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The Journal of Neurophysiology Vol. 87 No. 3 March 2002, pp. 1586-1602
Copyright ©2002 by the American Physiological Society
Biology Department, Emory University, Atlanta, Georgia 30322
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ABSTRACT |
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Hill, Andrew A. V., Mark A. Masino, and Ronald L. Calabrese. Model of Intersegmental Coordination in the Leech Heartbeat Neuronal Network. J. Neurophysiol. 87: 1586-1602, 2002. We have created a computational model of the timing network that paces the heartbeat of the medicinal leech, Hirudo medicinalis. The rhythmic activity of this network originates from two segmental oscillators located in the third and fourth midbody ganglia. In the intact nerve cord, these segmental oscillators are mutually entrained to the same cycle period. Although experiments have shown that the segmental oscillators are coupled by inhibitory coordinating interneurons, the underlying mechanisms of intersegmental coordination have not yet been elucidated. To help understand this coordination, we have created a simple computational model with two variants: symmetric and asymmetric. In the symmetric model, neurons within each segmental oscillator called oscillator interneurons, inhibit the coordinating interneurons. In contrast, in the asymmetric model only the oscillator interneurons of one segmental oscillator inhibit the coordinating interneurons. In the symmetric model, when two segmental oscillators with different inherent periods are coupled, the faster one leads in phase, and the period of the coupled system is equal to the period of the faster oscillator. This behavior arises because, during each oscillation cycle, the oscillator interneurons of the faster segmental oscillator begin to burst before those of the slower oscillator, thereby terminating spike activity in the coordinating interneurons. Thus there is a brief period of time in each cycle when the oscillator interneurons of the slower segmental oscillator are relieved of inhibition from the coordinating interneurons. This "removal of synaptic inhibition" allows, within certain limits, the slower segmental oscillator to be sped to the period of the faster one. Thus the symmetric model demonstrates a plausible biophysical mechanism by which one segmental oscillator can entrain the other. In general the asymmetric model, in which only one segmental oscillator has the ability to inhibit the coordinating interneurons, behaves similarly, except only one segmental oscillator can control the period of the system. In addition, we simulated physiological experiments in which a "driving" stimulus, consisting of alternating positive and negative current steps, was used to control a single oscillator interneuron and thereby entrain the activity of the entire timing network.
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INTRODUCTION |
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The generation of many rhythmic
movements appears to involve the coordination of distributed
oscillators within the nervous system. For example, the motor patterns
that underlie wave-like behaviors, such as undulatory swimming in leech
and in lamprey or the beating of crayfish swimmerets, are generated by
neuronal networks that can be approximated as chains of coupled
segmental oscillators (Friesen and Pearce 1993
;
Grillner et al. 1993
; Sigvardt 1993
;
Skinner and Mulloney 1998a
). Each segmental oscillator
consists of a local network of neurons that is capable of generating
rudimentary rhythmic output (Murchison et al. 1993
;
Sigvardt 1993
). The coordinated output of the entire
chain of oscillators often shows phase relationships that are
appropriate for the pattern of muscle activation in the intact,
behaving animal (e.g., forward swimming) (Wallén and Williams 1984
). Intersegmental coordination results primarily from ascending and descending synaptic connections between the segmental oscillators, although sensory feedback also reinforces and
fine-tunes the intersegmental phase relationships (Cang and Friesen 2000
; Di Prisco et al. 1990
).
Two main hypotheses have been proposed to explain the generation of
appropriate phase differences between segmental oscillators. The
"asymmetric coupling hypothesis" states that phase differences are
generated by asymmetries in the coupling between segmental oscillators
(Skinner et al. 1997
; Williams et al.
1990
). For example, ascending and descending coordinating
interneurons may differ in terms of the distances that their axons
project, the strength and sign of their synapses, and their
postsynaptic targets (Skinner and Mulloney 1998a
,b
). In
contrast, the "excitability gradient hypothesis" states that phase
differences arise from differences in the oscillation periods of the
segmental oscillators (Grillner et al. 1993
;
Ikeda and Wiersma 1964
; Matsushima and Grillner
1990
, 1992
). This difference may be based on
either the inherent periods of the segmental oscillators or a gradient
of excitation along the nerve or spinal cord (Tunstall and
Sillar 1993
).
In this paper, we have used simulations to explore how phase
differences may arise between segmental oscillators in the timing network of the leech heartbeat central pattern generator
(Peterson 1983a
). This network consists of four pairs of
identified heart interneurons found in the first four midbody ganglia
(G1 to G4; Fig. 1A). Rhythmic
oscillations arise from the activity of two segmental oscillators,
located in the third and fourth ganglia, which can oscillate
independently (Masino and Calabrese 2002a
; Peterson 1983a
,b
). When the segmental oscillators are
coupled, a stable phase relationship is established. For example, in
Fig. 1B, the phase between the segmental oscillators is
about 15% (a positive value indicates that the G4 oscillator
interneurons lead the ipsilateral G3 oscillator interneurons). The
previous paper in this series showed that, although phase is stable
within a single preparation, there is variation between preparations
from about
10% to +20% (Masino and Calabrese 2002a
).
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To help understand how phase and period are determined at the
level of individual interneurons and their synaptic connections, we
created two simple models (asymmetric and symmetric) that represent two
conceptual simplifications of the timing network (Fig. 1C). We then tested these models in ways that are similar to experiments that can be done in the biological system (Masino and Calabrese 2002a
,b
). We found that in the symmetric model when two
segmental oscillators with different inherent periods were coupled, the faster one led in phase, and that the absolute size of the phase difference was proportional to the period difference. Furthermore, the
period of the coupled network was equal to that of the faster oscillator. The ability of the faster segmental oscillator to entrain
the slower one arises from a mechanism, which we have called "removal
of synaptic inhibition." The asymmetric model showed similar
behavior, except that entrainment only occurred when the inherent
period of the G3 segmental oscillator was faster than that of the G4
segmental oscillator. Some of the predictions of these models are
tested experimentally in the following paper (Masino and
Calabrese 2002b
).
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METHODS |
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Computational methods
Each heart interneuron was represented as a single isopotential
compartment with intrinsic and synaptic currents. The dynamics of
membrane potential (V) of each oscillator interneuron (a
neuron originating from the 3rd or 4th ganglion) obey
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10 F), Iion
is an intrinsic voltage-gated current,
IL is the leak current,
ISynG is the graded synaptic current,
ISynS is the spike-mediated synaptic current, and Iinject is the injected current.
Each oscillator interneuron contained eight voltage-dependent intrinsic
currents. Five inward currents were included: a fast Na+ current
(INa), a persistent
Na+ current
(IP), a fast, low-threshold
Ca2+ current
(ICaF), a slow, low-threshold
Ca2+ current
(ICaS), and a
hyperpolarization-activated cation current (Ih) (Angstadt and
Calabrese 1989
, 1991
; Olsen and
Calabrese 1996
; Opdyke and Calabrese 1994
).
Three outward currents were included: a delayed rectifier-like
K+ current
(IK1), a persistent
K+ current
(IK2), and a fast transient
K+ current (IKA)
(Simon et al. 1992
). All currents were characterized in
voltage-clamp experiments except for
INa. The equations and parameters
describing these intrinsic currents are in Hill et al.
(2001)
.
There are two types of inhibitory synapses in the timing network:
graded synapses, which are dependent on the influx of presynaptic Ca2+ through low-threshold
Ca2+ channels (Angstadt and Calabrese
1991
), and spike-mediated synapses, which are dependent on the
influx of presynaptic Ca2+ through high-threshold
Ca2+ channels during a spike (Lu et al.
1997
). There are both graded and spike-mediated synapses
between the model oscillator interneurons, but only spike-mediated
synapses between the model coordinating interneurons (neurons with cell
bodies in the 1st and 2nd ganglia) and the model oscillator
interneurons (Hill et al. 2001
). The equations and
parameters of these currents are described in Hill et al.
(2001)
.
In contrast to the oscillator interneurons, the intrinsic currents of
the coordinating neurons have not been characterized because their
active currents are located at a large distance from soma. Thus the
model coordinating neurons were constrained to conform roughly to the
observed behaviors of the biological neurons (Masino and
Calabrese 2002a
; Peterson 1983b
). They were modeled as single isopotential compartments with three
voltage-dependent currents: INa,
IK1, and
IK2. The model coordinating
interneurons fired tonically when not inhibited with a mean spike
frequency of about 4 Hz, which is similar to the mean spike frequency
of a coordinating interneuron burst in the biological system
(Hill et al. 2001
). The biological coordinating
interneurons, however, show spike adaptation within each burst: the
frequency declines from about 7 to 2 Hz (Fig. 1B)
(Masino and Calabrese 2002a
).
Simulations were done with Genesis, software for Hodgkin and Huxley
style models (Bower and Beeman 1998
; Hodgkin and
Huxley 1952
). The exponential Euler integration method was used
with a time step of 0.1 ms. When a parameter was varied in a number of
trials, each simulation began from the same initial conditions and was
iterated for 100 s of simulation time before collecting data for
analysis. This allowed the model system to settle down from the
perturbing effects of the parameter change. Physiological methods and
data analysis are as described by Masino and Calabrese (2002a)
.
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RESULTS |
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Two simple models of the timing network
The rationale for the use of the asymmetric and symmetric models
is based on the known properties of the timing network (Masino and Calabrese 2002a
). At the core of each of the two segmental oscillators is a half-center oscillator, consisting of two heart interneurons, called oscillator interneurons, which form reciprocally inhibitory synapses across the ganglion midline (Fig. 1A)
(Masino and Calabrese 2002a
). In addition, a segmental
oscillator includes the axonal and neuritic processes of heart
interneurons called "coordinating interneurons" that originate in
the first and second ganglia (G1 and G2). Each coordinating interneuron
has two spike initiation sites, located in the third and fourth ganglia
(G3 and G4 sites; Fig. 1A). Normally, most spikes arise from
the primary initiation sites in the fourth ganglion, which may have
slightly higher inherent spike frequencies than the G3 sites
(Jezzini et al. 2000
; Masino and Calabrese
2002a
). Under certain conditions, however, spike initiation may
shift to the secondary, G3 sites (Masino and Calabrese
2002a
). For example, in a chain consisting of only the first
through the third ganglia, spikes are initiated at the G3 sites
(Masino and Calabrese 2002a
; Peterson
1983a
). In addition, in the intact timing network, when the G4
oscillator interneurons lead the G3 oscillator interneurons in phase,
spike initiation may switch from the fourth ganglion to the third
ganglion part way through a coordinating interneuron burst
(Masino and Calabrese 2002a
; Peterson
1983a
,b
). Initially, spikes originate from the G4 site;
however, when the G4 oscillator interneurons begin to burst, the G4
site becomes inhibited. At this time, the G3 site can begin to spike
and continue to spike until the G3 oscillator interneurons burst and
inhibit the G3 site. This capacity to switch spike initiation sites
results from an asymmetry in the network. The G3 oscillator
interneurons inhibit both the G3 and the G4 sites, whereas the G4
oscillator interneurons inhibit only the G4 sites (Fig. 1A).
A major simplification of both the asymmetric and symmetric models is
that the coordinating interneurons are represented as having only a
single spike initiation site (Fig. 1C). The symmetric network corresponds to a network in which the secondary spike initiation sites in G3 never become active. In this network, both the
G3 and G4 oscillator interneurons can prevent the G4 sites from
spiking. Thus the model oscillator interneurons of both ganglia inhibit
the coordinating interneurons. The asymmetric network corresponds to a
network in which the G3 sites become active immediately after the G4
sites become inhibited and fire at the same frequency as the G4 sites.
In this network, the synapses from the G4 oscillator interneurons to
the coordinating interneurons are ineffective in silencing the
coordinating interneurons. Thus only the G3 oscillator interneurons
inhibit the coordinating interneurons. A second simplification of both
models is that the coordinating interneurons spike tonically during a
burst, rather than showing spike adaptation as in the biological system
(Fig. 1B) (Masino and Calabrese 2002a
).
Inherent period of a model segmental oscillator was varied
In this paper, we present results from modeling experiments in
which the inherent period of one segmental oscillator was varied while
the period of the other one was maintained constant. To vary the period
of a segmental oscillator, we changed the maximal conductance of the
hyperpolarization-activated current
(

). A model of a segmental oscillator with a standard set of
parameters, called the canonical model, has a value of

), the
period of the segmental oscillator is always greater than the period of
the corresponding half-center oscillator due to the extra inhibition
from the coordinating interneurons (Fig. 2C).
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Although we present results below of modeling experiments in which only

In the symmetric network, the faster segmental oscillator leads in phase and determines the coupled period
To test the idea that phase differences in the symmetric network may arise from differences in the inherent periods of the segmental oscillators, we varied the inherent period of the G4 segmental oscillator while maintaining the period of the G3 segmental oscillator constant (Fig. 3A). As demonstrated in the examples given below, this experiment shows that, when two segmental oscillators with different inherent periods are coupled, the faster one leads in phase, and that the period of the coupled system is equal to the period of the faster segmental oscillator.
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When the inherent period of the G4 segmental oscillator was increased
above the canonical value, the G3 segmental oscillator led in phase
(Fig. 3B). Because the long-term stability of phase relationships is difficult to determine from just a few cycles, we
created an actogram of the model interneuron bursts (Masino and
Calabrese 2002a
). In Fig. 3C, symbols that represent
the median spike times of each burst form straight, vertical lines,
demonstrating that the cycle period and phase relationships were
stable. The period of the coupled system was equal to the inherent
period of the G3 segmental oscillator (9.7 s), which was the faster
oscillator. In a network composed of two segmental oscillators with the
canonical value of 
In addition, when we systematically varied

25 to +20%. Outside of this range, phase relationships
were not stable and were characterized by relative entrainment; where
the interneurons interacted, however, their bursts were not matched
one-to-one. For example, in Fig. 4D the G4 segmental
oscillator has an inherent period greater than G3 segmental oscillator.
The first burst in the G4 oscillator interneuron occurred at roughly
the same time as the first burst in the G3 oscillator interneuron. The
phase relationships, however, were not stable. With each successive
burst the G3 oscillator interneuron led the G4 oscillator interneuron
by a larger amount. Eventually, by the fifth burst in G4 oscillator
interneuron, there were two bursts in the G3 oscillator interneuron.
The periodic nature of the interaction between G3 oscillator
interneuron and G4 oscillator interneuron can be seen in an actogram
(Fig. 4E). From this point on, one-to-one entrainment will
be simply referred to as entrainment.
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In addition, we plotted the relationship between the period of the
coupled system and the value of


Duty cycle and phase of the coordinating interneurons vary with the phase difference between the segmental oscillators
One characteristic of the symmetric model is that the oscillator interneurons of either segmental oscillator may terminate the bursts in the coordinating interneurons. Thus the coordinating interneurons only spike during the window of time when neither ipsilateral oscillator interneuron is spiking (Fig. 3). Therefore a phase difference between the segmental oscillators led to a reduction in the duty cycle of the coordinating interneurons (Fig. 5A). Furthermore, the minimum duty cycle of the coordinating interneurons was about 20% regardless of which segmental oscillator led (Fig. 5B). In comparison, the duty cycles of the G3 and G4 oscillator interneurons did not vary from ~50%.
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In addition to the change in duty cycle, the phase of the coordinating
interneurons varies with the phase difference between the segmental
oscillators. For example, when the phase difference between the
segmental oscillators was zero, the phase between the coordinating
interneurons and both segmental oscillators was about 53% (Fig. 5,
A and C). An increase in the phase between the
segmental oscillators (
3
4) led to an increase in the phase between the
coordinating interneurons and the G4 segmental oscillator
(
2
4), and
simultaneously, a decrease in the phase between the coordinating
interneurons and the G3 segmental oscillator (
2
3). The reason
for the increase in the phase between the coordinating interneurons and
the G4 segmental oscillator can be seen in Fig. 5A. When the
G4 segmental oscillator leads in phase, the oscillator interneurons of
the G3 segmental oscillator postpone the onset of bursts in the
coordinating interneurons. Thus the phase difference between the
coordinating interneurons and the G4 segmental oscillator increases.
Similarly, the decrease in phase between the coordinating interneurons
and the G3 segmental oscillator occurs because, when the G4 segmental
oscillator leads in phase, the bursts of the coordinating interneurons
are truncated earlier, which shifts the coordinating interneuron bursts
closer to those of the G3 segmental oscillator (Fig. 5A).
The slopes of the changes in
2
4 and
2
3 are 0.5 and
0.5, respectively (Fig.
5C). These values reflect the ability of both segmental
oscillators to completely inhibit spiking in the model coordinating
interneurons. In contrast, in the asymmetric model, the slopes were
very different (data not shown). The phase between the coordinating
interneurons and the G3 segmental oscillator (
2
3) was constant
(m = 0) because the G3 segmental oscillator solely
determines the timing of the coordinating interneuron bursts. The
relationship between
2
4 and the phase difference between the
segmental oscillators had a slope of 1.0 because the G4 segmental oscillator had no effect on the coordinating interneuron bursts.
Faster segmental oscillator speeds the slower segmental oscillator by removing inhibition
We have shown that when two segmental oscillators with different inherent periods are coupled, the oscillator interneurons of the faster segmental oscillator lead in phase. As a result, the oscillator interneurons of the faster segmental oscillator burst before the oscillator interneurons of the slower segmental oscillator and, thereby, terminate the activity of the coordinating interneurons (Fig. 3, B and F). Thus there is a brief period of time when an oscillator interneuron of the slower segmental oscillator only receives inhibition from the contralateral oscillator interneuron. In this manner, the faster segmental oscillator removes coordinating fiber inhibition from the slower one.
To test the idea that removal of the inhibition may be sufficient to explain the ability of the faster segmental oscillator to entrain the slower one, we carried out several different modeling experiments. In the first experiment, we studied the effect of truncating the coordinating interneuron bursts on the interburst interval of the oscillator interneurons. In a series of trials, the bursts of the coordinating interneurons were truncated by injecting negative current at different times (Fig. 6, B and C). Initially, progressively truncating the coordinating interneuron bursts was very effective at decreasing the interburst interval (Fig. 6D, region of curve from point A to B). However, beyond a certain point, further truncation of the bursts had no effect on the interburst interval (Fig. 6D, region of curve around point C). This modeling experiment indicates that inhibition from the coordinating interneurons that occurs late in the inhibited phase is effective at increasing the interburst interval, whereas inhibition that occurs early is not effective. Furthermore, the minimum interburst interval occurred when the duration of the coordinating burst was of intermediate length (Fig. 6, B and D, point B). This result is likely to be due to postinhibitory rebound.
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When two segmental oscillators with different inherent periods are coupled, the oscillator interneurons of the slower segemental oscillator lag in phase and thereby postpone the activity of the coordinating interneurons (Fig. 3, B and F). To test whether postponing the onset of the coordinating interneuron bursts has an effect on the interburst interval, we performed a complementary experiment to the one described above. In this experiment, the onset of the coordinating interneuron bursts was postponed by the injection of negative current. Trials, which were begun from one set of initial conditions, show that, up to a critical point, delaying the onset of the coordinating interneuron bursts had little effect on the interburst interval (Fig. 6, E and F). Beyond this point, however, the coordinating interneuron bursts were delayed so much that the oscillator interneuron began to spike before the coordinating neurons, preventing the coordinating interneurons from bursting (Fig. 6G).
This result was confirmed when the experiment was repeated in six sets of trials, each set beginning from different initial conditions (Fig. 6H). Using different initial conditions was necessary because the response of the system to postponing the onset of the coordinating interneuron bursts was quite variable. The averaged data show that over a large range delaying the bursts of the coordinating interneurons did not change the interburst interval. Beyond a critical point, however, the oscillator interneuron began to burst before the coordinating interneurons, causing a precipitous decrease in the interburst interval.
These modeling experiments demonstrate that coordinating interneuron inhibition that occurs late in the inhibited phase is very effective at increasing the interburst interval, whereas inhibition that occurs early in the inhibited phase has relatively little effect. Therefore the faster segmental oscillator, which leads in phase, can speed the system, whereas the slower segmental oscillator, which lags in phase, cannot affect the period of the system.
The effectiveness of coordinating interneuron inhibition changes within
the inhibited phase of an oscillator interneuron for several reasons.
According to a modeling study, at the beginning of the inhibited phase,
inhibition from the contralateral oscillator interneuron is strong,
consisting of both spike-mediated and graded transmission (Hill
et al. 2001
). Thus the total inhibitory conductance is
sufficiently large to hold the oscillator interneuron at a hyperpolarized potential without extra inhibition from the coordinating interneurons. In contrast, by the end of the inhibited phase, the
graded conductance has completely waned, the
hyperpolarization-activated current
(Ih) has become activated, and removal
of inactivation of Ca2+ currents has occurred. At
this point, the inhibited interneuron is primed to begin the next
burst, but it is held in the inhibited state by the spike-mediated
inhibition from the contralateral oscillator interneuron. The exact
timing of the transition to the burst phase is dependent on a delicate
balance between the rate of decline in spike frequency of the
contralateral oscillator interneuron and the level of
Ih conductance (Hill et al.
2001
). Thus extra spike-mediated inhibition from the
coordinating interneurons is very effective at delaying the onset of
the next burst.
The modeling experiments shown above do not demonstrate whether the
removal of inhibition can account for the observation that the slower
segmental oscillator can be sped to its half-center oscillator period.
To answer this question, we measured the effect of changing the
duration of the coordinating interneuron inhibition on the cycle period
of a segmental oscillator. In this experiment, the synapses from the
coordinating interneurons to the oscillator interneurons were deleted
and replaced with square-wave conductances (Fig.
7). The reversal potential of this
conductance was equal to that of an inhibitory synapse (
62.5 mV).
Each cycle, the onset of the conductance was triggered from the first
spike in the burst of the ipsilateral G2 coordinating interneuron (not
shown). The amplitude of this conductance was adjusted so that when the
duration of the conductance was equal to the duration of a normal
coordinating interneuron burst the period of the system was equal to
that of the canonical segmental oscillator (Fig. 7C). As the
duration of the conductance was decreased, there was a nearly linear
decrease in the period of the system from the canonical segmental
oscillator period to the canonical half-center oscillator period (Fig.
7D, region of the curve between point C and a 2 s
duration). Eventually, however, as the duration of the conductance was
reduced to very short values (below 2 s), there was no further
decrease in period. This result demonstrates that removal of inhibition
can speed a segmental oscillator to the period of its half-center
oscillator, but not beyond. In the opposite direction, as the duration
of the conductance was extended beyond the duration of a coordinating interneuron burst, there was also no change in the period (Fig. 7D, points to the right of point C). This result indicates
that after an oscillator neuron has begun to burst, further inhibition has little effect.
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Canonical symmetric network can only be driven faster than its mutually entrained period
In the biological system, driving experiments have been done in
which the period of the entire timing network was controlled by a
stimulus applied to a single heart interneuron. In these experiments,
alternating positive and negative current steps were injected into an
oscillator interneuron, thereby controlling its oscillation period
(Peterson 1983b
; Peterson and Calabrese
1982
). Furthermore, due to the strong inhibitory synapses
between oscillator interneurons, the activity of the contralateral
oscillator interneuron was controlled, and, within limits, the period
of the entire heartbeat network could be controlled (Peterson
1983b
; Peterson and Calabrese 1982
). These
experiments are fundamentally different from mutual entrainment
experiments because they are open loop in nature. Information flows
from the driven oscillator to the follower oscillator, but not in the
other direction. Although the synapses from the coordinating
interneurons to the driven segmental oscillator are still present, they
are rendered ineffective if the driving stimulus is strong.
We replicated these driving experiments in the model with essentially
the same methods as in the biological system. However, because the
model often shows spike failure in response to depolarizing current,
the model was driven by changes in conductance rather than current. A
single oscillator interneuron received a 20-nS conductance that
alternated between a reversal potential of
40 and
55 mV with a duty
cycle of 50%, causing the interneuron to alternate between spiking and
silent phases. As in the biological system, driving one oscillator
interneuron also controlled the contralateral interneuron. Unlike the
mutual entrainment experiments in which phase was plotted against the
period difference between the segmental oscillators, we plotted
phase against the period difference between the driven segmental
oscillator and the mutually entrained system (Fig.
8B). This convention follows
that used in biological experiments in which the period of the mutually entrained system is more easily measured than the inherent periods of
the segmental oscillators.
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We first drove the left G3 oscillator interneuron of the canonical symmetric model (Fig. 8A). In this model, the G3 and G4 segmental oscillators are identical. Thus in the mutually entrained network there was no phase difference and the period was 9.7 s. Entrainment only occurred when the G3 segmental oscillator led in phase (Fig. 8, B, D, and E), and when system was driven to periods between the G4 half-center oscillator period and the G4 segmental oscillator period (Fig. 8C). Outside of this range, relative entrainment occurred. In the canonical symmetric model, the G4 segmental oscillator period is equal to the mutually entrained period (Fig. 8C). Thus the system can only be driven faster than the mutually entrained period.
The mechanism by which the driven segmental oscillator entrains the network is essentially the same as the mechanism by which the faster segmental oscillator determines the period of the mutually entrained system. The oscillator interneurons of the driven segmental oscillator remove inhibition from the oscillator interneurons of the follower segmental oscillator (Fig. 8D). This mechanism can only work when the driven oscillator leads in phase. Thus the driven period must be faster than the inherent segmental oscillator period of the follower oscillator. Also, similar to the mutually entrained network, the lower limit to which the system can be driven is the half-center oscillator period of the follower oscillator. Because the network is symmetric, corresponding results were obtained by driving the G4 oscillator interneurons.
Symmetric network can be driven slower than its mutually entrained period if the driven segmental oscillator originally leads in phase
In the biological system, a phase difference often exists between
the segmental oscillators of the coupled network, with the G4 segmental
oscillator leading in most cases (Masino and Calabrese 2002a
). To simulate driving experiments under these situations, we created two symmetric networks: one in which the G3 segmental oscillator led in phase (Fig. 9,
A-C) and one in which the G4 segmental oscillator led in
phase (Fig. 9, D-F).
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To make the G3 segmental oscillator lead in phase, the period of the G4
segmental oscillator was increased (Fig. 9A). In the mutually entrained network, the period was 9.7 s (Fig.
9C), equal to that of the G3 segmental oscillator, and the
phase was about
11% (Fig. 9B). As in the canonical
symmetric network, a driving stimulus could entrain the network to a
period between the G4 half-center oscillator period and the G4
segmental oscillator period (Fig. 9C). However, in
this network, the mutually entrained period was faster than the G4
segmental oscillator period (cf. Figs. 8C and
9C). Thus the network could be driven slower than the
mutually entrained period.
The mechanism by which the system can be driven slower than the mutually entrained period is essentially the same as the "removal of inhibition" mechanism. In the mutually entrained network, the G3 segmental oscillator leads in phase. Thus when the network is driven slower than the mutually entrained period, the phase lead of the G3 segmental oscillator decreases (Fig. 9B), causing an increase in the duration of the coordinating interneurons bursts. This extra late inhibition from the coordinating interneurons slows the G4 segmental oscillator to the driven period. Thus the driving stimulus can increase the period of the system up to, but not beyond, the period of the G4 segmental oscillator.
To create a symmetric network in which the G4 segmental oscillator led in phase, the period of the G3 segmental oscillator was increased (Fig. 9D). The period of the mutually entrained system was 9.7 s (Fig. 9F) and the phase was 11% (Fig. 9E). As with the examples described above, the system could be driven to periods between the G4 half-center oscillator period and the G4 segmental oscillator period (Fig. 9F). Thus this network could be driven faster than its mutually entrained period, but not slower. In this case, a driving stimulus caused an abrupt shift in phase. In the mutually entrained system, the G4 segmental oscillator led in phase. Entrainment only occurred, however, when the G3 segmental oscillator led in phase (Fig. 9E). Because the network is symmetric, corresponding results were obtained by driving the G4 oscillator interneurons.
In the mutually entrained asymmetric network, entrainment only occurs when the G3 segmental oscillator leads in phase
We investigated mutual entrainment in the asymmetric
model in a manner similar to our study of the symmetric model. The
period of the G4 segmental oscillator was varied by changing

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Unlike the symmetric network, the system could be entrained to periods shorter than the half-center oscillator period of the slower oscillator (Fig. 10C). The G3 segmental oscillator can speed the G4 segmental oscillator beyond its half-center oscillator period because only the G3 oscillator interneurons control the coordinating interneurons. Thus when the G3 oscillator interneurons lead in phase, the bursts of the coordinating interneurons overlap with the trailing ends of the bursts of the G4 oscillator interneurons (Fig. 10D). This overlap causes a reduction in the spike frequency in the ipsilateral G4 oscillator interneuron, allowing the contralateral oscillator interneuron to escape earlier, resulting in faster oscillations.
In the asymmetric network, the G3 segmental oscillator can drive the G4 segmental oscillator faster than its half-center oscillator period
In the asymmetric network, the G4 oscillator interneurons do not inhibit the coordinating neurons. Therefore experiments in which G4 oscillator interneurons were driven did not result in entrainment (data not shown). When a G3 oscillator interneuron was driven, the results were generally similar to those found with the symmetric network. The asymmetric network can be driven faster, but not slower, than the inherent period of the follower segmental oscillator, and the driven segmental oscillator leads in phase (Fig. 11, A-C). Unlike the symmetric network, however, the asymmetric network can be driven faster than the half-center oscillator period of the G4 segmental oscillator (Fig. 11C). If both segmental oscillators had the same inherent period, entrainment occurred only when the system was driven to periods shorter than the period of the mutually entrained system (Fig. 11C). In contrast, in an asymmetric network in which the G4 segmental oscillator lagged in phase (Fig. 11, D and E), the period of the mutually entrained system was shorter than the G4 segmental oscillator period (Fig. 11F). Thus the network could be driven to periods that were either longer or shorter than that of the mutually entrained system.
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Driving a coordinating interneuron can speed the symmetric network
In the biological system, driving a coordinating interneuron can
entrain the entire heartbeat network (Peterson and Calabrese 1982
). In these experiments, single coordinating interneurons were driven by injecting current into their cell bodies. We did a
similar experiment with the symmetric model. The left G2 coordinating interneuron was driven by a 20-nS conductance that alternated between a
reversal potential of
40 and
55 mV. Spike frequencies were similar
to those in unperturbed model coordinating interneurons (Fig.
12, B and C). In
this modeling experiment, the synapses from the G3 and G4 oscillator
interneurons to the driven G2 coordinating interneuron were deleted to
prevent the bursts in the oscillator interneurons from inhibiting the
driven G2 coordinating interneuron (Fig. 12A). Removing
these synapses reflects the inability of the oscillator interneurons to
affect the firing of a coordinating interneuron that is stimulated at
its soma.
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We tested a symmetric network in which the G3 segmental oscillator led the G4 segmental oscillator by about 15%. This system could be driven faster, but not slower than the period of the mutually entrained network (Fig. 12D). The mechanisms by which the system was driven faster were removal of late inhibition and overlap between the bursts of the driven coordinating interneuron and the trailing ends of the bursts of the oscillator interneurons (Fig. 12, B and C). The network could not be driven slower than the period of the mutually entrained system because the inhibition that the leading segmental oscillator received was no stronger than that which it would normally receive during mutual entrainment. Entrainment to slower periods only occurs when the spike frequency of the driven coordinating interneuron is higher than normal (data not shown).
Over the range of entrainment, the phase relationship between the segmental oscillators was quite stable (Fig. 12D), indicating that the driven coordinating interneuron had a similar speeding effect on both segmental oscillators. Unlike the systems explored above, the duty cycle of the oscillator interneurons varied considerably from 50%. For example, as the network was driven faster the duty cycle of left G3 oscillator interneuron decreased due to overlap between its bursts and the bursts of the driven G2 coordinating interneuron (Fig. 12, B, C, and E). In contrast, the duty cycle of the left G4 oscillator interneuron was below 40% at all entrained periods. The G4 segmental oscillator was inherently slower than the G3 segmental oscillator; therefore the bursts of the driven G2 coordinating interneuron always overlapped with those of the left G4 oscillator interneuron (Fig. 12, B, C, and E). The decrease in an oscillator interneuron's duty cycle below 50% was matched by a reciprocal increase in the duty cycle of its contralateral partner.
Periodic synaptic inhibition can slow or speed a half-center oscillator
Based on the modeling experiments we presented above, the effect of coordinating interneuron inhibition on the period of a half-center oscillator appears to depend on its phase with respect to the oscillator interneurons. To test this idea directly, we added cyclical barrages of inhibition to a half-center oscillator (Fig. 13, A and B). In a series of trials, we varied the cycle period of the inhibitory input and, after the system settled into a stable phase relationship, determined the phase between the input and the oscillator interneurons. We found that when the period of the inhibitory input was near that of the half-center oscillator, the inhibitory bursts had a phase of about 40% (Fig. 13C). At this phase, the barrages fall near the beginning of the inhibited phase of the oscillator interneurons, where the inhibition neither speeds nor slows the oscillations (not shown). When the period of the input was less than that of the half-center oscillator, the phase decreased (Fig. 13C), and the barrages overlapped with the trailing ends of the bursts in the oscillator interneurons (Fig. 13A). With longer periods, the phase of the input was greater, demonstrating that entrainment to longer periods requires late inhibition (Fig. 13, B and C). The upper limit of entrainment occurred when the period was near that of the canonical segmental oscillator (Fig. 13C). This experiment confirms that the phase of inhibitory input determines its effect on period.
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DISCUSSION |
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We have tested two models (asymmetric and symmetric) that
represent two simple conceptualizations of the heartbeat timing neuronal network. These models help us understand how the system may
work in two ways. First, they demonstrate plausible biophysical mechanisms that could underlie intersegmental coordination. And second,
they make predictions that can be tested against the behavior of the
biological system. The next paper in this series (Masino and
Calabrese 2002b
) compares the behavior of the biological system to these two models.
Difference in the inherent periods of the segmental oscillators leads to a phase difference
In the symmetric model, when two segmental oscillators with
different inherent periods are mutually entrained, the faster one leads
in phase, regardless of whether it is the G3 or G4 segmental oscillator. In addition, the absolute size of the phase difference depends on the size of the period difference: the larger the period difference, the larger the absolute phase difference. Also, the model
shows stable phase relationships over a large range of phase values
from about
25 to +20%. This wide range of possible phase values
corresponds well with the range of values observed in the biological
system, which are between
10 and +20% (Masino and Calabrese
2002a
). In contrast, in the asymmetric network, entrainment only occurs when the G3 segmental oscillator leads the G4 segmental oscillator (negative phase values). Thus the symmetric model
corresponds better to the biological system than the asymmetric model
in terms of mutual entrainment.
Removal of inhibition accounts for the ability of the faster segmental oscillator to entrain the slower segmental oscillator
In the symmetric network, when two segmental oscillators with different inherent periods are coupled, the period of the mutually entrained system is equal to that of the faster segmental oscillator. This property arises because, cycle by cycle, the oscillator interneurons of the faster segmental oscillator burst before the oscillator interneurons of the slower segmental oscillator. The faster oscillator interneurons thereby inhibit the coordinating interneurons, and there is a brief period of time when the slower oscillator interneurons are relieved of coordinating interneuron inhibition. This removal of inhibition causes the slower oscillator interneurons to be sped to the period of the faster oscillator interneurons. The limit to which the faster segmental oscillator can speed the system is the half-center oscillator period of the slower oscillator.
In the asymmetric network, there is an additional mechanism by which the G3 segmental oscillator can speed the G4 segmental oscillator. In this network the bursts of the coordinating interneurons can overlap temporally with the trailing ends of the bursts in the ipsilateral G4 oscillator interneruon. This overlap causes a decrease in the spike frequency, allowing the contralateral G4 oscillator interneuron to advance to its burst phase earlier. Cycle by cycle, this early transition to the burst phase allows the G4 segmental oscillator to be sped faster than its half-center period.
Phase difference between the segmental oscillators can lead to a shift in phase of the coordinating interneurons
In both the symmetric and asymmetric models the phase of the
coordinating interneurons shifts as the phase changes between the
segmental oscillators. In the mutually entrained symmetric network, a
change in the phase between the oscillator interneurons (
3
4) leads to a
shift in the phase of the coordinating interneurons with respect to
both the G3 and the G4 oscillator interneurons. For example, as
3
4 increases,
2
4 increases with
a slope of 0.5, and
2
3 decreases with a slope of
0.5. The fact
that the absolute values of these slopes are equal reflects the ability of both the G3 and G4 oscillator interneurons to inhibit the
coordinating interneurons. In contrast, in the asymmetric network, as
3
4 increases,
2
4 increases with
a slope of 1.0, and
2
3 stays constant (a slope of 0), reflecting
the ability of the G3 oscillator interneurons alone to inhibit the
coordinating interneurons.
The phase relationships in the biological system are intermediate
between those of the two models. In the biological system, an increase
in
3
4 leads to an
increase in
2
4
with a slope of 0.7 and a decrease in
2
3 with a slope of
0.3 (Masino and
Calabrese 2002a
). This result may reflect the observation that
the G3 oscillator interneurons inhibit both spike initiation sites of
the coordinating interneurons, whereas the G4 oscillator interneurons
inhibit only their G4 sites (Masino and Calabrese 2002a
;
Peterson 1983b
).
In driving experiments, entrainment only occurs when the driven segmental oscillator leads in phase
We did modeling experiments that replicate biological experiments
in which a driving stimulus, consisting of repetitive current pulses
applied to a single heart interneuron, can entrain the entire heartbeat
network (Peterson 1983b
; Peterson and Calabrese 1982
). A major difference between the