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J Neurophysiol (May 1, 2003). 10.1152/jn.01047.2002
Submitted on Submitted 19 November 2002; accepted in final form 14 January 2003
Department of Neurobiology and Anatomy, University of Texas Medical School, Houston, Texas 77030
Crow, Terry and
Lian-Ming Tian.
Interneuronal Projections to Identified Cilia-Activating Pedal
Neurons in Hermissenda. J. Neurophysiol. 89: 2420-2429, 2003. Neural networks have been shown to
support the generation of more than one behavioral motor act. In the
nudibranch mollusk Hermissenda, Pavlovian conditioning
results in light, the conditioned stimulus (CS), evoking both
inhibition of locomotion and foot contraction. The synaptic
organization of the eyes and optic ganglion is well documented;
however, the characterization of the neural network mediating visually
modulated behaviors is incomplete. We have now characterized synaptic
connections between identified photoreceptors and a newly identified
interneuron (IIb), identified synaptic
projections from type I and type II interneurons to an inhibitory
interneuron (IIIi) and to two newly identified
pedal neurons, VP1 and VP2. Here we show that VP1 activates ciliary movement on the anterior foot and VP2 innervates the anterior foot and
ventral tentacle. Stimulation of the photoreceptors with light produced
two effects on the activity of VP1 and VP2. First, light inhibits type
Ii and IIi interneurons and
disinhibits VP1 and VP2. Depolarization of type
IIe interneurons also disinhibits VP1 and VP2.
Second, the light-elicited depolarization and increased tonic activity
of VP1 and VP2 is produced by excitatory synaptic input from
ipsilateral and contralateral type IIb
interneurons. Pedal neurons VP1 and VP2 receive similar synaptic input
from type I, II, and IIIi interneurons; this is
in agreement with previous research showing that the visual pathway
influences both ciliary locomotion and foot movement. The organization
of the visual system in Hermissenda provides for the
expression of cellular and synaptic plasticity supporting learning
without altering the networks ability to carry out the requirements for
normal visual processing.
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