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J Neurophysiol (August 1, 2007). doi:10.1152/jn.00125.2007
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Submitted on February 4, 2007
Accepted on July 28, 2007

Decoding visual inputs from multiple neurons in the human temporal lobe

Rodrigo Quian Quiroga1*, Leila Reddy2, Christof Koch3, and Itzhak Fried4

1 Engineering, University of Leicester, Leicester, United Kingdom
2 Biology, Caltech, Pasadena, California, United States
3 Caltech; Caltech, United States
4 Neurosurgery, UCLA, Los Angeles, California, United States

* To whom correspondence should be addressed. E-mail: rodri{at}vis.caltech.edu.

We investigated the representation of visual inputs by multiple simultaneously recorded single neurons in the human medial temporal lobe, using their firing rates to infer which images were shown to subjects. The selectivity of these neurons was quantified with a novel measure. About 4 spikes per neuron, triggered between 300-600 ms following image onset in a handful of units (7.8 on average), predicted the identity of images far above chance. Decoding performance increased linearly with the number of units considered, peaked between 400 and 500 ms, did not improve when considering correlations among simultaneously recorded units, and generalized to very different images. The feasibility of decoding sensory information from human extracellular recordings has implications for the development of brain-machine-interfaces.




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