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Reverse Spikeology: Predicting Single Spikes

Neural models that simulate single spike trains can help us understand the basic principles of neural coding in vision. Keat et al. (2001) develop a hybrid model that combines spatiotemporal filtering with nonlinear spike generation. The model does a good job of predicting the responses of single re...

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Bibliographic Details
Published in:Neuron 2001-06, Vol.30 (3), p.646-647
Main Authors: Gallant, Jack L, Vinje, William E
Format: Article
Language:English
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Online Access:Get full text
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Summary:Neural models that simulate single spike trains can help us understand the basic principles of neural coding in vision. Keat et al. (2001) develop a hybrid model that combines spatiotemporal filtering with nonlinear spike generation. The model does a good job of predicting the responses of single retinal ganglion cells and thalamic relay neurons.
ISSN:0896-6273
1097-4199
DOI:10.1016/S0896-6273(01)00336-1