title: Reverse spikeology: predicting single spikes.
abstract: 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.
authors: Department of Psychology and, University of California, Berkeley, Berkeley, CA 94720, USA.
authors: J L
authors: JL
authors: Gallant
authors: W E
authors: WE
authors: Vinje
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D007395:Interneurons / Q000502:physiology; D008959:Models, Neurological; D012165:Retinal Ganglion Cells / Q000502:physiology*; D013788:Thalamus / Q000166:cytology*