Summary
International Symposium on Nonlinear Theory and Its Applications
2016
Session Number:A4L-D
Session:
Number:A4L-D-5
Computation of Visual Neurons in LGN-V1 Transmission
Kantaro Fujiwara, Tohru Ikeguchi,
pp.-
Publication Date:2016/11/27
Online ISSN:2188-5079
Summary:
In the lateral geniculate nucleus (LGN), it is reported that mean firing rates and higher order statistics change with time while a drifting sinusoidal grating was presented. On the other hand, such characteristics cannot be observed in primary visual cortex (V1). Focusing on such differences, we construct a minimal cortical model of LGN-V1 transmission. As a result, we show that highly precise spike timings are essential for information coding in LGN, while noisy spikes are utilized in V1.