AB009. Learning dynamics in a neural network model of the primary visual cortex

Hugo Ladret, Laurent Perrinet
2019 Annals of Eye Science  
The primary visual cortex (V1) is a key component of the visual system that builds some of the first levels of coherent visual representations from sparse visual inputs. While the study of its dynamics has been the focus of many computational models for the past years, there is still relatively few research works that put an emphasis on both synaptic plasticity in V1 and biorealism in the context of learning visual inputs. Here, we present a recurrent spiking neural network that is capable of
more » ... ike timing dependent plasticity (STDP) and we demonstrate its capacity to discriminate spatio-temporal orientation patterns in noisy natural images. Methods: A two stage model was developed. First, natural images flux (be it videos/gratings/camera) were converted into spikes, using a difference of gaussians (DOG) approach. This transformation approximates the retina-
doi:10.21037/aes.2019.ab009 fatcat:j7zxq2odzna3xmieyufruqggqq