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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 ofdoi:10.21037/aes.2019.ab009 fatcat:j7zxq2odzna3xmieyufruqggqq