Elnaz Nemati

This paper presents a spiking network model of Layer 2/3 in V1 that computes sign-specific prediction errors through compartmentalized neurons without synaptic weight updates.

This paper develops a spiking neural network model of V1 layer 4 to study predictive coding, showing it can reproduce in vivo features and maintain E-I balance under varying input conditions.

This paper introduces a predictive coding model to study motion detection, showing how prior knowledge and sensory data balance in schizophrenia, with longer convergence times in higher noise.