Introduction

Cortical circuit encodes, transmits and stores neural information. Our research in general is to develop biologically motivated single neuron and network models that can explain neuroscience experimental observations, and, can be used to mathematically analyze their computational roles in terms of neural information processing. Ongoing work includes:
1)develop a general associative learning model that can explain basic structural and dynamical properties of local cortical networks;
2) reconstruct the micro-scale connectome of a cortical column based on various 3-D morphologically defined cell types;
3) develop a local, online and biologically plausible learning algorithm that can reproduce experimentally observed structural properties of cortical networks.