CAM Seminar—A brain-spired spiking neural model for artificial intelligence

Date:2019-11-15

Speaker:Dongzhuo Zhou(Shanghai Jiao Tong University)

Time:2019-11-15 14:00-15:00

Venue:Room 1303,Sciences Building No. 1

Abstract: Spiking neural networks are widely applied to simulate cortical dynamics in the brain, and are regarded as the next generation of machine learning. Therefore, as a first step, it is important to model single-neuron dynamics quantitatively. However, the existing point neuron models fail to capture dendritic effects, which are crucial for neuronal information processing. We derive an effective point neuron model, which incorporates an additional synaptic integration current arising from the nonlinear interaction between synaptic currents across spatial dendrites. Our model captures the somatic voltage response of a realistic neuron with complex dendrites and provides some insight into the construction of basic unit in artificial neural networks.