【预告】北京大学陶天乐 | Gating and Information Processing in ...

报告直播二维码

此次报告由陕西师范大学主办，于2020年7月9日16:00开始。授权蔻享学术进行网络直播。

主题：Gating and Information Processing in Feedforward Networks

主讲人：陶天乐 教授

单位：北京大学

时间：2020年7月9日 16:00-17:30
主办方：陕西师范大学

报告摘要

Neural oscillations can enhance feature recognition, and improve learning and memory. Numerical studies have shown that coherent spiking can give rise to windows in time during which information transfer can be enhanced in neuronal networks. Unanswered questions are: 1) What is the transfer mechanism? And 2) how well can a transfer be executed? Here, we present a pulse-based mechanism by which a graded current amplitude may be exactly propagated from one neuronal population to another. The mechanism relies on the down-stream gating of mean synaptic current amplitude from one population of neurons to another via a pulse. Because transfer is pulse-based, information may be dynamically routed through a neural circuit with fixed connectivity. The transfer mechanism may be used as a building block for fast, complex information processing in neural circuits. Distinct control and processing components combine to form the basis for the binding, propagation, and processing of dynamically routed information within neural pathways. Here we show model circuits that can perform a variety of functions, including learning and memory transfer.

报告人简介

Louis was transplanted from Taipei to New York at a early age and had dreams of becoming an astrophysicist. Later on, after two degrees and two postdocs in Physics, he found computational neuroscience to be his true calling. Most recently he has worked on

modeling primary visual cortex, theoretical aspects of neuronal population dynamics, and

live, optical imaging of C. elegans behavior and its underlying neural circuits. Today he will talk about some of his work on the information processing of feedforward networks and how it could form the basis for neuromorphic computations.

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