Computing by modulating spontaneous cortical activity patterns as a mechanism of active visual processing

发布时间:Oct 9, 2021 放大 缩小

  讲座主题:Computing by modulating spontaneous cortical activity patterns as a mechanism of active visual processing

  讲座时间:2021.10.10(星期日)15:00-16:30

  讲座地点:腾讯会议,会议号437880538

  参加人员:科研人员、研究生

  主讲人:陈国璋

  主持人:兰海

  讲座主要内容:Cortical populations produce complex spatiotemporal activity spontaneously without sensory inputs. However, the fundamental computational roles of such spontaneous activity remain unclear. Here, we propose a new neural computation mechanism for understanding how spontaneous activity is actively involved in cortical processing: Computing by Modulating Spontaneous Activity (CMSA). Using biophysically plausible circuit models, we demonstrate that spontaneous activity patterns with dynamical properties, as found in empirical observations, are modulated or redistributed by external stimuli to give rise to neural responses. We find that this CMSA mechanism of generating neural responses provides profound computational advantages, such as actively speeding up cortical processing. We further reveal that the CMSA mechanism provides a unifying explanation for many experimental findings at both the single-neuron and circuit levels, and that CMSA in response to natural stimuli such as face images is the underlying neurophysiological mechanism of perceptual “bubbles” as found in psychophysical studies.

  主讲人简介:陈国璋博士在格拉茨科技大学主要从事大脑视觉皮层建模,神经网络斑图动力学,及类脑计算研究。目前在Nature communications 等期刊发表论文7篇。