How neuronal network circuit attributes influence neural activity, coding, and learning
Monday, June 14 at 11:30am (PDT)Monday, June 14 at 07:30pm (BST)Tuesday, June 15 03:30am (KST)
Cheng Ly (Virginia Commonwealth University, United States), Pamela Pyzza (Kenyon College, United States)
The complexities of neural sensory systems currently cannot be elucidated by experiments alone. The detailed circuit electrophysiology at the cellular level, as well as large-scale images require contemporary mathematics and computation to gain further insights into how they function. This mini-symposium brings together a broad group of researchers who will discuss their approaches to using applied mathematics and computation to understand experimental data collected from neural recordings under healthy and/or pathological conditions. The researchers will focus on topics range from detailing circuit mechanisms of neuron spike variability, neuronal connectivity, olfaction, to population activity in relation to neural coding.