Self-organization in computational neuroscience

Self-organization is a process by which systems, usually composed of many individual parts, spontaneously develop structure or function without specific guidance. Self-organization occurs in a variety of physical, chemical, biological, social and cognitive systems. Self-organized processes are in addition to environmental and genetic factors crucial for the development of the brain. We will discuss the phenomenon of self-organization in the realm of computational neuroscience. It is a highly inter-disciplinary topic that uses analysis tools from statistical physics, mathematics and computer science. Some of the discussed topics will be:

• Self-organization by means of synaptic plasticity
• Organization of visual cortex
• Self-organized criticality
• Information-theoretic aspects of self-organization

Date and time info
Wednesday 11.30-13.00

Keywords
computational neuroscience, self-organization, simulation and analysis

Prerequisites
fundamental mathematical knowledge (ODEs, probability theory, ...)

Audience
MSc students, PhD students, Postdocs

Language
English/German (on demand)