Self-organization in computational neuroscience
- Felix Effenberger
- Anna Levina
Abstract
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)