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Category:
Scientific Computing

Lecturer:
Prof. Dr. Wulfram Gerstner, Laboratory of Computational Neuroscience, École polytechnique fédérale de Lausanne, Switzerland

Place:
Kirchhoff Insitute for Physics, Otto-Haxel-Lecture Hall, Im Neuenheimer Feld 227

Host:
Physikalisches Institut

Description:
What happens in your brain when you learn to ride a bike or memorize a new word? In this talk, I will discuss mathematical models of memory formation and learning. Neurons communicate with each other in form of short electrical pulses. The pulses travel along 'axonal' cables that ramify and form thousands of synapses with other neurons. The strength of a synaptic connection is the location where memories are stored. Mathematical learning rules describe how and when these synaptic connections change. Simulations and analysis of neural network models show how such learning rules, located at the level of synaptic connections, can lead to global changes in brain function via formation of memories. While the classic Hopfied model from 1982 , which for the first time linked the physics of spin glasses to the brain , assumed that memories are pre- learned, modern models of brain- inspired neural network try to understand how online learning upon exposure to new events is possible.

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