Cheng Ly
Mathematical Neuroscience: stochastic neural behavior
Abstract
The brain is arguably the most complex 'system' ever encountered. The
goal is to understand how neurons behave in different situations as a
starting point.
However, neurons are extremely complicated exhibiting stochastic behavior
on various levels. Investigations into the underlying mechanisms of
neural networks crucially depend on mathematical techniques ranging
from numerical methods, dynamical systems, probability theory, statistics,
etc. This talk will highlight some of theoretical tools that have
been developed, as well as their applications.
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