Cheng Ly
Mathematical Neuroscience: stochastic neural behavior

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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