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Description:
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Panelists:
This is the third in a series of panel discussions in collaboration with Neuromatch Academy, the online computational neuroscience summer school. In this episode, the panelists discuss their experiences with stochastic processes, including Bayes, decision-making, optimal control, reinforcement learning, and causality.
The other panels:
- First panel, about model fitting, GLMs/machine learning, dimensionality reduction, and deep learning.
- Second panel, about linear systems, real neurons, and dynamic networks.
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