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Systems Neuroscience: Computing with Populations of Neurons

NEU 437/MOL 437/PSY 437

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Introduction to a mathematical description of how networks of neurons can represent information and compute with it. Course will survey computational modeling and data analysis methods for neuroscience. Example topics are short-term memory and decision-making, population coding, modeling behavioral and neural data, and reinforcement learning. Classes will be a mix of lectures from the professor, and presentations of research papers by the students. Two 90 minute lectures, one laboratory. Lectures in common between NEU 437/NEU 537.
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Section B01

  • Type: Lab
  • Section: B01
  • Status: O
  • Enrollment: 21
  • Capacity: 29
  • Class Number: 42182
  • Schedule: F 01:30 PM-04:20 PM

Section L01