227-0395-00L Neural Systems

Master course at ETH Zürich, ETH Zürich, D-ITET, 2020

This course introduces principles of information processing in neural systems. Behavioral science allows reading out the computations performed by the brain whereas neuroscience reveals how they are implemented. Based on neuroscience experiment.

This course introduces

  • Basic neurophysiology and mathematical descriptions of neurons
  • Methods for dissecting animal behavior
  • Neural recordings in intact nervous systems and information decoding principles
  • Methods for manipulating the state and activity in selective neuron types
  • Neuromodulatory systems and their computational roles
  • Reward circuits and reinforcement learning
  • Imaging methods for reconstructing the synaptic networks among neurons
  • Birdsong and language
  • Neurobiological principles for machine learning.