Mini-projects

The following mini-projects were designed to accompany the textbook Computational Foundations of Cognitive Neuroscience.

  • Project 1: Spike latency coding
  • Project 2: Normalization in the visual system
  • Project 3: Perceptual bistability
  • Project 4: Bayesian inference with population codes
  • Project 5: The neuron as coincidence detector vs. integrator
  • Project 6: Illusory contours
  • Project 7: Magnitude estimation
  • Project 8: Predictive coding
  • Project 9: Population coding model of working memory
  • Project 10: Comparing models of evidence accumulation
  • Project 11: Decision confidence
  • Project 12: Multisensory integration
  • Project 13: Liquid state machines and interval timing
  • Project 14: Probabilistic population codes for decision making
  • Project 15: Mutual inhibition in memory and discrimination
  • Project 16: Hebbian plasticity as principal component analysis
  • Project 17: The role of sleep in learning
  • Project 18: Representational drift
  • Project 19: Temporal difference learning
  • Project 20: Probabilistic reinforcement learning
  • Project 21: Time representation in temporal difference learning
  • Project 22: Movement control and tonic dopamine
  • Project 23: Policy compression
  • Project 24: Policy gradient learning in the striatum