Computational Neuroscience

This code is an implementation of Computational Neuroscience mini-projects developed during the Computational Neuroscience course @ Department of Computer Science @ University of Pisa.

Contents

• Izhikevich model
• Hebbian learning
  1. Hebb rule
  2. Oja rule
  3. Subtractive normalization rule
  4. BCM rule
  5. Covariance rule
• Hopfield network
• Recurrent Neural Network (RNN) & Input Delayed Neural Network (IDNN) evaluated on different benchmark datasets:
  1. NARMA10
  2. Laser
  3. Mackey-Glass
• Echo State Network (ESN) evaluated on different benchmark datasets:
  1. NARMA10
  2. Laser
  3. Mackey-Glass