WEEK 1
Integrate-and-fire model
  • Neurons and synapses: Overview
  • The passive membrane
  • Leaky integrate-and-fire model
  • Generalized integrate-and-fire models
  • Quality of integrate-and-fire models
WEEK 2
Hodkin-Huxley model
  • Biophysics of neurons
  • Reversal potential and Nernst equation
  • Hodgkin-Huxley Model
  • Threshold in the Hodgkin-Huxley Model
  • Detailed Biophysical Models
WEEK 3
Synapses and dentrites
WEEK 4
2D model
WEEK 5
Stochastic model
  • Variability of Spike Trains
  • Sources of Variability?
  • Three Definitions of Rate Code
  • Poisson Model
  • Stochastic Spike Arrival
  • Membrane Potential Fluctuations
  • Stochastic Spike Firing in Integrate and Fire Models
WEEK 6
The noise
  • Escape Noise
  • Interspike Intervals & Renewal Processes
  • Likelihood of a Spike Train
  • Comparaison of Noise Models
  • From Diffuse Noise to Escape Noise
  • Rate Codes versus Temporal Codes
WEEK 7
Current models & applications
  • Models and data
  • AdEx: Adaptive exponential integrate-and-fire
  • Firing patterns and phase plane analysis
  • Spike Response Model (SRM)
  • Generalized Linear Model (GLM)
  • Parameter estimation
  • Parameter estimation for spike times
  • Modeling in vitro data
  • Helping Humans