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Principles of Intracellular Modelling and Computation

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Difficulty level
Beginner
Speaker
Type
Duration
1:00:11

This lesson provides an introduction to modelling of chemical computation in the brain.

Topics covered in this lesson
  • The varying time- and size-scales of brain function.
  • Chemical computation in the brain.
  • Models incorporating chemical signalling.
  • Examples of chemical networks.
  • Levels of chemical signalling description.
  • Reaction-level networks.
  • Mass-action kinetics.
  • Mass-action kinetic equations.
  • Enzyme reactions.
  • Reaction-diffusion and stochastic chemistry.
  • Feedback loops.
  • Oscillators.
  • Patterns in space (spatial oscillators).
  • Feedforward inhibition.
  • Stimulus pattern detection and spike-timing dependent plasticity.
  • Bistable switches.
Prerequisites

Requires a prior understanding of basic cell and neuron function equivalent to the Cellular Mechanisms of Brain Function course.