Principles of Intracellular Modelling and Computation
Principles of Intracellular Modelling and Computation
This lesson gives an introduction to the 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.
- MOOSE simulator.
Prerequisites
Requires a prior understanding of basic cell and neuron function equivalent to the Cellular Mechanisms of Brain Function course.
Back to the course