Principles of intracellular modelling and computation
Principles of intracellular modelling and computation
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.
- MOOSE simulator.
Prerequisites
Requires a prior understanding of basic cell and neuron function equivalent to the Cellular Mechanisms of Brain Function course.
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