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Computational neuroscience: the basics

By
Level
Beginner

Introduction to modeling the brain.

Neuron anatomy and signaling, and different types of models
Abstract models of neurons.
Ionic basis of the action potential
Forms of plasticity on many levels
Modelling of chemical computation in the brain
Synaptic plasticity on the molecular level
Lessons of this Course
1
Duration:
1:23:01

This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.

2
Duration:
8:23

This lecture describes non-spiking simple neuron models used in artificial neural networks and machine learning.

3
Duration:
28:29

The ionic basis of the action potential, including the Hodgkin Huxley model. 

4
Duration:
1:11:29
Speaker:

Forms of plasticity on many levels - short-term, long-term, metaplasticity, structural plasticity. With examples related to modelling of biochemical networks. 

[NB: The sound uptake is a bit noisy the first few minutes, but gets better from about 5 mins in]

 

5
Duration:
1:00:11
Speaker:

Introduction to modelling of chemical computation in the brain

6
Duration:
15:44

Conference presentation on computationally demanding studies of synaptic plasticity on the molecular level