This lecture covers an introduction to connectomics, and image processing tools for the study of connectomics.
This lecture gives an introduction to simulation, models, and the neural simulation tool NEST.
This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.
This lecture covers acquisition techniques, the physics of MRI, diffusion imaging, prediction using fMRI.
This lecture will provide an overview of neuroimaging techniques and their clinical applications.
A basic introduction to clinical presentation of schizophrenia, its etiology, and current treatment options.
The ionic basis of the action potential, including the Hodgkin Huxley model.
This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.
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]
Introduction to modelling of chemical computation in the brain
Conference presentation on computationally demanding studies of synaptic plasticity on the molecular level
Part 1 of 2 of a tutorial on statistical models for neural data
Part 2 of 2 of a tutorial on statistical models for neural data.
Introduction to simple spiking neuron models.
This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.
Introduction to the course Cellular Mechanisms of Brain Function.
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]
Introduction to modelling of chemical computation in the brain
Conference presentation on computationally demanding studies of synaptic plasticity on the molecular level
Introduction to stability analysis of neural models