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 covers structured data, databases, federating neuroscience-relevant databases, ontologies.
This lecture will provide an overview of neuroimaging techniques and their clinical applications.
This lecture provides an overview of depression (epidemiology and course of the disorder), clinical presentation, somatic co-morbidity, and treatment options.
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.
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
Introduction to stability analysis of neural models
Introduction to stability analysis of neural models
Oscillations and bursting