Training Workshop Tutorials

Lecture slides from the training workshops “An introduction to Mathematical Neuroscience” that took place prior to the Mathematical Neuroscience Conferences (MN-2008, MN-2009, MN-2010 and MN-2011) in Edinburgh.

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Peter Ashwin (University of Exeter) Dynamical modelling of systems of coupled oscillators

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Carson Chow (National Institutes of Health) Path integral methods for solving stochastic problems

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Stephen Coombes (University of Nottingham) Dynamical models: from neural microcircuits to cortical regions ( also podcast from HBM 2008 )

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Jon Peirce (University of Nottingham) Simple nonlinear models of V1 neurons. Click here for the associated Python Library.

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Rasmus Petersen (University of Manchester) Decoding neuronal activity

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Mark van Rossum (University of Edinburgh) Modeling synapses: Noise and dynamics

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Yulia Timofeeva (University of Warwick) Single neuron models. Some lecture notes

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Mark van Rossum (University of Edinburgh) Title

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John Terry (University of Bristol) Applications of modelling clinically recorded datasets

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Yulia Timofeeva (University of Warwick) Spatially extended models of single neurons: the role of dendrites.

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Stephen Coombes (University of Nottingham) Mathematical Neuroscience: from neurons to networks ( also online talk from the 2009 SIAM annual meeting. )

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Alex Roxin (Institut d'Investigacions Biomèdiques August Pi i Sunyer) From networks to normal forms: using reduced models to understand network dynamics. Supplementary material on Companion calculations for tutorial on reduced models.

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Eric Shea-Brown (University of Washington) Introduction to correlated spiking in neural coding and dynamics

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Bard Ermentrout (University of Pittsburgh) Neural reduction

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John White (University of Utah) Techniques in Neurophysiology

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