Spike Train Analysis Network

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Dissemination Workshop

The Network first Dissemination Workshop aimed to give PhD students an overview of the basic tools required for spike train analysis. The workshop was held over two days in Newcastle and was attended by students from across the UK and Europe. The first day comprised of a series of talks, videos of which can be found below. The second day sought to give students advise on analysing their own data with the help of day one's speakers.

Workshop Talks

Before Analysis	Stuart Baker	Newcastle University
Spike Detection and Discrimination	Juan Martinez-Gomez	University of Leicester
Basic Analyses	Elizabeth Williams	Newcastle University
Taking Care and Making Measurements	Andrew Jackson	Newcastle University
Tricks, Pitfalls and Advanced Methods	Stuart Baker	Newcastle University
Computational Considerations	Leslie Smith	University of Stirling
Frequency Domain Methods	Claire Witham	Newcastle University
CARMEN: Code Analysis, Repository and Modelling for e-Neuroscience	Colin Ingram	Newcastle University

Neural data analysis: Learning From Other Disciplines' Workshop

This workshop was very unusual as we aimed to bring together scientists from a variety of areas who analyse complex data, with the goal of exploring whether their methods could be useful in neural data analysis. The workshop was held for three days at Newcastle University and was attanded by sepakers from other disciplines and by neuroscientists. The first two days consisted of talks from other disciplines and on the third day there were one to one sessions and group discussions covering particular methods that might be applicable to neuroscientists.

The workshop programme can be downloaded here.

Workshop Talks

	Stuart Baker	Newcastle University, UK
In search for correlation in noisy and non-stationary multi-channel spike trains	Sonja Gruen	RIKEN Brain Science Institute, Wako-Shi, Japan
A Miscellany of Statistical Modelling Techniques	Rolf Turner	The University of Auckland, New Zealand
Fundamental limits on the suppression of molecular fluctuations	Ioannis Lestas	University of Cambridge, UK
Fundamental limits on the suppression of molecular fluctuations	Isabella Capllini	Durham University, UK
Use of artificial binary neural networks for pattern matching	Jim Austin	The University of York, UK
Ordinary vs. Stable chaos	Antonio Politi	CNR - Institute for Complex System, Italy
Graph Analysis of Complex Networks: Theory and Application	Gorka Zamora López	Humboldt University, Germany
Community Structure in Complex Networks: Marvel Superheroes, Sleeping Brains...and all that Jazz	Pablo Gleiser	Centro Atomico Bariloche, Argentina
Curve learning and clustering using Gaussian process prior	Jian Shi	Newcastle University, UK
Convolutive signal separation - the cocktail party problem	John McWhirter	Cardiff University, UK
An Index of Linear Determinism for Spatial data	Rajendra Bhansali	University of Liverpool, UK
On the modelling of seismic signals through the theory of stochastic processes	Pierfrancesco Cacciola	University of Brighton, UK
Nonlinear and Nonparametric Modelling Approaches for Time Series Forecasting	Siddharth Arora	University of Oxford, UK