MNN | Mathematical Neuroscience Network | An EPSRC funded Mathematics Network

Welcome to the UK Mathematical Neuroscience Network: MNN

Mathematical neuroscience here means an area of neuroscience where mathematics is the primary tool for elucidating the fundamental mechanisms responsible for experimentally observed behaviour.

MNN aims to provide a UK focus for the use of mathematical approaches to problems in neuroscience. The Network will allow and encourage more UK mathematicians to engage in fundamental neuroscience and at the same time tackle substantial mathematical challenges that will be of broader scientific interest to the nonlinear and complex systems community. Importantly, it can draw attention to, and develop, those pieces of mathematical theory which are likely to be relevant to future studies of the brain.
Specific objectives are to:

establish and maintain a "Mathematical Neuroscience Network" with a balanced membership from experimental and theoretical groups.
run a number of one-day workshops at a variety of locations in the UK.
hold an annual meeting in the form of an international conference on Mathematical Neuroscience.
generate new collaborative projects and develop techniques that cross the boundaries between disciplines and enhance our understanding of neural behaviour.
report back to members and the wider community on network meetings and progress made within the Network.
establish a web-based resource for interdisciplinary research in mathematical neuroscience.

Steering Committee

Prof. Stephen Coombes (PI)

Dr Yulia Timofeeva (CoI)

Prof. David Willshaw

Prof. Charles Marsden

Dr John Terry

Quick links

Current news and opportunities

MBI Emphasis Year on Mathematical Neuroscience July 2012 - June 2013 (29 August 2011)

In 2012-13 MBI will return to mathematical neuroscience, which was the subject of its first emphasis year in 2002-3. Over the past decade, mathematics has entered new subfields of neuroscience, and has begun to suggest unexpected parallels among others. We will open the emphasis year with a workshop focusing on such parallels, in the form of general challenges posed by dynamics of nonlinear, spiking networks, and will organize a series of workshops to follow that will highlight mathematical impact and possibilities in the most active and exciting areas of neuroscience.

Neural Engineering Transformative Technologies: NETT 2013, July 1-6 (24 Jan 2013)

This one week conference will bring together international experts to discuss the state of the art in the field of Neural Engineering. It will also include a number of tutorial presentations for those new to the field as well as presentations from industrial companies including National Instruments, Brain Products and BitBrain. Deadline 3 May 2013.

See other news and opportunities...

Upcoming MNN meetings and Other Events

The Brain as a Self-Organized Dynamical System
29 - 31 May 2013, Osnabrueck, Germany

1st Baltic-Nordic Summer School on Neuroinformatics: Computations in the Brain and Translational Neuroscience
29 - 31 May 2013, Vytautas Magnus University, Kaunas, Lithuania

The FACM'13 Mathematical Biology minisymposia
May 31 - June 2 2013, New Jersey Institute of Technology, Newark, USA

Brain Connectivity Workshop
12 - 14 June 2013, Vancouver, Canada

See other meetings...

Upcoming seminars

Global collaborative neuroscience: Building the brain from big data
13:00, Webcast, Tuesday 21 May, Sean Hill (Karolinska Institute in Stockholm, Sweden)

Symbolic toolkit for exploration of deterministic chaos
, University of Exeter, Tuesday 4 June, Andrey Shilnikov (Georgia State University, USA)

Bifurcation theory for bursting patterns in multifunctional central pattern generator models
, University of Bristol, Friday 7 June, Andrey Shilnikov (Georgia State University, USA)

Dynamics of neurons coupled by inhibitory and excitatory synapses
, Imperial College, London, Tuesday 11 June, Andrey Shilnikov (Georgia State University, USA)

See other seminars...