SEMINARIOS DE DOCTORADO 2005-2006
Doctorado en Ingeniería
Informática y de
Telecomunicación
Escuela Politécnica Superior, Universidad Autónoma de
Madrid
12 de enero de 2006, 10:00
Salón de Grados, Escuela Politécnica Superior,
Universidad Autónoma de Madrid
Computational
Neuroscience Platforms for Neural Interfacing
Tim C. Pearce
NeuroLab, Centre
for Bioengineering, University of Leicester (UK)
Abstract
By exploiting fine-grained parallelism and single clock cycle numerical
iteration, spiking neuronal models with realistic synaptic dynamics can
be deployed in programmable logic with simulation speeds of at least 5
orders of magnitude faster than real-time. When deployed on
commercially available field programmable gate arrays (FPGAs), these
physical implementations may then be multiplexed to generate a total of
105-106
neural elements (dynamical synapses or somas) operating on a single
device in biological time - comparable to the number of neurons
comprising the nervous systems of Drosophila melanogaster or output
stages of the basal ganglia. I will describe the various tricks we used
to optimise these low-complexity dynamical neuron designs to achieve
exact integration numerical performance. Summed up, this platform
provides a real-time programmable logic construction kit of commonly
used population-based neural model elements, which supports the
construction of large and complex dynamical network architectures,
suited to coupling with the nervous system and real-time physiological
experiments. To conclude, I will discuss how such an approach may
possibly be adopted for future bidirectional hardware interfacing of
neurons.
Work done in collaboration with Marcus Diesmann and Abigail
Morrison, Albert-Ludwigs-Universität Hansastr. 9a 79104 Freiburg,
Germany
PDF presentation
Tim C. Pearce
Dr Tim C. Pearce currently holds a Lectureship in Bioengineering at
Leicester University where he runs NeuroLab http://www.neurolab.le.ac.uk/
<http://www.neurolab.le.ac.uk/>
which focuses on research on computational models of olfactory
information processing and their application to machine
olfaction. He
holds a first degree in Electronic Engineering (Honours)
awarded by
Warwick University and received a PhD. from the same institution in
1997. He has since held the position of Visiting Research Assistant
Professor at the Department of Neuroscience, Tufts University Medical
School, Boston, USA were he worked on a DARPA supported research
programme to translate principles of information processing in the
biological olfactory pathway over to practical to instrumentation for
chemical sensing. He currently serves as an Editorial Board member of
the Journal of Neural Engineering and has been invited to teach at the
Advanced European Summer School in Computational Neuroscience, Obidos,
Portugal, at the 1st European School of Neuroengineering, Venice, Italy
and at the Neuromorphic Engineering Workshop, Telluride, Colorado, USA
on numerous occasions. He was recently elected a Fellow of the
Institute of Physics and is a Junior Member of the Isaac Newton
Institute for Mathematical Sciences, Cambridge.