Connectionists: PhD at Edinburgh on data analysis

[Matthias Hennig]

A funded PhD position is available at the University of Edinburgh to
develop and implement efficient paralellised methods for analysis of
large scale, high density multielectrode array recordings. The project
will focus on analysis of primary raw data from a 4,096 channel array,
and aims at improving spike detection and sorting, and statistical
analysis of multi-neuron activity. Data will come from the labs of
Evelyne Sernagor (Newcastle, retina) and Luca Berdondini (IIT Genova,
cultured networks).

Applicants should have a strong quantitative background and interest in
interdisciplinary research. Background in neuroscience and/or parallel
programming is desirable, but not essential. This position is available
to UK/EU applicants, and eligible for funding by the EPSRC CDT in
Pervasive Parallelism.

Interested individuals should send a c.v., statement of interest and the
names of three references to Matthias Hennig (h.hennig at ed.ac.uk).

Apply by 1 February 2016.

PPar
http://pervasiveparallelism.inf.ed.ac.uk/

J.-O. Muthmann, H. Amin, E. Sernagor, A. Maccione, D. Panas, L.
Berdondini, U.S. Bhalla, M.H. Hennig (2015). Spike detection for large
neural populations using high density multielectrode arrays. Front
Neuroinform, 9:28.
http://journal.frontiersin.org/article/10.3389/fninf.2015.00028/abstract

D. Panas, H. Amin, A. Maccione, O. Muthmann, M. van Rossum, L.
Berdondini, M.H. Hennig (2015). Sloppiness in spontaneously active
neuronal networks. J Neurosci, 35(22): 8480-8492.
http://www.jneurosci.org/content/35/22/8480.full

-- 
Matthias H Hennig
http://homepages.inf.ed.ac.uk/mhennig/

-- 
Matthias H Hennig
http://homepages.inf.ed.ac.uk/mhennig/

The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.