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Personal profile

Research Interests

Computational neuroscience and analysis of neurophysiological data.
Specifically, our work is currently in the following areas:
* Function, plasticity and homeostasis at the sub-cellular and
cellular levels
* Stability and function in networks of neurons
* Analysis of high-density multielectrode recordings

Qualifications

2001-2005PhD in Computational Neuroscience
 University of Stirling
 Thesis Title: The Role of Non-Linearities in Visual Perception studied with a Computational Model of the Vertebrate Retina
1994-2000Ruhr Universitaet Bochum, Germany
 German Diplom in Physics

Biography

Dr Hennig employs statistical, computational and mathematical modelling to investigate stability and processing in neuronal circuits. With a background in physics, Dr. Hennig moved into neuroscience during his PhD, investigating models of the vertebrate retina. Supported by a MRC Career Development Award, his group has recently produced algorithms for primary data analysis for extracellular recordings, and has uncovered principles of circuit-remodelling in chronic recordings from large neuronal networks. Current projects include population coding in the retina, data-driven investigation of cortical circuits in rodent models of neurodevelopmental disorder models, and development of efficient inference methods for large scale neuronal circuit analysis.

Education/Academic qualification

Computational Neuroscience, Doctor of Philosophy (PhD), University of Stirling

Keywords

  • RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
  • QA75 Electronic computers. Computer science

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