Dr Guillaume Hennequin

Guillaume Hennequin

University position

Lecturer

Dr Guillaume Hennequin is pleased to consider applications from prospective PhD students.

Departments

Department of Engineering

Email

gjeh2@cam.ac.uk

Home page

http://hennequin.bitbucket.org (personal home page)

Research Theme

Systems and Computational Neuroscience

Interests

I study the link between physiology and behaviour from a computational viewpoint. I am interested in the dynamics of sensory and motor cortices, and how they support complex computations such as movement generation or perceptual inference. Through methods from control theory, statistical physics and dynamical systems, my research has led to a couple of models of neuronal population dynamic, that explain some key aspects of movement-related activity in M1, as well as the stimulus dependence of activity variability in many cortical areas.

Research Focus

Keywords

theoretical neuroscience

dynamical models of cortex

excitation/inhibition balance

synaptic plasticity

perception

Clinical conditions

No direct clinical relevance

Equipment

Computational modelling

Collaborators

Cambridge

Mate Lengyel

United Kingdom

Tim Vogels Web: http://www.dpag.ox.ac.uk/team/gr...

Associated News Items


Publications

2014

Hennequin G, Vogels TP, Gerstner W (2014), “Optimal control of transient dynamics in balanced networks supports generation of complex movements.” Neuron 82(6):1394-406 Details

2013

Zenke F, Hennequin G, Gerstner W (2013), “Synaptic plasticity in neural networks needs homeostasis with a fast rate detector.” PLoS Comput Biol 9(11):e1003330 Details

2012

Hennequin G, Vogels TP, Gerstner W (2012), “Non-normal amplification in random balanced neuronal networks.” Phys Rev E Stat Nonlin Soft Matter Phys 86(1 Pt 1):011909 Details

2010

Hennequin G, Gerstner W, Pfister JP (2010), “STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission.” Front Comput Neurosci 4:143 Details