Dr Guillaume Hennequin
Dr Guillaume Hennequin is pleased to consider applications from prospective PhD students.
https://hennequin-lab.github.io (personal home page)
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.
Associated News Items
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
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
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
Hennequin G, Gerstner W, Pfister JP (2010), “STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission.” Front Comput Neurosci 4:143 Details