Guillaume Hennequin
Guillaume Hennequin
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Optimal control of transient dynamics in balanced networks supports generation of complex movements
G Hennequin, TP Vogels, W Gerstner
Neuron 82 (6), 1394-1406, 2014
1802014
Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector
F Zenke, G Hennequin, W Gerstner
PLoS computational biology 9 (11), e1003330, 2013
1152013
Inhibitory Plasticity: Balance, Control, and Codependence
G Hennequin, EJ Agnes, TP Vogels
Annual Review of Neuroscience 40 (1), 2017
802017
Non-normal amplification in random balanced neuronal networks
G Hennequin, TP Vogels, W Gerstner
Physical Review E 86 (1), 011909, 2012
562012
STDP in adaptive neurons gives close-to-optimal information transmission
G Hennequin, W Gerstner, JP Pfister
Frontiers in Computational Neuroscience 4, 2010
372010
The Dynamical Regime of Sensory Cortex: Stable Dynamics around a Single Stimulus-Tuned Attractor Account for Patterns of Noise Variability
G Hennequin, Y Ahmadian, DB Rubin, M Lengyel, KD Miller
Neuron 98 (4), 846-860. e5, 2018
362018
Fast Sampling-Based Inference in Balanced Neuronal Networks
G Hennequin, L Aitchison, M Lengyel
Advances in Neural Information Processing Systems, 2240-2248, 2014
362014
Motor primitives in space and time via targeted gain modulation in cortical networks
JP Stroud, MA Porter, G Hennequin, TP Vogels
Nature neuroscience 21 (12), 1774-1783, 2018
312018
Exact natural gradient in deep linear networks and its application to the nonlinear case
A Bernacchia, M Lengyel, G Hennequin
Advances in Neural Information Processing Systems, 5945-5954, 2018
132018
Code-specific policy gradient rules for spiking neurons
H Sprekeler, G Hennequin, W Gerstner
Advances in Neural Information Processing Systems, 1741-1749, 2009
102009
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference
R Echeveste, L Aitchison, G Hennequin, M Lengyel
bioRxiv, 696088, 2020
52020
Analog Memories in a Balanced Rate-Based Network of EI Neurons
D Festa, G Hennequin, M Lengyel
Advances in Neural Information Processing Systems, 2231-2239, 2014
52014
Neuroscience out of control: control-theoretic perspectives on neural circuit dynamics
TC Kao, G Hennequin
Current Opinion in Neurobiology 58, 122-129, 2019
42019
Sampling-based probabilistic inference emerges from learning in neural circuits with a cost on reliability
L Aitchison, G Hennequin, M Lengyel
arXiv preprint arXiv:1807.08952, 2018
32018
Stability and amplification in plastic cortical circuits
G Hennequin
ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE, 2013
32013
Information Transmission in Dynamical Networks: The Normal Network Case
G Baggio, V Rutten, G Hennequin, S Zampieri
2018 IEEE Conference on Decision and Control (CDC), 2543-2548, 2018
22018
Characterizing variability in nonlinear recurrent neuronal networks
G Hennequin, M Lengyel
arXiv preprint arXiv:1610.03110, 2016
22016
Null Ain’t Dull: New Perspectives on Motor Cortex
TC Kao, G Hennequin
Trends in cognitive sciences 22 (12), 1069-1071, 2018
12018
Asymptotic scaling properties of the posterior mean and variance in the Gaussian scale mixture model
R Echeveste, G Hennequin, M Lengyel
arXiv preprint arXiv:1706.00925, 2017
12017
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data
KT Jensen, TC Kao, M Tripodi, G Hennequin
arXiv preprint arXiv:2006.07429, 2020
2020
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