Denis Sheynikhovich
Denis Sheynikhovich
Vision Institute, Sorbonne University
Verified email at - Homepage
Cited by
Cited by
Is there a geometric module for spatial orientation? Insights from a rodent navigation model.
D Sheynikhovich, R Chavarriaga, T Strösslin, A Arleo, W Gerstner
Psychological review 116 (3), 540, 2009
Robust self-localisation and navigation based on hippocampal place cells
T Strösslin, D Sheynikhovich, R Chavarriaga, W Gerstner
Neural networks 18 (9), 1125-1140, 2005
Spatial learning and action planning in a prefrontal cortical network model
LE Martinet, D Sheynikhovich, K Benchenane, A Arleo
PLoS computational biology 7 (5), e1002045, 2011
A computational model of parallel navigation systems in rodents
R Chavarriaga, T Strösslin, D Sheynikhovich, W Gerstner
Neuroinformatics 3 (3), 223-241, 2005
Path planning versus cue responding: a bio-inspired model of switching between navigation strategies
L Dollé, D Sheynikhovich, B Girard, R Chavarriaga, A Guillot
Biological cybernetics 103 (4), 299-317, 2010
Interferometric data analysis based on Markov nonlinear filtering methodology
IP Gurov, DV Sheynihovich
JOSA A 17 (1), 21-27, 2000
Dopaminergic control of long-term depression/long-term potentiation threshold in prefrontal cortex
D Sheynikhovich, S Otani, A Arleo
Journal of Neuroscience 33 (34), 13914-13926, 2013
Contribution of cerebellar sensorimotor adaptation to hippocampal spatial memory
JB Passot, D Sheynikhovich, É Duvelle, A Arleo
PloS one 7 (4), e32560, 2012
Spatial representation and navigation in a bio-inspired robot
D Sheynikhovich, R Chavarriaga, T Strösslin, W Gerstner
Biomimetic Neural Learning for Intelligent Robots, 245-264, 2005
The role of tonic and phasic dopamine for long-term synaptic plasticity in the prefrontal cortex: a computational model
D Sheynikhovich, S Otani, A Arleo
Journal of Physiology-Paris 105 (1-3), 45-52, 2011
Age-related preference for geometric spatial cues during real-world navigation
M Bécu, D Sheynikhovich, G Tatur, CP Agathos, LL Bologna, JA Sahel, ...
Nature human behaviour 4 (1), 88-99, 2020
Competition between cue response and place response: a model of rat navigation behaviour
R Chavarriaga, T StrOSslin, D Sheynikhovich, W Gerstner
Connection Science 17 (1-2), 167-183, 2005
Noise-immune phase-shifting interferometric system based on Markov nonlinear filtering method
IP Gurov, DV Sheynikhovich
Statistical and Stochastic Methods for Image Processing 2823, 121-125, 1996
Analyzing interactions between cue-guided and place-based navigation with a computational model of action selection: Influence of sensory cues and training
L Dollé, D Sheynikhovich, B Girard, B Ujfalussy, R Chavarriaga, A Guillot
International Conference on Simulation of Adaptive Behavior, 335-346, 2010
A reinforcement learning approach to model interactions between landmarks and geometric cues during spatial learning
D Sheynikhovich, A Arleo
Brain research 1365, 35-47, 2010
Unsupervised detection of microsaccades in a high-noise regime
D Sheynikhovich, M Bécu, C Wu, A Arleo
Journal of vision 18 (6), 19-19, 2018
Spatial navigation in geometric mazes: A computational model of rodent behavior
D Sheynikhovich
Unpublished doctoral thesis, École Polytechnique Fédérale de Lausanne …, 2007
Non-linear phase estimation by computer-aided Markov filtering method: accuracy investigations
IP Gurov, DV Sheynihovich
TENCON'96. Proceedings. 1996 IEEE TENCON. Digital Signal Processing …, 1996
Modelling path integrator recalibration using hippocampal place cells
T Strösslin, R Chavarriaga, D Sheynikhovich, W Gerstner
International Conference on Artificial Neural Networks, 51-56, 2005
Exploratory behaviour depends on multisensory integration during spatial learning
D Sheynikhovich, F Grezes, JR King, A Arleo
International Conference on Artificial Neural Networks, 296-303, 2012
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