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 | 145 | 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 | 111 | 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 | 94 | 2011 |
A computational model of parallel navigation systems in rodents R Chavarriaga, T Strösslin, D Sheynikhovich, W Gerstner Neuroinformatics 3, 223-241, 2005 | 78 | 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, 299-317, 2010 | 74 | 2010 |
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 | 51 | 2020 |
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 | 51 | 2013 |
Interferometric data analysis based on Markov nonlinear filtering methodology IP Gurov, DV Sheynihovich JOSA A 17 (1), 21-27, 2000 | 47 | 2000 |
Contribution of cerebellar sensorimotor adaptation to hippocampal spatial memory JB Passot, D Sheynikhovich, É Duvelle, A Arleo PloS one 7 (4), e32560, 2012 | 37 | 2012 |
Modeling place cells and grid cells in multi-compartment environments: Entorhinal–hippocampal loop as a multisensory integration circuit T Li, A Arleo, D Sheynikhovich Neural Networks 121, 37-51, 2020 | 36 | 2020 |
Spatial representation and navigation in a bio-inspired robot D Sheynikhovich, R Chavarriaga, T Strösslin, W Gerstner Biomimetic neural learning for intelligent robots: Intelligent systems …, 2005 | 32 | 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 | 26 | 2011 |
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 | 13 | 2018 |
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 | 13 | 2005 |
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 | 12 | 2010 |
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 | 12 | 2010 |
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 | 11 | 1996 |
Long-term memory, synaptic plasticity and dopamine in rodent medial prefrontal cortex: Role in executive functions D Sheynikhovich, S Otani, J Bai, A Arleo Frontiers in Behavioral Neuroscience 16, 1068271, 2023 | 10 | 2023 |
Landmark-based spatial navigation across the human lifespan M Bécu, D Sheynikhovich, S Ramanoël, G Tatur, A Ozier-Lafontaine, ... ELife 12, e81318, 2023 | 7 | 2023 |
Modelling path integrator recalibration using hippocampal place cells T Strösslin, R Chavarriaga, D Sheynikhovich, W Gerstner Artificial Neural Networks: Biological Inspirations–ICANN 2005: 15th …, 2005 | 7 | 2005 |