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Sacha Sokoloski
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Year
Implementing a bayes filter in a neural circuit: The case of unknown stimulus dynamics
S Sokoloski
Neural computation 29 (9), 2450-2490, 2017
132017
Modelling the neural code in large populations of correlated neurons
S Sokoloski, A Aschner, R Coen-Cagli
Elife 10, e64615, 2021
62021
Implementing a Bayes Filter in a Neural Circuit: The Case of Unknown Stimulus Dynamics. ArXiv
S Sokoloski
arXiv preprint ArXiv:1512.07839, 2015
52015
Asymmetric distribution of color-opponent response types across mouse visual cortex supports superior color vision in the sky
K Franke, C Cai, K Ponder, J Fu, S Sokoloski, P Berens, AS Tolias
bioRxiv, 2023
22023
Implementing Bayesian inference with neural networks
S Sokoloski
2019 Leipzig, 2019
22019
Efficient stochastic control with Kullback Leibler costs using kernel methods
S Sokoloski
Efficient stochastic control with Kullback Leibler costs using kernel methods, 2013
12013
A computational approach to visual ecology with deep reinforcement learning
S Sokoloski, J Majnik, P Berens
arXiv preprint arXiv:2402.05266, 2024
2024
Effects of non-retinal inputs in visual thalamus depend on visual responsiveness and stimulus context
L Schmors, A Kotkat, Y Bauer, Z Huang, D Crombie, L Meyerolbersleben, ...
bioRxiv, 2023.10. 18.562960, 2023
2023
Hierarchical mixtures of Gaussians for combined dimensionality reduction and clustering
S Sokoloski, P Berens
arXiv preprint arXiv:2206.04841, 2022
2022
Conditional Finite Mixtures of Poisson Distributions for Context-Dependent Neural Correlations
S Sokoloski, R Coen-Cagli
arXiv preprint arXiv:1908.00637, 2019
2019
Implementing a Bayes Filter in a Neural Circuit: The Case of Unknown, Nonlinear Stimulus Dynamics
S Sokoloski
arXiv preprint arXiv:1512.07839, 2015
2015
Nonlinear Filtering with Population Codes.
S Sokoloski
arXiv preprint arXiv:1512.07839, 2015
2015
A Biologically Realistic Model of Saccadic Eye Control with Probabilistic Population Codes
S Sokoloski
arXiv preprint arXiv:1210.4145, 2012
2012
Modelling the neural code in large
S Sokoloski, A Aschner, R Coen-Cagli
Training Stay Review
S Sokoloski
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Articles 1–15