We show how a nonlinear recurrent network can be used to perform estimation in a near-optimal way while keeping the estimate in a coarse code format. This work ...
Our model uses lateral connections in a nonlin- ear recurrent network of direction-tuned neurons to come up with an ML estimate of direction in a coarse code ...
Our model uses lateral connections in a nonlin- ear recurrent network of direction-tuned neurons to come up with an ML estimate of direction in a coarse code ...
Coarse codes are widely used throughout the brain to encode sensory and motor variables. Methods designed to interpret these codes, such as population ...
Coarse codes are widely used throughout the brain to encode sensory and motor variables. Methods designed to interpret these codes, such as population ...
Efficient population coding depends on stimulus convergence and ...
pmc.ncbi.nlm.nih.gov › PMC8075262
Our results yield important insights into the diverse coding strategies used by neural populations to optimally integrate sensory stimuli in the presence of ...
Dec 5, 2023 · The efficient coding theory postulates that single cells in a neuronal population should be optimally configured to efficiently encode information about a ...
Nov 1, 2024 · In a population code, each neuron responds maximally to its preferred value and partially to other values of the encoded variable, with ...
Statistically efficient estimation using population coding. A. Pouget, K. Zhang, S. Deneve, and P.E. Latham. Neural Comput. 10:373-401 (1998). PDF ...
Statistically efficient estimation using population coding. Neural Comput. 1998;10:373–401. doi: 10.1162/089976698300017809. [DOI] [PubMed] [Google Scholar] ...