- Prominent Nonlinear Mixed Selectivity in the Dorsolateral Prefrontal ...🔍
- New insights on single|neuron selectivity in the era of population ...🔍
- Visual perceptual learning of feature conjunctions leverages non ...🔍
- A distributed and efficient population code of mixed selectivity ...🔍
- The implications of categorical and category|free mixed selectivity ...🔍
- What Causes Polysemanticity? An Alternative Origin Story of Mixed ...🔍
- Mixed selectivity🔍
- Stephanie E. Palmer🔍
Nonlinear mixed selectivity supports reliable neural computation
Prominent Nonlinear Mixed Selectivity in the Dorsolateral Prefrontal ...
... neuron activity, is known as nonlinear mixed selectivity. (NMS) ... Nonlinear mixed se- lectivity supports reliable neural computation.
New insights on single-neuron selectivity in the era of population ...
Nonlinear mixed selectivity supports reliable neural computation. PLoS Comput. Biol. 16, e1007544. doi: 10.1371/journal.pcbi.1007544. PubMed ...
Visual perceptual learning of feature conjunctions leverages non ...
Non-linear mixed selectivity is thought to increase coding reliability ... Nonlinear mixed selectivity supports reliable neural computation.
A distributed and efficient population code of mixed selectivity ...
Neuron 86,. 1478‑1490 (2015). 91. Johnston, W.J., Palmer, S.E. & Freedman, D.J. Nonlinear mixed selectivity supports reliable neural computation ...
The implications of categorical and category-free mixed selectivity ...
neuron has linear or nonlinear mixed selectivity depends ... Johnston WJ, Palmer SE, Freedman DJ: Nonlinear mixed · selectivity supports reliable neural ...
What Causes Polysemanticity? An Alternative Origin Story of Mixed ...
Nonlinear mixed selectivity supports reliable neural computation · ID W.JeffreyJohnstonID StephanieE.PalmerDavid J. Freedman. Computer Science.
Mixed selectivity: Cellular computations for complexity - OUCI
Stefano Fusi. List of references. Duncan, Cognitive focus through adaptive neural coding in the primate prefrontal cortex, с. 278; Duncan, ...
Stephanie E. Palmer - Google Scholar
Nonlinear mixed selectivity supports reliable neural computation. WJ Johnston, SE Palmer, DJ Freedman. PLoS computational biology 16 (2), e1007544, 2020. 81 ...
The implications of categorical and category-free mixed selectivity ...
neuron has linear or nonlinear mixed selectivity depends on the ... Nonlinear mixed · selectivity supports reliable neural computation.
W. Jeffrey Johnston - Google Scholar
Nonlinear mixed selectivity supports reliable neural computation. WJ Johnston, SE Palmer, DJ Freedman. PLOS Computational Biology 16 (2), e1007544, 2020. 82 ...
Nonlinear mixed selectivity supports reliable neural computation. ... Visual Categorization: How the Monkey Brain Does It. Biologically ...
Publications - Freedman Laboratory at The University of Chicago
Johnston W.J., Palmer S.E. and Freedman D.J.. Nonlinear mixed selectivity supports reliable neural computation · PLoS Computational Biology, 16: e1007544.
Center for Theoretical Neuroscience, Columbia University, February 13, 2020. Nonlinear mixed selectivity supports reliable neural computation. UChicago ...
This form of mixed selectivity plays an important computational role which is related to the dimensionality of the neural representations: high-dimensional.
Discriminating neural ensemble patterns through dendritic ... - eLife
Further, neurons with nonlinear mixed selectivity can increase the dimensionality of neural representations, and contribute to pattern ...
What Causes Polysemanticity?An Alternative Origin Story of Mixed ...
The shallow nonlinear autoencoder's output is computed as y := ReLU WWTx ... Nonlin- ear mixed selectivity supports reliable neural computation. PLoS ...
What is the most important ability in computational neuroscience?
Math is clearly less important than coding in my opinion - at least until you have already achieved a good level of coding. In fact, I believe ...
Towards the neural population doctrine
argue that increasing the dimensionality of data (by, for example, recording more neurons) only helps decoding if neurons display 'nonlinear' mixed selectivity, ...
Stephanie E. Palmer - Google Scholar
Nonlinear mixed selectivity supports reliable neural computation. WJ Johnston, SE Palmer, DJ Freedman. PLoS computational biology 16 (2), e1007544, 2020. 82 ...
First spikes in visual cortex enable perceptual discrimination - OUCI
Publications that cite this publication. Nonlinear mixed selectivity supports reliable neural computation. W. Jeffrey Johnston, Stephanie E. Palmer, David J ...