Nonlinear mixed selectivity supports reliable neural computation

Questioning the role of sparse coding in the brain | Semantic Scholar

Nonlinear mixed selectivity supports reliable neural computation · ID W.JeffreyJohnstonID StephanieE.PalmerDavid J. Freedman. Computer Science. bioRxiv. 2019.

Multi-level selective potentiality maximization for interpreting multi ...

Johnston WJ, Palmer SE, and Freedman DJ Nonlinear mixed selectivity supports reliable neural computation PLoS Comput Biol 2020 16 2 e1007544.

AI of Brain and Cognitive Sciences: From the Perspective of First ...

Nonlinear mixed selectivity supports reliable neural computation. PLoS computational biology 2020; 16(2): e1007544. [5] Barak O, Rigotti M and Fusi S. The ...

Journal Club Systems Neuroscience - BARCCSYN

The topics are broad and include computational, cognitive and systems neuroscience. ... Nonlinear mixed selectivity supports reliable neural computation ...

Neural Quadratic Discriminant Analysis: Nonlinear Decoding with ...

neural computation in V1 (see Figure 7). In their simplest form, the ... The importance of mixed selectivity in complex cognitive tasks. Nature, 497 ...

Mixed selectivity morphs population codes in prefrontal cortex

in place, avoiding any tension to ensure good healing of the wound. ... To identify a nonlinear target–distractor mixed selective neuron, we computed the firing ...

https://www.frontiersin.org/journals/integrative-neuroscience/articles ...

Another advantage of mixed selectivity is the reliability of the neural ... Nonlinear mixed selectivity supports reliable neural computation

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Nonlinear mixed selectivity supports reliable neural computation 2是【Nature's call系列】 Nature Neuroscience的第12集视频，该合集共计15集， ...

Selectivity and robustness of sparse coding networks | JOV

Nonlinear and extra-classical receptive field properties and the statistics of natural scenes. Network: Computation in Neural Systems, 12(3), 331–350.

CAREER: Understanding Vision and Natural Motion Statistics ...

and Fusi, Stefano "Nonlinear mixed selectivity supports reliable neural computation" PLOS Computational Biology , v.16 , 2020 10.1371 ...

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... selectivity, a nonlinearity ... Nonlinear mixed selectivity supports reliable neural computation. PLOS computational biology 16:e1007544.

Nonlinear computations in spiking neural networks through ...

connectivity can be loosened if each neuron is selective. ::: ... can display mixed selectivity while also only coding for a small subset of the ...

Evidence accumulation for value computation in the prefrontal cortex ...

pattern of mixed selectivity that supported the computation ... (A) An example DLPFC neuron showing nonlinear mixed selectivity to the spatial ...

Nonlinear computations in spiking neural networks through ...

This results in networks requiring a mix of synapse types (fast, slow, and multiplicative), which we term multiplicative spike coding networks ( ...

Stephanie E. Palmer - DBLP

Towards understanding neural collapse in supervised contrastive ... Nonlinear mixed selectivity supports reliable neural computation.

Brain-inspired methods for achieving robust computation in ...

how they can support the construction of reliable artificial neural processing systems, using neuromorphic ... computational primitives such as selective ...

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Nonlinear mixed selectivity supports reliable neural computation. January 01, 2020. [ MEDLINE Abstract ]. The role of adaptation in generating monotonic rate ...

Mixed Selectivity in Macaque Medial Parietal Cortex during Eye ...

Neurons with mixed selectivity compute the information in a mixed way with a ... Nonlinear mixed selectivity supports · reliable neural ...

Independent Neural Computation of Value from Other People's ...

level analysis, using mixed effects in FSL. All group-level Z ... orly, regions of vmPFC respond with increasing selectivity for value ...

How the brain is flexible enough for a complex world (without being ...

Many neurons exhibit 'mixed selectivity,' meaning they can integrate multiple inputs and participate in multiple computations.