- Neural correlates of sparse coding and dimensionality reduction🔍
- Sparse coding and dimensionality reduction in cortex🔍
- Dimensionality reduction beyond neural subspaces with slice tensor ...🔍
- Cortical Motion Perception Emerges from Dimensionality Reduction ...🔍
- [PDF] Compressed sensing🔍
- UNIVERSITY OF CALIFORNIA🔍
- Adaptive neural coding🔍
- Hierarchical Sparse Coding of Objects in Deep Convolutional ...🔍
Neural correlates of sparse coding and dimensionality reduction
Neural correlates of sparse coding and dimensionality reduction
A sparse code is a trade-off between a local code (in which a context is represented by the activity of a single neuron, and different contexts ...
Neural correlates of sparse coding and dimensionality reduction
We review compelling evidence that a range of neuronal responses can be understood as an emergent property of nonnegative sparse coding (NSC).
Neural correlates of sparse coding and dimensionality reduction
Supported by recent computational studies, there is increasing evidence that a wide range of neuronal responses can be understood as an emergent property of ...
Neural correlates of sparse coding and dimensionality reduction
We review evidence that NSC might be employed by sensory areas to efficiently encode external stimulus spaces, by some associative areas.
(PDF) Neural correlates of sparse coding and dimensionality reduction
A sparse code is a trade-off between a local code (in which a context is represented by the activity of a single neuron, and different contexts ...
Neural correlates of sparse coding and dimensionality reduction
A sparse code is a trade-off between a local code (in which a context is represented by the activity of a single neuron, and different contexts are represented ...
Sparse coding and dimensionality reduction in cortex - bioRxiv
In this article, we provide an overview of NSC, summarize evidence for its role in neural computation in disparate regions of the brain, ranging ...
Neural correlates of sparse coding and dimensionality reduction
Overview of attention for article published in PLoS Computational Biology, June 2019. Altmetric Badge. Mentioned by. twitter: 22 X users.
GitHub - mbeyeler/2019-nonnegative-sparse-coding: M Beyeler*, EL ...
M Beyeler*, EL Rounds*, KD Carlson, N Dutt, JL Krichmar (2019). Neural correlates of sparse coding and dimensionality reduction.
Dimensionality reduction beyond neural subspaces with slice tensor ...
Indeed, the neural encoding weights in the PMd (but not M1; Extended Data Fig. 4c,d) were correlated across similar conditions and encoded both ...
Cortical Motion Perception Emerges from Dimensionality Reduction ...
(2019) Neural correlates of sparse coding and dimensionality reduction. Plos Comput Biol 15:e1006908. doi:10.1371/journal.pcbi.1006908.
[PDF] Compressed sensing, sparsity, and dimensionality in neuronal ...
Neural correlates of sparse coding and dimensionality reduction ... PLoS Comput. Biol. 2019. TLDR. Evidence that NSC might ...
UNIVERSITY OF CALIFORNIA, IRVINE Sparse Coding ...
Nonnegative sparse coding and dimensionality reduction in cortex. • Rounds, E.L. ... Dimensionality reduction in neural models: An information-theoretic.
Adaptive neural coding: from biological to behavioral decision-making
... representation of value in the brain. Neural correlates of sparse coding and dimensionality reduction. 2019, PLoS Computational Biology. Show abstract.
Hierarchical Sparse Coding of Objects in Deep Convolutional ...
... coding), or by a subset of neuronal population (sparse coding). Here ... Neural correlates of sparse coding and dimensionality reduction. PLoS Comput ...
CARL on X: "Two new papers on how the brain efficiently represents ...
... Neural correlates of sparse coding and dimensionality reduction”. @FrontNeurosci. "Making BREAD: Biomimetic Strategies for Artificial ...
Figure 1 from Questioning the role of sparse coding in the brain
Neural correlates of sparse coding and dimensionality reduction ... PLoS Comput. Biol. 2019. TLDR. Evidence that NSC might ...
Strong and weak principles of neural dimension reduction - YouTube
Large-scale, single neuron resolution recordings are inherently high-dimensional, with as many dimensions as neurons. To make sense of them, ...
Common population codes produce extremely nonlinear neural ...
Sparse coding thus generically implies high linear dimension. In practice ... Byron, Dimensionality reduction for large-scale neural recordings. Nat ...
Sequential and efficient neural-population coding of complex task ...
... dimensionality reduction methods to describe neural manifold structure. These methods have the advantage of being able to approximate the ...