Questioning the role of sparse coding in the brain

Questioning the role of sparse coding in the brain - ScienceDirect

Sparse coding is questioned on both theoretical and experimental grounds. Generalization is important to current brain models but is weak under sparse coding.

Questioning the role of sparse coding in the brain - PubMed

Coding principles are central to understanding the organization of brain circuitry. Sparse coding offers several advantages, but a near-consensus has ...

Questioning the role of sparse coding in the brain - Cell Press

Coding principles are central to understanding the organization of brain circuitry. Sparse coding offers several advantages, but a near-consensus has ...

Questioning the role of sparse coding in the brain - ClinicalKey

Highlights • Sparse coding is questioned on both theoretical and experimental grounds. ... Generalization is important to current brain models but is weak under ...

Questioning the role of sparse coding in the brain. - Abstract

Abstract. Coding principles are central to understanding the organization of brain circuitry. Sparse coding offers several advantages, but a near-consensus has ...

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

The Sparseness of Mixed Selectivity Neurons Controls the Generalization–Discrimination Trade-Off · Computer Science. The Journal of Neuroscience · 2013.

Questioning the role of sparse coding in the brain. — Lund University

Coding principles are central to understanding the organization of brain circuitry. Sparse coding offers several advantages, but a near-consensus has ...

Questioning the role of sparse coding in the brain - ResearchGate

One reason for this is the principle known as Sparse Distributed Representation (SDR) or the Sparse Coding Hypothesis (SCH), which describes a way of ...

Questioning the role of sparse coding in the brain - Ex Libris

Related reading · Silent synapses and the emergence of a postsynaptic mechanism for LTP. · Sparse coding of sensory inputs · Cortical oscillations arise from ...

Questioning the role of sparse coding in the brain - OUCI

Brunel, Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell, Neuron, № 43, с. · Földiák, Sparse coding in the ...

Questioning the role of sparse coding in the brain. - Research output

Questioning the role of sparse coding in the brain. Anton Spanne, Henrik Jörntell · Neural Basis of Sensorimotor Control. Research output: Contribution to ...

3.14 Sparse Coding in the Neocortex

coding in neural systems across a variety of species. We look briefly at the question of what is meant by sparse coding and then ask why sensory systems.

Neural correlates of sparse coding and dimensionality reduction

Although NSC might not apply to all brain areas (for example, motor or executive function areas) the success of NSC-based models, especially in sensory areas, ...

Neural correlates of sparse coding and dimensionality reduction

Although NSC might not apply to all brain areas (for example, motor or executive function areas) the success of NSC-based models, especially in ...

What is the principle of sparse coding? Explain its relation to other ...

The central hypothesis of sparse coding is that a sensing system should attempt to represent a stimulus as a combination of as few putative causes as possible.

What Happens in the Brain When We Think? - Neuroscience News

Coding principles are central to understanding the organization of brain circuitry. Sparse coding offers several advantages, but a near- ...

Sparse Coding and Natural Statistics | Unlocking the Brain: Volume 1

Encoding of the stimuli's natural statistics implies that several stimuli are encoded by the neural activity of one neuron, entailing a many-to-one relationship ...

Can someone please explain what sparse coding is? : r/neuroscience

Sparse coding is one way that groups of neurons can hypothetically encode information. Sparse coding is a system in which very few neurons ...

Sparse coding: A simple exploration | by Morgan - metaflow-ai

Sparse coding is the study of algorithms which aim to learn a useful sparse representation of any given data. Each datum will then be encoded as a sparse code.

Sparse Brain Activity Patterns May Underlie Human Cognition

The breadth of these findings suggests sparse coding is a fundamental organizational principle that might manifest throughout the brain.