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Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.11.07.622384Source: DataRank Database

Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (14)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (4)

Satyabrata Parida ORCID,Sam Norman-Haignere ORCID,Stephen V. David ORCID,Jereme C. Wingert

Live enrichment

PubMed:39574636 OpenAlex:https://openalex.org/W4404168589

NIDCD NIH HHS

Grant: R01 DC014950

NIBIB NIH HHS

Grant: R01 EB028155

NIDCD NIH HHS

Grant: R21 DC021048

greenLicense: cc-by

repositoryhttps://doi.org/10.1101/2024.11.07.622384

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.11.07.622384

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39574636

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11581007

Fields of Study

Neural dynamics and brain functionVisual perception and processing mechanismsAdvanced Memory and Neural Computing

Keywords

Convolutional neural networkNeuroscienceComputer scienceAuditory cortexEncoding (memory)Biological neural networkSubspace topologySpeech recognitionArtificial intelligencePattern recognition (psychology)Psychology

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions