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Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations

OpenBU (Boston University)(2022)10.36227/techrxiv.20377593Source: DataRank Database

Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations is a research paper published in OpenBU (Boston University) (2022). On theSindex it has a DataRank of 0.

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Authors (3)

Shantanu P. Jadhav ORCID,Uri T. Eden ORCID,Mehrad Sarmashghi ORCID

Live enrichment

PubMed:23304386

National Institutes of Health

Grant: 5R01MH105174-04

Real-time analysis of memories and decisions

goldLicense: cc-by

https://www.techrxiv.org/articles/preprint/Integrating_Statistical_and_Machine_Learning_Approaches_to_Identify_Receptive_Field_Structure_in_Neural_Populations/20377593/1/files/36423045.pdf

publisherhttps://ndownloader.figshare.com/files/36423045

https://doi.org/10.36227/techrxiv.20377593

https://doi.org/10.36227/techrxiv.20377593.v1

https://dx.doi.org/10.48550/arxiv.2208.12025

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

FOS: Computer and information sciencesComputer Science - Machine LearningQuantitative Biology - Neurons and CognitionFOS: Biological sciencesNeurons and Cognition (q-bio.NC)Machine Learning (cs.LG)