Integrating Statistical and Machine Learning Approaches for Neural Classification

Journal article

Open access

Peer reviewed

Integrating Statistical and Machine Learning Approaches for Neural Classification

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

IEEE access, Vol.10, pp.119106-119118

2022

DOI: https://doi.org/10.1109/ACCESS.2022.3221436

PMID: 37223667

Abstract

Deep learning

large-scale neural data

neural coding

receptive field

statistical models

Machine Learning

Files and links (1)

url

https://doi.org/10.1109/ACCESS.2022.3221436View

Published (Version of record) Open

Metrics

1 Record Views

Details

Title: Integrating Statistical and Machine Learning Approaches for Neural Classification
Creators: Mehrad Sarmashghi - Boston University, Division of Systems Engineering, Boston, MA, United States
Shantanu P. Jadhav - Brandeis University, Department of Psychology
Uri T. Eden - Boston University
Publication Details: IEEE access, Vol.10, pp.119106-119118
Number of pages: 13
Grant note: National Institutes of Health (http://data.elsevier.com/vocabulary/SciValFunders/100000002) 542971 / Simons Foundation (100000893) R01-MH105174; RO1-MH112662 / National Institutes of Health (http://data.elsevier.com/vocabulary/SciValFunders/100000002) Simons Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100000893) 542971 / Simons Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100000893)
Identifiers: 9924594038101921
Academic Unit: Neuroscience Program; Department of Psychology; Benjamin and Mae Volen National Center for Complex Systems
Language: English
Resource Type: Journal article