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

Preprint

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

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

07/29/2022

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

Abstract

Computer Science - Machine Learning

FOS: Computer and information sciences

FOS: Biological sciences

Neurons and Cognition (q-bio.NC)

Quantitative Biology - Neurons and Cognition

Machine Learning (cs.LG)

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#4 Quality Education

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Details

Title: Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations
Creators: Uri T. Eden
Shantanu P. Jadhav
Mehrad Sarmashghi
Identifiers: 9924316485201921
Academic Unit: Interdepartmental Program in Neuroscience; Department of Psychology; Benjamin and Mae Volen National Center for Complex Systems
Language: English
Resource Type: Preprint