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Massachusetts Institute of Technology

The Flexible Mind of a Worm: the atlas of brain-wide representations of behavior in C. elegans

Abstract

dc:description.abstract

The primary function of the brain is to generate behaviors and motor outputs. However, how neurons across the brain encode quantitative features of an animal’s behavior remains largely unknown. In this work, we built a new system to record and extract brain-wide activity in freely-behaving C. elegans. We built non-linear probabilistic models to explain how individual neurons encode distinct behavioral features. Utilizing neuronal identity information of the recorded neurons, we created the first-ever atlas describing how each defined neuron class in an animal’s brain encodes its behavior. Furthermore, we examined how these encodings change over varying behavioral states and identified key nodes in the connectome that could flexibly change encoding. Overall, this work provides a new view of how neurons across the brain of an animal encode its behavior.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kim, Jungsoo
Advisor dc:contributor.advisor
  • Flavell, Stephen W.

Rights

dc:rights
Statement dc:rights
  • Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/152558
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/152558

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Kim, Jungsoo. The Flexible Mind of a Worm: the atlas of brain-wide representations of behavior in C. elegans. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/152558