Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Detailed mapping of behavior reveals the formation of prelimbic neural ensembles across operant learning.

Yan Zhang | Alexander J Denman | Bo Liang | Craig T Werner | Nicholas J Beacher | Rong Chen | Yun Li | Yavin Shaham | Giovanni Barbera | Da-Ting Lin
Neuron | 2022

The prelimbic cortex (PrL) is involved in the organization of operant behaviors, but the relationship between longitudinal PrL neural activity and operant learning and performance is unknown. Here, we developed deep behavior mapping (DBM) to identify behavioral microstates in video recordings. We combined DBM with longitudinal calcium imaging to quantify behavioral tuning in PrL neurons as mice learned an operant task. We found that a subset of PrL neurons were strongly tuned to highly specific behavioral microstates, both task and non-task related. Overlapping neural ensembles were tiled across consecutive microstates in the response-reinforcer sequence, forming a continuous map. As mice learned the operant task, weakly tuned neurons were recruited into new ensembles, with a bias toward behaviors similar to their initial tuning. In summary, our data suggest that the PrL contains neural ensembles that jointly encode a map of behavioral states that is fine grained, is continuous, and grows during operant learning.

Pubmed ID: 34921779

Research resources used in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: P20 GM121310
  • Agency: NINDS NIH HHS, United States
    Id: R61 NS115161
  • Agency: NINDS NIH HHS, United States
    Id: UG3 NS115608
  • Agency: Intramural NIH HHS, United States
    Id: ZIA DA000603

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


GraphPad Prism (tool)

RRID:SCR_002798

Statistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.

View all literature mentions

Intramural Research Program (tool)

RRID:SCR_012734

A research program of the NIA which focuses on neuroscience, aging biology, and translational gerontology. The central focus of the program's research is understanding age-related changes in physiology and the ability to adapt to environmental stress, and using that understanding to develop insight about the pathophysiology of age-related diseases. The IRP webpage provides access to other NIH resources such as the Biological Biochemical Image Database, the Bioinformatics Portal, and the Baltimore Longitudinal Study of Aging.

View all literature mentions

Calcium Imaging data Analysis (tool)

RRID:SCR_021533

Open source software tool for scalable calcium imaging data analysis. Used for large scale calcium imaging analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

View all literature mentions

C57BL/6J (tool)

RRID:IMSR_JAX:000664

Mus musculus with name C57BL/6J from IMSR.

View all literature mentions

DeepLabCut Project (portal)

RRID:SCR_021398

Project for markerless pose estimation of user defined body parts with deep learning.

View all literature mentions