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Multiple Temporal and Object-Based Strategies Across Learning for a Selective Detection Task in Mice

Goal-directed behavior paradigms inevitably involve temporal processes, such as anticipation, expectation, timing, waiting, and withholding. And yet, amongst the vast use of object-based task paradigms, characterizations of temporal features are often neglected. Here, we longitudinally analyzed mice...

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Autores principales: Marrero, Krista, Aruljothi, Krithiga, Zareian, Behzad, Zhang, Zhaoran, Zagha, Edward
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948952/
https://www.ncbi.nlm.nih.gov/pubmed/36824924
http://dx.doi.org/10.1101/2023.02.13.528412
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author Marrero, Krista
Aruljothi, Krithiga
Zareian, Behzad
Zhang, Zhaoran
Zagha, Edward
author_facet Marrero, Krista
Aruljothi, Krithiga
Zareian, Behzad
Zhang, Zhaoran
Zagha, Edward
author_sort Marrero, Krista
collection PubMed
description Goal-directed behavior paradigms inevitably involve temporal processes, such as anticipation, expectation, timing, waiting, and withholding. And yet, amongst the vast use of object-based task paradigms, characterizations of temporal features are often neglected. Here, we longitudinally analyzed mice from naïve to expert performance in a somatosensory selective detection task. In addition to tracking standard measures from signal detection theory, we also characterized learning of temporal features. We find that mice transition from general sampling strategies to stimulus detection and stimulus discrimination. During these transitions, mice learn to wait as they anticipate an expected stimulus presentation and to time their response after a stimulus presentation. By establishing and implementing standardized measures, we show that the development of waiting and timing in the task overlaps with learning of stimulus detection and discrimination. We also investigated sex differences in temporal and object-based trajectories of learning, finding that males learn strategies idiosyncratically and that females learn strategies more sequentially and stereotypically. Overall, our findings emphasize multiple temporal strategies in learning for an object-based task and highlight the importance of considering diverse temporal and object-based features when characterizing behavioral and neuronal aspects of learning.
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spelling pubmed-99489522023-02-24 Multiple Temporal and Object-Based Strategies Across Learning for a Selective Detection Task in Mice Marrero, Krista Aruljothi, Krithiga Zareian, Behzad Zhang, Zhaoran Zagha, Edward bioRxiv Article Goal-directed behavior paradigms inevitably involve temporal processes, such as anticipation, expectation, timing, waiting, and withholding. And yet, amongst the vast use of object-based task paradigms, characterizations of temporal features are often neglected. Here, we longitudinally analyzed mice from naïve to expert performance in a somatosensory selective detection task. In addition to tracking standard measures from signal detection theory, we also characterized learning of temporal features. We find that mice transition from general sampling strategies to stimulus detection and stimulus discrimination. During these transitions, mice learn to wait as they anticipate an expected stimulus presentation and to time their response after a stimulus presentation. By establishing and implementing standardized measures, we show that the development of waiting and timing in the task overlaps with learning of stimulus detection and discrimination. We also investigated sex differences in temporal and object-based trajectories of learning, finding that males learn strategies idiosyncratically and that females learn strategies more sequentially and stereotypically. Overall, our findings emphasize multiple temporal strategies in learning for an object-based task and highlight the importance of considering diverse temporal and object-based features when characterizing behavioral and neuronal aspects of learning. Cold Spring Harbor Laboratory 2023-02-14 /pmc/articles/PMC9948952/ /pubmed/36824924 http://dx.doi.org/10.1101/2023.02.13.528412 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Marrero, Krista
Aruljothi, Krithiga
Zareian, Behzad
Zhang, Zhaoran
Zagha, Edward
Multiple Temporal and Object-Based Strategies Across Learning for a Selective Detection Task in Mice
title Multiple Temporal and Object-Based Strategies Across Learning for a Selective Detection Task in Mice
title_full Multiple Temporal and Object-Based Strategies Across Learning for a Selective Detection Task in Mice
title_fullStr Multiple Temporal and Object-Based Strategies Across Learning for a Selective Detection Task in Mice
title_full_unstemmed Multiple Temporal and Object-Based Strategies Across Learning for a Selective Detection Task in Mice
title_short Multiple Temporal and Object-Based Strategies Across Learning for a Selective Detection Task in Mice
title_sort multiple temporal and object-based strategies across learning for a selective detection task in mice
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948952/
https://www.ncbi.nlm.nih.gov/pubmed/36824924
http://dx.doi.org/10.1101/2023.02.13.528412
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