Bukwich*, Campbell* et al. Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics. Neuron, 2025.

<p dir="ltr">Patch foraging is a ubiquitous decision-making process in which animals decide when to abandon a resource patch of diminishing value to pursue an alternative. We developed a virtual foraging task in which mouse behavior varied systematically with patch value. Behavior co...

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Main Author: Malcolm Campbell (21881318) (author)
Other Authors: Michael Bukwich (12464343) (author), David Zoltowski (5581004) (author), Lyle Kingsbury (21957256) (author), Momchil S. Tomov (8677314) (author), Joshua Stern (337445) (author), HyungGoo R. Kim (302643) (author), Jan Drugowitsch (8058410) (author), Scott W. Linderman (16965068) (author), Naoshige Uchida (16965071) (author)
Published: 2025
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author Malcolm Campbell (21881318)
author2 Michael Bukwich (12464343)
David Zoltowski (5581004)
Lyle Kingsbury (21957256)
Momchil S. Tomov (8677314)
Joshua Stern (337445)
HyungGoo R. Kim (302643)
Jan Drugowitsch (8058410)
Scott W. Linderman (16965068)
Naoshige Uchida (16965071)
author2_role author
author
author
author
author
author
author
author
author
author_facet Malcolm Campbell (21881318)
Michael Bukwich (12464343)
David Zoltowski (5581004)
Lyle Kingsbury (21957256)
Momchil S. Tomov (8677314)
Joshua Stern (337445)
HyungGoo R. Kim (302643)
Jan Drugowitsch (8058410)
Scott W. Linderman (16965068)
Naoshige Uchida (16965071)
author_role author
dc.creator.none.fl_str_mv Malcolm Campbell (21881318)
Michael Bukwich (12464343)
David Zoltowski (5581004)
Lyle Kingsbury (21957256)
Momchil S. Tomov (8677314)
Joshua Stern (337445)
HyungGoo R. Kim (302643)
Jan Drugowitsch (8058410)
Scott W. Linderman (16965068)
Naoshige Uchida (16965071)
dc.date.none.fl_str_mv 2025-08-06T21:44:03Z
dc.identifier.none.fl_str_mv 10.6084/m9.figshare.29802896.v1
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/Bukwich_Campbell_et_al_Competitive_integration_of_time_and_reward_explains_value-sensitive_foraging_decisions_and_frontal_cortex_ramping_dynamics_Neuron_2025_/29802896
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Behavioural ecology
Animal neurobiology
Central nervous system
Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)
Behavioural neuroscience
Decision making
foraging
patch foraging
decision making
Marginal value theorem
neural integration
Neuropixels
frontal cortex
ramping activity
virtual reality
latent state
dc.title.none.fl_str_mv Bukwich*, Campbell* et al. Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics. Neuron, 2025.
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description <p dir="ltr">Patch foraging is a ubiquitous decision-making process in which animals decide when to abandon a resource patch of diminishing value to pursue an alternative. We developed a virtual foraging task in which mouse behavior varied systematically with patch value. Behavior could be explained by models integrating time and rewards antagonistically, scaled by a slowly varying latent patience state. Describing a mechanism, rather than a normative prescription, these models quantitatively captured deviations from optimal foraging theory. Neuropixels recordings throughout frontal areas revealed distributed ramping signals, concentrated in frontal cortex, from which multiple integrator models’ decision variables could be decoded equally well. These signals reflected key aspects of decision models: they ramped gradually, responded oppositely to time and rewards, were sensitive to patch richness, and retained memory of reward history. Together, these results identify integration via frontal cortex ramping dynamics as a candidate mechanism for solving patch-foraging problems.</p>
eu_rights_str_mv openAccess
id Manara_5c8bbb35e58e603d802cf2011d04478e
identifier_str_mv 10.6084/m9.figshare.29802896.v1
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/29802896
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Bukwich*, Campbell* et al. Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics. Neuron, 2025.Malcolm Campbell (21881318)Michael Bukwich (12464343)David Zoltowski (5581004)Lyle Kingsbury (21957256)Momchil S. Tomov (8677314)Joshua Stern (337445)HyungGoo R. Kim (302643)Jan Drugowitsch (8058410)Scott W. Linderman (16965068)Naoshige Uchida (16965071)Behavioural ecologyAnimal neurobiologyCentral nervous systemComputational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)Behavioural neuroscienceDecision makingforagingpatch foragingdecision makingMarginal value theoremneural integrationNeuropixelsfrontal cortexramping activityvirtual realitylatent state<p dir="ltr">Patch foraging is a ubiquitous decision-making process in which animals decide when to abandon a resource patch of diminishing value to pursue an alternative. We developed a virtual foraging task in which mouse behavior varied systematically with patch value. Behavior could be explained by models integrating time and rewards antagonistically, scaled by a slowly varying latent patience state. Describing a mechanism, rather than a normative prescription, these models quantitatively captured deviations from optimal foraging theory. Neuropixels recordings throughout frontal areas revealed distributed ramping signals, concentrated in frontal cortex, from which multiple integrator models’ decision variables could be decoded equally well. These signals reflected key aspects of decision models: they ramped gradually, responded oppositely to time and rewards, were sensitive to patch richness, and retained memory of reward history. Together, these results identify integration via frontal cortex ramping dynamics as a candidate mechanism for solving patch-foraging problems.</p>2025-08-06T21:44:03ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.6084/m9.figshare.29802896.v1https://figshare.com/articles/dataset/Bukwich_Campbell_et_al_Competitive_integration_of_time_and_reward_explains_value-sensitive_foraging_decisions_and_frontal_cortex_ramping_dynamics_Neuron_2025_/29802896CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/298028962025-08-06T21:44:03Z
spellingShingle Bukwich*, Campbell* et al. Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics. Neuron, 2025.
Malcolm Campbell (21881318)
Behavioural ecology
Animal neurobiology
Central nervous system
Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)
Behavioural neuroscience
Decision making
foraging
patch foraging
decision making
Marginal value theorem
neural integration
Neuropixels
frontal cortex
ramping activity
virtual reality
latent state
status_str publishedVersion
title Bukwich*, Campbell* et al. Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics. Neuron, 2025.
title_full Bukwich*, Campbell* et al. Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics. Neuron, 2025.
title_fullStr Bukwich*, Campbell* et al. Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics. Neuron, 2025.
title_full_unstemmed Bukwich*, Campbell* et al. Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics. Neuron, 2025.
title_short Bukwich*, Campbell* et al. Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics. Neuron, 2025.
title_sort Bukwich*, Campbell* et al. Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics. Neuron, 2025.
topic Behavioural ecology
Animal neurobiology
Central nervous system
Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)
Behavioural neuroscience
Decision making
foraging
patch foraging
decision making
Marginal value theorem
neural integration
Neuropixels
frontal cortex
ramping activity
virtual reality
latent state