Exploring value learning in pigeons: the role of dual pathways in the basal ganglia and synaptic plasticity

Understanding value learning in animals is a key focus in cognitive neuroscience. Current models used in research are often simple, and while more complex models have been proposed, it remains unclear which assumptions align with actual value-learning strategies of animals. This study investigated the computational mechanisms behind value learning in pigeons using a free-choice task. Three models were constructed based on different assumptions about the role of the basal ganglia's dual pathways and synaptic plasticity in value computation, followed by model comparison and neural correlation analysis. Among the three models tested, the dual-pathway reinforcement learning model with Hebbian rules most closely matched the pigeons' behavior. Furthermore, the striatal gamma band connectivity showed the highest correlation with the values estimated by this model. Additionally, enhanced beta band connectivity in the nidopallium caudolaterale supported value learning. This study provides valuable insights into reinforcement learning mechanisms in non-human animals.

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Publication Details

Journal
Journal of Experimental Biology
Published
2025-04-17
DOI
https://doi.org/10.1242/jeb.249507
Citations
1
Primary Topic
Animal Nutrition and Physiology
Type
article
Field-Weighted Citation Impact
1.19

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article

Exploring value learning in pigeons: the role of dual pathways in the basal ganglia and synaptic plasticity

Fuli Jin, Lifang Yang, Mengmeng Li, Long Yang et al.
1 citations
Journal of Experimental Biology
Animal Nutrition and Physiology
1.19
article

Exploring value learning in pigeons: the role of dual pathways in the basal ganglia and synaptic plasticity

Fuli Jin, Lifang Yang, Mengmeng Li, Long Yang, Zhigang Shang
article en
1 citations

Abstract

Understanding value learning in animals is a key focus in cognitive neuroscience. Current models used in research are often simple, and while more complex models have been proposed, it remains unclear which assumptions align with actual value-learning strategies of animals. This study investigated the computational mechanisms behind value learning in pigeons using a free-choice task. Three models were constructed based on different assumptions about the role of the basal ganglia's dual pathways and synaptic plasticity in value computation, followed by model comparison and neural correlation analysis. Among the three models tested, the dual-pathway reinforcement learning model with Hebbian rules most closely matched the pigeons' behavior. Furthermore, the striatal gamma band connectivity showed the highest correlation with the values estimated by this model. Additionally, enhanced beta band connectivity in the nidopallium caudolaterale supported value learning. This study provides valuable insights into reinforcement learning mechanisms in non-human animals.

Journal of Experimental BiologyVol. 228(9)
Allen Institute for Brain Science (US), PLA Information Engineering University (CN), Zhengzhou University (CN), Guangxi Zhuang Autonomous Region Brain Hospital (CN)
National Natural Science Foundation of China
Quality Education
Openalex Percentile: Top 26%
Animal Nutrition and Physiology
1.19
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