[HTML][HTML] An opponent striatal circuit for distributional reinforcement learning

AS Lowet, Q Zheng, M Meng, S Matias, J Drugowitsch… - bioRxiv, 2024 - ncbi.nlm.nih.gov
Abstract Machine learning research has achieved large performance gains on a wide range
of tasks by expanding the learning target from mean rewards to entire probability …

Enhancing learning in spiking neural networks through neuronal heterogeneity and neuromodulatory signaling

A Rodriguez-Garcia, J Mei, S Ramaswamy - arXiv preprint arXiv …, 2024 - arxiv.org
Recent progress in artificial intelligence (AI) has been driven by insights from neuroscience,
particularly with the development of artificial neural networks (ANNs). This has significantly …

[PDF][PDF] Reinforcement learning with dopamine: a convergence of natural and artificial intelligence

P Masset, SJ Gershman - The Handbook of Dopamine. Elsevier, 2024 - gershmanlab.com
Reinforcement learning is the problem of predicting and maximizing long-term reward.
Computer scientists recognized that this problem could be solved by updating predictions …

Absolute measurement of fast and slow neuronal signals with fluorescence lifetime photometry at high temporal resolution

B Lodder, T Kamath, E Savenco, B Roring, M Siegel… - bioRxiv, 2025 - biorxiv.org
The concentrations of extracellular and intracellular signaling molecules, such as dopamine
and cAMP, change over both fast and slow timescales and impact downstream pathways in …

Striatal Gradient in Value-Decay Explains Regional Differences in Dopamine Patterns and Reinforcement Learning Computations

A Kato, K Morita - bioRxiv, 2025 - biorxiv.org
Dopamine has been suggested to encode reward-prediction-error (RPE) in reinforcement
learning (RL) theory, but also shown to exhibit heterogeneous patterns depending on …

Sex Differences in Chronic Cocaine Induced Reinforcement Learning Deficits.

N Eustachon - 2024 - escholarship.mcgill.ca
Justification et Objectifs: La consommation chronique de cocaïne est associée à des
déficiences dans l'apprentissage par renforcement, avec une diminution spécifique de la …