[HTML][HTML] Cell type specificity for circuit output in the midbrain dopaminergic system

S Blaess, S Krabbe - Current opinion in neurobiology, 2023 - Elsevier
Midbrain dopaminergic neurons are a relatively small group of neurons in the mammalian
brain controlling a wide range of behaviors. In recent years, increasingly sophisticated …

A feature-specific prediction error model explains dopaminergic heterogeneity

RS Lee, Y Sagiv, B Engelhard, IB Witten… - Nature neuroscience, 2024 - nature.com
The hypothesis that midbrain dopamine (DA) neurons broadcast a reward prediction error
(RPE) is among the great successes of computational neuroscience. However, recent …

Feasibility of dopamine as a vector-valued feedback signal in the basal ganglia

E Wärnberg, A Kumar - Proceedings of the National …, 2023 - National Acad Sciences
It is well established that midbrain dopaminergic neurons support reinforcement learning
(RL) in the basal ganglia by transmitting a reward prediction error (RPE) to the striatum. In …

Dopamine neurons encode a multidimensional probabilistic map of future reward

M Sousa, P Bujalski, BF Cruz, K Louie, D McNamee… - bioRxiv, 2023 - biorxiv.org
Learning to predict rewards is a fundamental driver of adaptive behavior. Midbrain
dopamine neurons (DANs) play a key role in such learning by signaling reward prediction …

BP (\lambda): Online Learning via Synthetic Gradients

J Pemberton, RP Costa - arXiv preprint arXiv:2401.07044, 2024 - arxiv.org
Training recurrent neural networks typically relies on backpropagation through time (BPTT).
BPTT depends on forward and backward passes to be completed, rendering the network …

Vector-valued dopamine improves learning of continuous outputs in the striatum

E Wärnberg, A Kumar - bioRxiv, 2022 - biorxiv.org
It is well established that midbrain dopaminergic neurons support reinforcement learning
(RL) in the basal ganglia by transmitting a reward prediction error (RPE) to the striatum. In …

BP(): Online Learning via Synthetic Gradients

JO Pemberton, RP Costa - Transactions on Machine Learning Research - openreview.net
Training recurrent neural networks typically relies on backpropagation through time (BPTT).
BPTT depends on forward and backward passes to be completed, rendering the network …

Comparative analyses of dopaminergic signalling in the mouse brain

F Marijatta - 2023 - ora.ox.ac.uk
Despite dopamine being one of the most extensively studied neurotransmitters in the
mammalian brain, there remains a great deal of debate as to the dynamics and function of …