We describe and discuss a neural network model of the dopaminergic system based on observed anatomical and physiological properties of the primate midbrain.

We describe and discuss a neural network model of the dopaminergic system based on observed anatomical and physiological properties of the primate midbrain.

A neural network model of the dopaminergic system based on observed anatomical and physiological properties of the primate midbrain is described and ...

Oct 22, 2024 · The model relies on value-dependent synaptic modification to acquire temporal information regarding reward-related events and the stimuli with ...

Jul 1, 2002 · We describe and discuss a neural network model of the dopaminergic system based on observed anatomical and physiological properties of the primate midbrain.

Oct 3, 2019 · We demonstrate this framework to evaluate Synaptic Plasticity with Online REinforcement learning (SPORE), a reward-learning rule based on ...

In this study we aimed to test the plasticity of the MNS by directly investigating the link between (alpha/beta) mu suppression and reward.

An Embodied Model of Learning, Plasticity, and Reward · W. AlexanderO. Sporns. Biology. Adapt. Behav. 2002. TLDR. A neural network model of the dopaminergic ...

Sep 11, 2024 · Our results suggest that a key mechanism underlying the beneficial effect of reward on motor skill learning may be an increase in the stability ...

Oct 3, 2019 · We demonstrate this framework to evaluate Synaptic Plasticity with Online REinforcement learning (SPORE), a reward-learning rule based on ...