Add to ORKGClassical conditioning demonstrates that rewards can be used to train behavior by pairing a stimulus, known as a prompt, with reinforced behavior. At a neuronal level, this association strengthens the connections between the neurons involved, making communication easier the next time. Enhanced communication is identified with learning, allowing an organism to anticipate a reward with a prompt so that it can perform the desired behavior to successfully obtain the reward (Noonan et al., 2011). In this study, we created a computational model to represent a neural circuit with synaptic plasticity during reward, no-reward and anticipation states. Our results confirmed our hypothesis that the model would be able to differentiate between reward an...
Incentive delay tasks implicate the striatum and medial frontal cortex in reward processing. However...
Reinforcement learning occurs when organisms adapt the propensities of given behaviours on the basis...
Single neurons in the primate orbitofrontal cortex respond when an expected reward is not obtained, ...
International audienceThe neurocomputational model described here proposes that two dimensions invol...
In the course of trial-and-error learning, the results of actions, manifested as rewards or punishme...
Reinforcement learning in humans and other animals is driven by reward prediction errors: deviations...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, Febru...
In reinforcement learning (RL), an agent makes sequential decisions to maximise the reward it can ob...
Learning from positive and negative consequences of self-generated behavior is fundamental for secur...
The ability to form and maintain associations between environmental cues, actions, and rewarding sti...
2015 - 2016The following thesis deals with computational models of nervous system employed in motor ...
Dopamine (DA) neurons in the ventral tegmental area (VTA) are thought to encode reward prediction er...
This dissertation focuses on the biological structures that allow animals to exhibit classical condi...
Animals repeat rewarded behaviors, but the physiological basis of reward-based learning has only bee...
Dopaminergic reward prediction error neurons in the midbrain are the most prominent type of neurons ...
Incentive delay tasks implicate the striatum and medial frontal cortex in reward processing. However...
Reinforcement learning occurs when organisms adapt the propensities of given behaviours on the basis...
Single neurons in the primate orbitofrontal cortex respond when an expected reward is not obtained, ...
International audienceThe neurocomputational model described here proposes that two dimensions invol...
In the course of trial-and-error learning, the results of actions, manifested as rewards or punishme...
Reinforcement learning in humans and other animals is driven by reward prediction errors: deviations...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, Febru...
In reinforcement learning (RL), an agent makes sequential decisions to maximise the reward it can ob...
Learning from positive and negative consequences of self-generated behavior is fundamental for secur...
The ability to form and maintain associations between environmental cues, actions, and rewarding sti...
2015 - 2016The following thesis deals with computational models of nervous system employed in motor ...
Dopamine (DA) neurons in the ventral tegmental area (VTA) are thought to encode reward prediction er...
This dissertation focuses on the biological structures that allow animals to exhibit classical condi...
Animals repeat rewarded behaviors, but the physiological basis of reward-based learning has only bee...
Dopaminergic reward prediction error neurons in the midbrain are the most prominent type of neurons ...
Incentive delay tasks implicate the striatum and medial frontal cortex in reward processing. However...
Reinforcement learning occurs when organisms adapt the propensities of given behaviours on the basis...
Single neurons in the primate orbitofrontal cortex respond when an expected reward is not obtained, ...