Synaptic plasticity forms and functions
JC Magee, C Grienberger - Annual review of neuroscience, 2020 - annualreviews.org
Synaptic plasticity, the activity-dependent change in neuronal connection strength, has long
been considered an important component of learning and memory. Computational and …
been considered an important component of learning and memory. Computational and …
A framework for mesencephalic dopamine systems based on predictive Hebbian learning
PR Montague, P Dayan, TJ Sejnowski - Journal of neuroscience, 1996 - Soc Neuroscience
We develop a theoretical framework that shows how mesencephalic dopamine systems
could distribute to their targets a signal that represents information about future expectations …
could distribute to their targets a signal that represents information about future expectations …
[HTML][HTML] Dopamine release in the nucleus accumbens core signals perceived saliency
A large body of work has aimed to define the precise information encoded by dopaminergic
projections innervating the nucleus accumbens (NAc). Prevailing models are based on …
projections innervating the nucleus accumbens (NAc). Prevailing models are based on …
A unified framework for dopamine signals across timescales
Rapid phasic activity of midbrain dopamine neurons is thought to signal reward prediction
errors (RPEs), resembling temporal difference errors used in machine learning. However …
errors (RPEs), resembling temporal difference errors used in machine learning. However …
The primacy of behavioral research for understanding the brain.
Y Niv - Behavioral Neuroscience, 2021 - psycnet.apa.org
Understanding the brain requires us to answer both what the brain does, and how it does it.
Using a series of examples, I make the case that behavior is often more useful than …
Using a series of examples, I make the case that behavior is often more useful than …
Novelty or surprise?
Novelty and surprise play significant roles in animal behavior and in attempts to understand
the neural mechanisms underlying it. They also play important roles in technology, where …
the neural mechanisms underlying it. They also play important roles in technology, where …
[图书][B] Reinforcement learning: An introduction
The significantly expanded and updated new edition of a widely used text on reinforcement
learning, one of the most active research areas in artificial intelligence. Reinforcement …
learning, one of the most active research areas in artificial intelligence. Reinforcement …
The neural basis of human error processing: reinforcement learning, dopamine, and the error-related negativity.
CB Holroyd, MGH Coles - Psychological review, 2002 - psycnet.apa.org
The authors present a unified account of 2 neural systems concerned with the development
and expression of adaptive behaviors: a mesencephalic dopamine system for reinforcement …
and expression of adaptive behaviors: a mesencephalic dopamine system for reinforcement …
[图书][B] Introduction to the theory of neural computation
JA Hertz - 2018 - taylorfrancis.com
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 1 Page 2
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 3 Page 4 …
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 3 Page 4 …
Getting formal with dopamine and reward
W Schultz - Neuron, 2002 - cell.com
Recent neurophysiological studies reveal that neurons in certain brain structures carry
specific signals about past and future rewards. Dopamine neurons display a short-latency …
specific signals about past and future rewards. Dopamine neurons display a short-latency …