Resolving the neural circuits of anxiety
GG Calhoon, KM Tye - Nature neuroscience, 2015 - nature.com
Although anxiety disorders represent a major societal problem demanding new therapeutic
targets, these efforts have languished in the absence of a mechanistic understanding of this …
targets, these efforts have languished in the absence of a mechanistic understanding of this …
Neural circuitry of reward prediction error
M Watabe-Uchida, N Eshel… - Annual review of …, 2017 - annualreviews.org
Dopamine neurons facilitate learning by calculating reward prediction error, or the difference
between expected and actual reward. Despite two decades of research, it remains unclear …
between expected and actual reward. Despite two decades of research, it remains unclear …
The basal ganglia control the detailed kinematics of learned motor skills
The basal ganglia are known to influence action selection and modulation of movement
vigor, but whether and how they contribute to specifying the kinematics of learned motor …
vigor, but whether and how they contribute to specifying the kinematics of learned motor …
The building blocks of a brain-inspired computer
JD Kendall, S Kumar - Applied Physics Reviews, 2020 - pubs.aip.org
Computers have undergone tremendous improvements in performance over the last 60
years, but those improvements have significantly slowed down over the last decade, owing …
years, but those improvements have significantly slowed down over the last decade, owing …
Whole-brain mapping of direct inputs to midbrain dopamine neurons
M Watabe-Uchida, L Zhu, SK Ogawa, A Vamanrao… - Neuron, 2012 - cell.com
Recent studies indicate that dopamine neurons in the ventral tegmental area (VTA) and
substantia nigra pars compacta (SNc) convey distinct signals. To explore this difference, we …
substantia nigra pars compacta (SNc) convey distinct signals. To explore this difference, we …
Neuromodulated spike-timing-dependent plasticity, and theory of three-factor learning rules
N Frémaux, W Gerstner - Frontiers in neural circuits, 2016 - frontiersin.org
Classical Hebbian learning puts the emphasis on joint pre-and postsynaptic activity, but
neglects the potential role of neuromodulators. Since neuromodulators convey information …
neglects the potential role of neuromodulators. Since neuromodulators convey information …
The Drosophila Mushroom Body: From Architecture to Algorithm in a Learning Circuit
The Drosophila brain contains a relatively simple circuit for forming Pavlovian associations,
yet it achieves many operations common across memory systems. Recent advances have …
yet it achieves many operations common across memory systems. Recent advances have …
Human and rodent homologies in action control: corticostriatal determinants of goal-directed and habitual action
BW Balleine, JP O'doherty - Neuropsychopharmacology, 2010 - nature.com
Recent behavioral studies in both humans and rodents have found evidence that
performance in decision-making tasks depends on two different learning processes; one …
performance in decision-making tasks depends on two different learning processes; one …
[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 …
Dopamine does double duty in motivating cognitive effort
A Westbrook, TS Braver - Neuron, 2016 - cell.com
Cognitive control is subjectively costly, suggesting that engagement is modulated in
relationship to incentive state. Dopamine appears to play key roles. In particular, dopamine …
relationship to incentive state. Dopamine appears to play key roles. In particular, dopamine …