Neural dynamics of adaptive timing and temporal discrimination during associative learning
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Summary
The results on speed-up by drugs that increase brain concentrations of dopamine and acetylcholine support a 1972 prediction that the gated dipole habituative transmitter is a catecholamine and its long-term memory trace transmitter is acetylCholine.
- Type
- article
- Published
- 1989-03-01
- Cited by
- 396
- References
- 54
- OpenAlex
- https://openalex.org/W2038156236
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:39355814
Keywords
Computer science, Reinforcement learning, Artificial intelligence, Spurious relationship, Population
References
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- On the dynamics of operant conditioning.
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Cited by
- Altering the synchrony of stimulus trace processes: tests of a neural-network model
- Modeling neural mechanisms of vertebrate habituation: Locus specificity and pattern discrimination
- Evaluation of quantitative theories of timing.
- Timing in trace conditioning of the nictitating membrane response of the rabbit (Oryctolagus cuniculus): scalar, nonscalar, and adaptive features.
- A Scale-Invariant Internal Representation of Time
- How Entorhinal Grid Cells May Learn Multiple Spatial Scales from a Dorsoventral Gradient of Cell Response Rates in a Self-organizing Map
- How reduction of theta rhythm by medial septum inactivation may covary with disruption of entorhinal grid cell responses due to reduced cholinergic transmission
- Neurocomputational models of time perception.
- Stimulus representation in SOP: II. An application to inhibition of delay.
- Adaptive networks for robotics and the emergence of reward anticipatory circuits
- Effects of modulating tone frequency, intensity, and duration on the classically conditioned rabbit nictitating membrane response
- Stimulus representation in SOP: I. Theoretical rationalization and some implications.
- Hippocampal neuronal activity in rat and primate: Memory and movement
- Interval Timing and Genomics: What Makes Mutant Mice Tick?
- Apprentissage de représentations et robotique développementale : quelques apports de l'apprentissage profond pour la robotique autonome. (Representation learning and developmental robotics : on the use of deep learning for autonomous robots)
- Subjective time : the philosophy, psychology, and neuroscience of temporality
- Neural-network models of cognition : biobehavioral foundations
- Empirical modeling for intelligent, real-time manufacture control
- A computational perspective on dissociating hippocampal and entorhinal function
- Timing Performance Error in Rewarded and Non-Rewarded Tasks
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