Abstract
Neuromodulators such as dopamine, serotonin, norepinephrine, and acetylcholine play a critical role in controlling the learning about the association between stimuli and actions and rewards and punishments, and also in regulating the way that networks process information and effect decisions. Precise characterization of at least one part of their function in these respects comes from theories originating in statistics, operations research, and engineering, and computational theory ties together neural, psychological, ethological, and even economic notions.
| Original language | English (US) |
|---|---|
| Title of host publication | Encyclopedia of Neuroscience |
| Subtitle of host publication | Volumes 1-11 |
| Publisher | Elsevier |
| Pages | V6-455-V6-462 |
| Volume | 6 |
| ISBN (Electronic) | 9780080450469 |
| ISBN (Print) | 9780080446172 |
| DOIs | |
| State | Published - Jan 1 2009 |
All Science Journal Classification (ASJC) codes
- General Medicine
- General Neuroscience
Keywords
- Acetylcholine
- Classical conditioning
- Dopamine
- Forward model
- Instrumental conditioning
- Kalman filter
- Neuromodulation
- Norepinephrine
- Prediction
- Reinforcement learning
- Serotonin
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