Brenden M. Lake Created 2026-10-25 Updated 2026-11-05
A cognitive psychologist whose research includes concept learning and compositional generalization.[ref]
Human-level concept learning through probabilistic program induction by Brenden M. Lake and others. Author identification and the research contribution described in this paper
Caroline Catmur Created 2026-10-25 Updated 2026-11-05
Caroline Catmur studies action observation and sensorimotor learning. Her counter-mirror training study changed the pairing between seen actions and performed movements, then measured muscle-specific responses to observing an action. Changing the trained mapping changed the motor response pattern, supporting a contribution of experience to the observation-action relationship rather than establishing an unmodifiable reflex. [ref]
Sensorimotor learning configures the human mirror system by Caroline Catmur and others. 2007, training conditions and motor-evoked-potential measurement
Cerebellar error-driven learning Created 2026-10-24 Updated 2026-11-05
A family of models in which an instructive signal changes the influence of recently active inputs on cerebellar output. In a smooth-pursuit experiment, complex-spike duration predicted subsequent simple-spike depression and eye-movement learning; matching preceding simple-spike activity provided a control. This supports graded instruction during behaviour without proving an exact delta rule at every synapse.[ref]
Purkinje-cell plasticity and cerebellar motor learning are graded by complex-spike duration by Yan Yang and others. Figures 1–4 and Methods; author manuscript at PMC4132823: smooth pursuit, trial-over-trial plasticity and controls for prior simple-spike activity
Cerebellum Created 2026-10-24 Updated 2026-11-05
A brain structure with highly organized circuitry involved in motor control and learning, among other functions. Cerebellar error-driven learning models relate input expansion, Purkinje cells and instructive climbing fibers to adaptive control.
Chaffinch 2026-11-05
The chaffinch studied in classic song-learning experiments is Fringilla coelebs, a songbird. Its male song combines inherited organization with details acquired through learning.
In his 1958 experiments, W. H. Thorpe compared wild birds, juveniles isolated after time in the wild, and birds hand-reared in auditory isolation from the fifth day of life. The early-isolated birds produced much simpler songs; birds isolated only in their first autumn retained nearly normal patterns. Groups of early-isolated birds could develop elaborate but abnormal shared songs by hearing and copying one another.[ref]
A playback apparatus called the Song Tutor presented artificial patterns assembled from chaffinch notes. Birds learned some patterns when their tonal qualities were sufficiently similar to normal song. These results distinguish inherited dispositions from the auditory experience needed for local song details. Learning was also concentrated in a sensitive period, principally within the first thirteen months in these experiments.[ref]
Chun Yun Chang Created 2026-10-24 Updated 2026-11-05
A researcher who coauthored timed optogenetic inhibition of dopamine neurons in rats. The intervention tested whether brief reductions in activity could produce learning effects resembling negative reward-prediction errors.[ref]
Brief optogenetic inhibition of dopamine neurons mimics endogenous negative reward prediction errors by Chun Yun Chang and others. study design and results; author roster
Classical conditioning Created 2026-10-24 Updated 2026-11-05
Learning a relation between a cue and an outcome. Prediction-error models explain why a new cue may acquire little value when an established cue already predicts the outcome, the phenomenon of blocking.
Cognitive behavioral therapy Created 2026-10-24 Updated 2026-11-05
Complementary learning systems Created 2026-10-24 Updated 2026-11-05
A framework combining rapid learning with relatively separated episodic representations and slower learning with overlapping representations that extract shared structure. Hippocampal reinstatement supplies experience for interleaved cortical learning. The computational aim is to retain specific events while integrating new knowledge without destructive interference, not simply to duplicate short- and long-duration stores.[ref]
Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory by James L. McClelland and others. Psychological Review 102, pp. 419–457; pp. 432–435 and Figures 9–11, interference and interleaved learning; later sections on consolidation
Conditioned inhibition Created 2026-10-24 Updated 2026-11-05
Conditioned response 2026-10-24
Coping Created 2026-10-24 Updated 2026-11-05
Corticostriatal circuit 2026-10-24
A circuit involving cerebral cortex and striatum, often understood within larger loops through basal ganglia and thalamus. Different loops can contribute to learning and selecting actions; involvement of one component does not imply exclusivity of the whole function.
Cross-situational word learning 2026-10-25
Learning word–referent mappings by integrating information across individually ambiguous encounters. Recurrent co-occurrence can favour a mapping even when no single encounter uniquely identifies it. A target-looking preference need not distinguish parallel associative accumulation from testing and revising a candidate hypothesis.[ref]
Infants rapidly learn word-referent mappings via cross-situational statistics by Linda B. Smith and Chen Yu. Cognition 106, 1558–1568; ambiguous word/picture pairings and target-versus-distractor looking
David E. Rumelhart Created 2026-10-24 Updated 2026-11-05
A psychologist who coauthored the 1986 account of learning internal representations by backpropagation. The method adjusts connection weights in a multilayer artificial neural network using how those weights contribute to an output error. It explains how hidden units can acquire useful representations rather than requiring every intermediate feature to be specified by hand.[ref]
Learning representations by back-propagating errors by David E. Rumelhart and others. 1986, abstract and pp. 533–536
David J. Sanderson Created 2026-10-24 Updated 2026-11-05
David J. Sanderson studies animal learning and memory in animals. In mice lacking the GluA1 receptor subunit, his study compared short- and long-term spatial memory in animals using novelty preference. Impaired short-term performance together with preserved or enhanced longer-term performance supports distinguishing the processes sampled by different tasks, rather than treating every result as one general memory in animals score. [ref]
David Matsumoto Created 2026-10-25 Updated 2026-11-05
A researcher in facial expression who compared spontaneous expressions of blind and sighted athletes. Including people blind from birth tests whether visually observing other people’s faces is necessary for the expressions studied. Similarities across groups inform the role of visual learning without implying that social context never modifies emotional displays.[ref]
Spontaneous facial expressions of emotion of congenitally and noncongenitally blind individuals by David Matsumoto and others. 2009, methods and results, blind and sighted athletes
Portrait of David Matsumoto
. External portrait hosted by San Francisco State University. Source. D-cycloserine Created 2026-10-24 Updated 2026-11-05
Declarative memory Created 2026-10-24 Updated 2026-11-05
Memory accessible to flexible report or use concerning facts and events. It includes semantic memory and episodic memory; it is distinguished from preserved performance-based learning such as procedural memory.
Developmental dyscalculia 2026-10-24
