Computational Models of Brain and Behavior 2017
DOI: 10.1002/9781119159193.ch35
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Information Theory, Memory, Prediction, and Timing in Associative Learning

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Cited by 13 publications
(11 citation statements)
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References 76 publications
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“…Later findings suggest that PCs do not simply receive timing input from upstream neural circuits, but rather, that the timing of anticipatory responses by the cerebellum is intrinsic to PCs controlling the duration of pauses in firing activity (Johansson et al, 2016(Johansson et al, , 2018. Overall, these observations support the hypothesis that an intrinsic memory process in PCs encodes the details necessary for the temporal control of eyeblink conditioning in a manner that is co-occurring with and independent of the neural mechanisms typically thought to support associative learning (e.g., LTP and LTD-see Wilkes and Gallistel, 2017 for a discussion of information theory and the role of interval timing in associative learning).…”
Section: Purkinje Cellssupporting
confidence: 60%
“…Later findings suggest that PCs do not simply receive timing input from upstream neural circuits, but rather, that the timing of anticipatory responses by the cerebellum is intrinsic to PCs controlling the duration of pauses in firing activity (Johansson et al, 2016(Johansson et al, , 2018. Overall, these observations support the hypothesis that an intrinsic memory process in PCs encodes the details necessary for the temporal control of eyeblink conditioning in a manner that is co-occurring with and independent of the neural mechanisms typically thought to support associative learning (e.g., LTP and LTD-see Wilkes and Gallistel, 2017 for a discussion of information theory and the role of interval timing in associative learning).…”
Section: Purkinje Cellssupporting
confidence: 60%
“…Moreover, assuming that the target does not vary trial‐by‐trial raises the question of how the target may be changed when the mean of the timed intervals changes, as in our first experiment. Addressing that question would seem to require a change‐detection algorithm operating on the sequence of timing results preserved in memory (Gallistel, Krishan, Liu, Miller, & Latham, ; Gallistel & Wilkes, ; Wilkes & Gallistel, ). Our third experiment addresses the question of whether the subject's ability to change its target switch latency (hence the mean of its switch‐latency distribution) depends on a remembered sequence of trial durations rather than only on a running average of those durations.…”
Section: Discussionmentioning
confidence: 99%
“…The original version of the Behavioral Theory of Timing (Killeen & Fetterman, ) and neurally oriented theories (Fiala et al, ; Grossberg & Schmajuk, ; Karmarkar & Buonomano, ; Yamazaki & Tanaka, ) are examples of record‐free theories. Scalar Expectancy Theory (SET, Gibbon, ; Gibbon, Church, & Meck, ), The Analytic Theory of Associative Learning (TATAL, Gallistel & Wilkes, ; Wilkes & Gallistel, ) and a later version of BeT (Fetterman & Killeen, ) are examples of record‐based theories. In a record‐based theory, there is at least one referential record in memory, whereas in a record‐free theory, there are no records in the brain of any objective fact about the animal's experience.…”
Section: Discussionmentioning
confidence: 99%
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“…The discovery of the rich mnemonic contents produced by conditioning protocols and the longstanding evidence for the importance of derived ratio variables (rates, probabilities, the C/T ratio) has stimulated the development of nonassociative content-based theories of learning Gallistel & Wilkes, 2016;Gallistel, 1990Gallistel, , 2012Gallistel & Gibbon, 2000;Gibbon, 1977;Wilkes & Gallistel, 2017). In these theories, learning has two components, the second of which presupposes the first.…”
Section: Content-based Theories Of Learningmentioning
confidence: 99%