Yu, Angela J. ; Dayan, Peter (2002)
Acetylcholine in cortical inference.
In: Neural Networks, 15 (4-6)
doi: 10.1016/S0893-6080(02)00058-8
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Acetylcholine (ACh) plays an important role in a wide variety of cognitive tasks, such as perception, selective attention, associative learning, and memory. Extensive experimental and theoretical work in tasks involving learning and memory has suggested that ACh reports on unfamiliarity and controls plasticity and effective network connectivity. Based on these computational and implementational insights, we develop a theory of cholinergic modulation in perceptual inference. We propose that ACh levels reflect the uncertainty associated with top-down information, and have the effect of modulating the interaction between top-down and bottom-up processing in determining the appropriate neural representations for inputs. We illustrate our proposal by means of an hierarchical hidden Markov model, showing that cholinergic modulation of contextual information leads to appropriate perceptual inference.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2002 |
| Autor(en): | Yu, Angela J. ; Dayan, Peter |
| Art des Eintrags: | Bibliographie |
| Titel: | Acetylcholine in cortical inference |
| Sprache: | Englisch |
| Publikationsjahr: | Juni 2002 |
| Ort: | Amsterdam |
| Verlag: | Elsevier |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Neural Networks |
| Jahrgang/Volume einer Zeitschrift: | 15 |
| (Heft-)Nummer: | 4-6 |
| DOI: | 10.1016/S0893-6080(02)00058-8 |
| URL / URN: | https://www.sciencedirect.com/science/article/pii/S089360800... |
| Kurzbeschreibung (Abstract): | Acetylcholine (ACh) plays an important role in a wide variety of cognitive tasks, such as perception, selective attention, associative learning, and memory. Extensive experimental and theoretical work in tasks involving learning and memory has suggested that ACh reports on unfamiliarity and controls plasticity and effective network connectivity. Based on these computational and implementational insights, we develop a theory of cholinergic modulation in perceptual inference. We propose that ACh levels reflect the uncertainty associated with top-down information, and have the effect of modulating the interaction between top-down and bottom-up processing in determining the appropriate neural representations for inputs. We illustrate our proposal by means of an hierarchical hidden Markov model, showing that cholinergic modulation of contextual information leads to appropriate perceptual inference. |
| Freie Schlagworte: | Acetylcholine, Attention, Hidden Markov model, Neuromodulation, Perception, Representational inference |
| Fachbereich(e)/-gebiet(e): | 03 Fachbereich Humanwissenschaften 03 Fachbereich Humanwissenschaften > Institut für Psychologie |
| Hinterlegungsdatum: | 31 Okt 2023 07:14 |
| Letzte Änderung: | 01 Nov 2023 07:20 |
| PPN: | 512781818 |
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