Cognitive computational neuroscience

Cognitive computational neuroscience

To learn how cognition is implemented in the brain, we must build computational models that can perform cognitive tasks, and test such models with brain and behavioral experiments. Cognitive science has developed computational models that decompose cognition into functional components. Computational...

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Bibliographic Details
Published in:Nature neuroscience 2018-09, Vol.21 (9), p.1148-1160
Main Authors: Kriegeskorte, Nikolaus, Douglas, Pamela K
Format: Article
Language:eng
Subjects:
Animal experimentation
Animals
Artificial intelligence
Brain
Brain research
Cognition
Cognition & reasoning
Cognition - physiology
Cognitive ability
Cognitive tasks
Computation
Computational biology
Computational Biology - trends
Computational neuroscience
Computer Simulation
Control systems
Control tasks
Data processing
Humans
Information processing
Innovations
Mathematical models
Models, Neurological
Nervous system
Neurons
Neurophysiology
Neurosciences
Neurosciences - trends
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Summary:To learn how cognition is implemented in the brain, we must build computational models that can perform cognitive tasks, and test such models with brain and behavioral experiments. Cognitive science has developed computational models that decompose cognition into functional components. Computational neuroscience has modeled how interacting neurons can implement elementary components of cognition. It is time to assemble the pieces of the puzzle of brain computation and to better integrate these separate disciplines. Modern technologies enable us to measure and manipulate brain activity in unprecedentedly rich ways in animals and humans. However, experiments will yield theoretical insight only when employed to test brain-computational models. Here we review recent work in the intersection of cognitive science, computational neuroscience and artificial intelligence. Computational models that mimic brain information processing during perceptual, cognitive and control tasks are beginning to be developed and tested with brain and behavioral data.
ISSN:1097-6256
1546-1726