A dynamic neural field model of continuous input integration

The ability of neural systems to turn transient inputs into persistent changes in activity is thought to be a fundamental requirement for higher cognitive functions. In continuous attractor networks frequently used to model working memory or decision making tasks, the persistent activity settles to...

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Bibliographic Details
Published in:Biological cybernetics 2021-10, Vol.115 (5), p.451-471
Main Authors: Wojtak, Weronika, Coombes, Stephen, Avitabile, Daniele, Bicho, Estela, Erlhagen, Wolfram
Format: Article
Language:English
Subjects:
Amplitudes
Bioinformatics
Biomedical and Life Sciences
Biomedicine
Cognitive ability
Complex Systems
Computer Appl. in Life Sciences
Continuity (mathematics)
Cybernetics
Decision making
Feedback
Hypotheses
Integration
Memory
Memory tasks
Memory, Short-Term
Models, Neurological
Nerve Net
Neurobiology
Neurons
Neurosciences
Original Article
Pattern formation
Qualitative analysis
Research centers
Robotics
Short term memory
Stability analysis
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