Modelling cognitive flexibility with deep neural networks
Article Properties
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LanguageEnglish
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DOI (url)
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Indian UGC (journal)
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Refrences68
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Kai Sandbrink
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Christopher Summerfield
Cite
Sandbrink, Kai, and Christopher Summerfield. “Modelling Cognitive Flexibility With Deep Neural Networks”. Current Opinion in Behavioral Sciences, vol. 57, p. 101361, https://doi.org/10.1016/j.cobeha.2024.101361.
Sandbrink, K., & Summerfield, C. (n.d.). Modelling cognitive flexibility with deep neural networks. Current Opinion in Behavioral Sciences, 57, 101361. https://doi.org/10.1016/j.cobeha.2024.101361
Sandbrink K, Summerfield C. Modelling cognitive flexibility with deep neural networks. Current Opinion in Behavioral Sciences. 57:101361.
Journal Categories
Medicine
Internal medicine
Neurosciences
Biological psychiatry
Neuropsychiatry
Philosophy
Psychology
Religion
Psychology
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Meta-reinforcement learning via orbitofrontal cortex | Nature Neuroscience |
| 4 | 2023 |
| Principles of cognitive control over task focus and task switching | Nature Reviews Psychology |
| 7 | 2023 |
| Orthogonal representations for robust context-dependent task performance in brains and neural networks | Neuron |
| 42 | 2022 |
| Rationalizing constraints on the capacity for cognitive control | Trends in Cognitive Sciences |
| 54 | 2021 |
| If deep learning is the answer, what is the question? | Nature Reviews Neuroscience |
| 134 | 2021 |
Refrences Analysis
The category
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry 47
is the most frequently represented among the references in this article. It primarily includes studies from Trends in Cognitive Sciences The chart below illustrates the number of referenced publications per year.