Neural Computation and the Computational Theory of Cognition
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Summary
It is concluded that neural computation is sui generis, which means that computational theories of cognition that rely on non-neural notions of computation ought to be replaced or reinterpreted in terms of neural computation.
- Type
- article
- Published
- 2013-04-01
- Cited by
- 171
- References
- 181
- Access
- Open access
- OpenAlex
- https://openalex.org/W23126542
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10116
Keywords
Factory (object-oriented programming), Art history, Archaeology, Art, History
References
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- Computer science as empirical inquiry: symbols and search
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- Towards explanatory pluralism in cognitive science
- Tracking the Mind's Eye
- Computational Mechanisms and Models of Computation
- Minimal models and canonical neural computations: the distinctness of computational explanation in neuroscience
- Information Processing and Dynamics in Minimally Cognitive Agents
- The Explanatory Role of Computation in Cognitive Science
- Deep and beautiful. The reward prediction error hypothesis of dopamine.
- The scope and limits of a mechanistic view of computational explanation
- Going for distance and going for speed: Effort and optical variables shape information for distance perception from observation to response
- Foundations of computational neuroscience.
- Why Build a Virtual Brain? Large-scale Neural Simulations as Test-bed for Artificial Computing Systems
- Automated essay evaluation and the computational paradigm: Machine scoring enters the classroom
- Why build a virtual brain? Large-scale neural simulations as jump start for cognitive computing
- Perceptual Context and the Nature of Neural Function
- Of minds and men – computers and translators
- Physical computation : a mechanistic account
- The Commitment to LOT
- Abstract Mechanisms and Neural Computation
- Rethinking associations in psychology
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