The Leabra architecture: specialization without modularity
Abstract
Abstract The posterior cortex, hippocampus, and prefrontal cortex in the Leabra architecture are specialized in terms of various neural parameters, and thus are predilections for learning and processing, but domain-general in terms of cognitive functions such as face recognition. Also, these areas are not encapsulated and violate Fodorian criteria for modularity. Anderson's terminology obscures these important points, but we applaud his overall message.
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Local inhibitory networks could give rise to competition between different representations in the cortex, perhaps allowing one cortical column to suppress others nearby, or to send more sophisticated messages to gate the state transitions of its neighbors.
“Notably, local inhibitory networks could also give rise to competition (Petrov et al., 2010) between different representations in the cortex, perhaps allowing one cortical column to suppress others nearby, or perhaps even to send more sophisticated messages to gate the state transitions of its neighbors (Bach and Herger, 2015).”
From Toward an integration of deep learning and neuroscience (2016) · cites this paper as Petrov et al., 2010
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Toward an integration of deep learning and neuroscience
Marblestone, A. H., Wayne, G., & Kording, K. P. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00094 · Cited by 119 · see citing works
- Authors
- Petrov, A. A., Jilk, D. J., & O'Reilly, R. C.
- Affiliations
- The Ohio State University (US)
- Venue
- Behavioral and Brain Sciences
- Publisher
- Cambridge University Press (CUP)
- Published
- 2010-08
- Volume
- 33
- Issue
- 4
- Pages
- 286-287
- ISSN
- 0140-525X (ISSN-L)
- 1469-1825
- OpenAlex
- W2119277806
- Cited by
- 26
- References
- 29
- Citations by year
- 2025: 1 · 2021: 15 · 2018: 1 · 2017: 1 · 2016: 2 · 2014: 2 · 2013: 2
- FWCI
- 1.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behavioral and Brain Sciences (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Philosophy and Theoretical Science
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Keywords
- modularity, domain specificity, domain generality, face recognition (cognition), posterior cortex, hippocampus, prefrontal cortex, cognitive architecture
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