Towards a unified theory of neocortex: laminar cortical circuits for vision and cognition.
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Summary
Recent progress is described towards explaining how laminar neocortical circuits give rise to biological intelligence, which embody two new and revolutionary computational paradigms: Complementary Computing and Laminar Computing.
- Type
- review
- Published
- 2007-01-01
- Cited by
- 78
- References
- 174
- Access
- Open access
- OpenAlex
- https://openalex.org/W1944649656
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5664268
Keywords
Computer science, Cognition, Working memory, Visual cortex, Cognitive science
References
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- On the computational architecture of the neocortex
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- Perceptual learning without perception
- Laminar cortical dynamics of visual form and motion interactions during coherent object motion perception.
- Neuroanatomy: Text and Atlas
- Mechanisms of contour perception in monkey visual cortex. II. Contours bridging gaps
- Vergleichende Lokalisationslehre der Großhirnrinde : in ihren Prinzipien dargestellt auf Grund des Zellenbaues
- Effect of cooling area 18 on striate cortex cells in the squirrel monkey.
Cited by
- Towards building a more complex view of the lateral geniculate nucleus: Recent advances in understanding its role
- Un modèle d'apprentissage multimodal pour un substrat distribué d'inspiration corticale. (A model of multimodal learning for a cortically inspired, distributed substrate)
- Toward a Universal Cortical Algorithm: Examining Hierarchical Temporal Memory in Light of Frontal Cortical Function
- The Faces of Predictive Coding
- Sleep loss alters synaptic and intrinsic neuronal properties in mouse prefrontal cortex
- A cortex-like learning machine for temporal hierarchical pattern clustering, detection, and recognition
- A neural architecture for attention modulation and cross-stream interaction
- Unsupervised Hebbian learning by recurrent multilayer neural networks for temporal hierarchical pattern recognition
- A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots
- A neuromorphic approach to computer vision
- Towards a Mathematical Theory of Cortical Micro-circuits
- Models of cell assembly decay
- A novel biologically inspired local feature descriptor
- Binocular fusion and invariant category learning due to predictive remapping during scanning of a depthful scene with eye movements
- Functional model of biological neural networks
- Testing dynamical models of vision.
- How Can Selection of Biologically Inspired Features Improve the Performance of a Robust Object Recognition Model?
- Closed-loop neuromorphic target cuer
- Cancer ‘survivor-care’: II. Disruption of prefrontal brain activation top-down control of working memory capacity as possible mechanism for chemo-fog/brain (chemotherapy-associated cognitive impairment)
- Feedback Enhances Feedforward Figure-Ground Segmentation by Changing Firing Mode
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