Journal ArticleDOI
Neuronal circuits of the neocortex
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TLDR
It is found that, as has long been suspected by cortical neuroanatomists, the same basic laminar and tangential organization of the excitatory neurons of the neocortex is evident wherever it has been sought.Abstract:
We explore the extent to which neocortical circuits generalize, i.e., to what extent can neocortical neurons and the circuits they form be considered as canonical? We find that, as has long been suspected by cortical neuroanatomists, the same basic laminar and tangential organization of the excitatory neurons of the neocortex is evident wherever it has been sought. Similarly, the inhibitory neurons show characteristic morphology and patterns of connections throughout the neocortex. We offer a simple model of cortical processing that is consistent with the major features of cortical circuits: The superficial layer neurons within local patches of cortex, and within areas, cooperate to explore all possible interpretations of different cortical input and cooperatively select an interpretation consistent with their various cortical and subcortical inputs.read more
Citations
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Journal ArticleDOI
Effects of phase regression on high-resolution functional MRI of the primary visual cortex.
TL;DR: Evidence suggests phase regression is a useful method in low SNR studies such as high-resolution fMRI, and GE-EPI-PR has a higher contrast-to-noise ratio than SE-EPi, demonstrating the technique has higher sensitivity.
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Unsupervised Continual Learning and Self-Taught Associative Memory Hierarchies
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Book ChapterDOI
Chapter 24 – Somatosensory System
Ford F. Ebner,Jon H. Kaas +1 more
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Modeling the Developing Drosophila Brain: Rationale, Technique, and Application
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Journal ArticleDOI
Experience-driven formation of parts-based representations in a model of layered visual memory
TL;DR: This work proposes a model how a hierarchical memory structure supporting efficient storage and rapid recall of parts-based representations can be established by an experience-driven process of self-organization and shows that, under the condition of open-ended, unsupervised incremental learning, the system is able to form memory traces for individual faces in a parts- based fashion.
References
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Journal ArticleDOI
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
David H. Hubel,Torsten N. Wiesel +1 more
TL;DR: This method is used to examine receptive fields of a more complex type and to make additional observations on binocular interaction and this approach is necessary in order to understand the behaviour of individual cells, but it fails to deal with the problem of the relationship of one cell to its neighbours.
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Distributed Hierarchical Processing in the Primate Cerebral Cortex
TL;DR: A summary of the layout of cortical areas associated with vision and with other modalities, a computerized database for storing and representing large amounts of information on connectivity patterns, and the application of these data to the analysis of hierarchical organization of the cerebral cortex are reported on.
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Hierarchical models of object recognition in cortex
TL;DR: A new hierarchical model consistent with physiological data from inferotemporal cortex that accounts for this complex visual task and makes testable predictions is described.
Journal ArticleDOI
Neuromorphic electronic systems
TL;DR: It is shown that for many problems, particularly those in which the input data are ill-conditioned and the computation can be specified in a relative manner, biological solutions are many orders of magnitude more effective than those using digital methods.
Journal ArticleDOI