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
Threshold switching memristor-based stochastic neurons for probabilistic computing
Kuan Wang,Qing Hu,Bin Gao,Lin Qi,Fuwei Zhuge,Da-You Zhang,Wang Lun,Yuhui He,Ralph H. Scheicher,Hao Tong,Xiangshui Miao +10 more
TL;DR: Stochastic neurons based on CuS/GeSe conductive bridge threshold switching memristors are designed to mimic the probabilistic computing ability of the brain at a hardware level.
Proceedings ArticleDOI
Mapping spiking neural networks onto a manycore neuromorphic architecture
TL;DR: It is shown that a poor neuron-to-core mapping can incur significant energy costs and addressed with a greedy algorithm that compiles SNNs onto Loihi in a power-efficient manner.
Journal ArticleDOI
High-level language processing regions are not engaged in action observation or imitation.
TL;DR: All language regions, including those in the inferior frontal gyrus (within "Broca's area"), showed little or no response during action observation/imitation, adding to the growing body of literature suggesting that high-level language regions are highly selective for language processing.
Journal ArticleDOI
A neuronal model of the language cortex
TL;DR: A brain-inspired model of the language cortex was modelled and the network consisted of neuron-like elements (graded-response units) and mimicked the neuroanatomical areas in the perisylvian language cortex and the intrinsic and mutual connections within and between them.
Journal ArticleDOI
Cholecystokinin-expressing Interneurons of the Medial Prefrontal Cortex Mediate Working Memory Retrieval
Robin Nguyen,Sridevi Venkatesan,Mary A. Binko,Jee Yoon Bang,Janine D. Cajanding,Chloe Briggs,Derya Sargin,Itaru Imayoshi,Evelyn K. Lambe,Jun Chul Kim +9 more
TL;DR: This study is the first to report detailed properties of cortical cholecystokinin interneurons, revealing their anatomical organization, electrophysiological properties, postsynaptic connectivity, and behavioral function in working memory.
References
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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.
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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.
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