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
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Dendritic calcium spikes are clearly detectable at the cortical surface
TL;DR: The authors devise an optogenetic method to evoke dendritic calcium spikes in layer 5 pyramidal cells of the rat somatosensory cortex, and report that optogenetically evoked, as well as sensory-evoked dendrite calcium spikes make a significant contribution to surface EEG recordings.
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Laminar specific fMRI reveals directed interactions in distributed networks during language processing
Daniel Sharoh,Tim van Mourik,Lauren J. Bains,Katrien Segaert,Kirsten Weber,Peter Hagoort,David G. Norris +6 more
TL;DR: In this article, the authors used laminar resolution to dissociate the top-down and bottom-up signal contributions to the left occipitotemporal sulcus (LOTS) during word reading.
Journal ArticleDOI
Diversity of Glutamatergic Synaptic Strength in Lateral Prefrontal versus Primary Visual Cortices in the Rhesus Monkey
Maria Medalla,Jennifer I. Luebke +1 more
TL;DR: The properties of spines and synaptic currents of individual layer 3 pyramidal neurons measured here were significantly correlated, consistent with the idea that significantly more frequent and larger synaptic currents are likely due to more numerous, larger, and more powerful synapses in LPFC compared with V1.
Journal ArticleDOI
Region-Specific Spike-Frequency Acceleration in Layer 5 Pyramidal Neurons Mediated by Kv1 Subunits
TL;DR: It is shown that the intrinsic membrane and integrative properties of a discrete subtype of layer 5 pyramidal neurons differ between primary motor and somatosensory cortices due to region- and cell-type-specific Kv1 subunit expression.
Posted ContentDOI
The organization of intracortical connections by layer and cell class in the mouse brain
Julie A. Harris,Stefan Mihalas,Karla E. Hirokawa,Jennifer D. Whitesell,Joseph E. Knox,Amy Bernard,Phillip Bohn,Shiella Caldejon,Linzy Casal,Andrew Cho,David Feng,Nathalie Gaudreault,Nile Graddis,Peter A. Groblewski,Alex M. Henry,Anh Ho,Robert Howard,Leonard Kuan,Jérôme Lecoq,Jennifer Luviano,Stephen McConoughey,Marty Mortrud,Maitham Naeemi,Lydia Ng,Seung Wook Oh,Benjamin Ouellette,Staci A. Sorensen,Wayne Wakeman,Quanxin Wang,Ali Williford,John W. Phillips,Christof Koch,Hongkui Zeng +32 more
TL;DR: A significant expansion of the Allen Mouse Brain Connectivity Atlas is presented, with ∼1,000 new axonal projection mapping experiments across nearly all isocortical areas in 49 Cre driver lines and network analyses revealed a modular organization of the intracortical connectome.
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
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Distributed Hierarchical Processing in the Primate Cerebral Cortex
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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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