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
Cortical chemoarchitecture shapes macroscale effective functional connectivity patterns in macaque cerebral cortex.
TL;DR: This work examines reports of effective functional connectivity—as measured by the action of strychnine administration acting on the chemical balance of cortical areas—in relation to underlying regional variation in microscale neurotransmitter receptor density levels in the macaque cortex to provide evidence for the microscale chemoarchitecture of cortex areas to have a direct stimulating influence on the emergence of macroscale functional connectivity patterns in the mammalian brain.
Book ChapterDOI
Optimizing hierarchical temporal memory for multivariable time series
TL;DR: The traditional HTM principles are extended by means of a top node that stores and aligns sequences of input patterns representing the spatio-temporal structure of instances to be learned, which improves performance with respect to traditional HTMs in machine learning tasks whose input instances unfold over time.
Journal ArticleDOI
Multiple spike time patterns occur at bifurcation points of membrane potential dynamics.
J. Vincent Toups,Jean Marc Fellous,Peter J. Thomas,Peter J. Thomas,Terrence J. Sejnowski,Terrence J. Sejnowski,Paul H. E. Tiesinga,Paul H. E. Tiesinga +7 more
TL;DR: To study the reproducibility of the output spike times for different conditions that might occur in vivo, somatically injected aperiodic current waveforms into cortical neurons in vitro and systematically varied the amplitude and DC offset of the fluctuations.
Journal ArticleDOI
Large-scale simulations of plastic neural networks on neuromorphic hardware
TL;DR: This work demonstrates a recently proposed learning rule based on the Bayesian Confidence Propagation Neural Network (BCPNN) paradigm by learning temporal sequences of neural activity within a recurrent attractor network which is demonstrated to be the largest plastic neural network ever to be simulated on neuromorphic hardware.
Journal ArticleDOI
From Neural Arbors to Daisies
Dylan R. Muir,Rodney J. Douglas +1 more
TL;DR: It is concluded that the superficial patch system cannot be built during development using only information intrinsic to single neurons, and information shared across the population of patch-projecting neurons is required for the patch system to reach its adult state.
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.
Journal ArticleDOI
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