Object Selectivity of Local Field Potentials and Spikes in the Macaque Inferior Temporal Cortex
Gabriel Kreiman,Chou P. Hung,Chou P. Hung,Alexander Kraskov,Rodrigo Quian Quiroga,Tomaso Poggio,James J. DiCarlo,James J. DiCarlo +7 more
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TLDR
In this article, local field potentials (LFPs) arise largely from dendritic activity over large brain regions and provide a measure of the input to and local processing within an area.About:
This article is published in Neuron.The article was published on 2006-02-02 and is currently open access. It has received 322 citations till now. The article focuses on the topics: Temporal cortex & Local field potential.read more
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Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
TL;DR: A plethora of studies will be reviewed on the involvement of long-distance neuronal coherence in cognitive functions such as multisensory integration, working memory, and selective attention, and implications of abnormal neural synchronization are discussed as they relate to mental disorders like schizophrenia and autism.
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How Does the Brain Solve Visual Object Recognition
TL;DR: It is proposed that understanding the algorithm that produces core object recognition will require using neuronal and psychophysical data to sift through many computational models, each based on building blocks of small, canonical subnetworks with a common functional goal.
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Broadband Shifts in Local Field Potential Power Spectra Are Correlated with Single-Neuron Spiking in Humans
TL;DR: It is found that firing rates were positively correlated with broadband (2–150 Hz) shifts in the LFP power spectrum and narrowband oscillations correlated both positively and negatively with firing rates at different recording sites.
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Modelling and analysis of local field potentials for studying the function of cortical circuits
TL;DR: Careful mathematical modelling and analysis are needed to take full advantage of the opportunities that this signal offers in understanding signal processing in cortical circuits and, ultimately, the neural basis of perception and cognition.
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Extracting information from neuronal populations: information theory and decoding approaches.
TL;DR: To further understand how the brain processes information, it is important to shift from a single-neuron, multiple-trial framework to multiple-NEuron, single-trial methodologies.
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A quantitative description of membrane current and its application to conduction and excitation in nerve
A. L. Hodgkin,A. F. Huxley +1 more
TL;DR: This article concludes a series of papers concerned with the flow of electric current through the surface membrane of a giant nerve fibre by putting them into mathematical form and showing that they will account for conduction and excitation in quantitative terms.
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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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The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception
TL;DR: The data allow us to reject alternative accounts of the function of the fusiform face area (area “FF”) that appeal to visual attention, subordinate-level classification, or general processing of any animate or human forms, demonstrating that this region is selectively involved in the perception of faces.
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Neocognitron: A Self Organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position
TL;DR: A neural network model for a mechanism of visual pattern recognition that is self-organized by “learning without a teacher”, and acquires an ability to recognize stimulus patterns based on the geometrical similarity of their shapes without affected by their positions.