AIMC Topic: Neocortex
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Postoperative seizure outcome-guided machine learning for interictal electrocorticography in neocortical epilepsy.
Journal of neurophysiology
Mar 7, 2018
The objective of this study was to introduce a new machine learning guided by outcome of resective epilepsy surgery defined as the presence/absence of seizures to improve data mining for interictal pathological activities in neocortical epilepsy. Ele...
Recurring Functional Interactions Predict Network Architecture of Interictal and Ictal States in Neocortical Epilepsy.
eNeuro
Mar 8, 2017
Human epilepsy patients suffer from spontaneous seizures, which originate in brain regions that also subserve normal function. Prior studies demonstrate focal, neocortical epilepsy is associated with dysfunction, several hours before seizures. How do...
Theory of cortical function.
Proceedings of the National Academy of Sciences of the United States of America
Feb 6, 2017
Most models of sensory processing in the brain have a feedforward architecture in which each stage comprises simple linear filtering operations and nonlinearities. Models of this form have been used to explain a wide range of neurophysiological and p...
Mapping dynamical properties of cortical microcircuits using robotized TMS and EEG: Towards functional cytoarchitectonics.
NeuroImage
May 3, 2016
Brain dynamics at rest depend on the large-scale interactions between oscillating cortical microcircuits arranged into macrocolumns. Cytoarchitectonic studies have shown that the structure of those microcircuits differs between cortical regions, but ...
Eigenspectrum bounds for semirandom matrices with modular and spatial structure for neural networks.
Physical review. E, Statistical, nonlinear, and soft matter physics
Apr 24, 2015
The eigenvalue spectrum of the matrix of directed weights defining a neural network model is informative of several stability and dynamical properties of network activity. Existing results for eigenspectra of sparse asymmetric random matrices neglect...
Synchronization among neuronal pools without common inputs: in vivo study.
Brain structure & function
Sep 18, 2014
Periodic synchronization of activity among neuronal pools has been related to substantial neural processes and information throughput in the neocortical network. However, the mechanisms of generating such periodic synchronization among distributed po...
The cytoarchitectonic landscape revealed by deep learning method facilitated precise positioning in mouse neocortex.
Cerebral cortex (New York, N.Y. : 1991)
Jun 4, 2024
Neocortex is a complex structure with different cortical sublayers and regions. However, the precise positioning of cortical regions can be challenging due to the absence of distinct landmarks without special preparation. To address this challenge, w...
Robotic Automation of In Vivo Two-Photon Targeted Whole-Cell Patch-Clamp Electrophysiology.
Neuron
Aug 30, 2017
Whole-cell patch-clamp electrophysiological recording is a powerful technique for studying cellular function. While in vivo patch-clamp recording has recently benefited from automation, it is normally performed "blind," meaning that throughput for sa...
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