AIMC Topic: Somatosensory Cortex

Clear Filters Showing 1 to 10 of 20 articles

A large-scale neural network training framework for generalized estimation of single-trial population dynamics.

Nature methods Nov 28, 2022
Achieving state-of-the-art performance with deep neural population dynamics models requires extensive hyperparameter tuning for each dataset. AutoLFADS is a model-tuning framework that automatically produces high-performing autoencoding models on dat...
Population Dynamics Motor Cortex Macaca mulatta Somatosensory Cortex Neural Networks, Computer Animals
View on PubMed DOI

Partial information decomposition reveals that synergistic neural integration is greater downstream of recurrent information flow in organotypic cortical cultures.

PLoS computational biology Jul 12, 2021
The directionality of network information flow dictates how networks process information. A central component of information processing in both biological and artificial neural networks is their ability to perform synergistic integration-a type of co...
Neurons Organ Culture Techniques Nerve Net Synaptic Transmission Computational Biology Models, Neurological Action Potentials Feedback, Physiological Neural Networks, Computer Somatosensory Cortex Animals Mice
View on PubMed DOI

Spage2vec: Unsupervised representation of localized spatial gene expression signatures.

The FEBS journal Oct 11, 2020
Investigations of spatial cellular composition of tissue architectures revealed by multiplexed in situ RNA detection often rely on inaccurate cell segmentation or prior biological knowledge from complementary single-cell sequencing experiments. Here,...
Humans Neural Networks, Computer Animals Gene Expression Profiling Internet Gene Ontology CA1 Region, Hippocampal Somatosensory Cortex Computational Biology Transcriptome Cluster Analysis Gene Regulatory Networks Fibroblasts Mice Cell Line
View on PubMed DOI

Somatosensory evoked fields predict response to vagus nerve stimulation.

NeuroImage. Clinical Feb 4, 2020
There is an unmet need to develop robust predictive algorithms to preoperatively identify pediatric epilepsy patients who will respond to vagus nerve stimulation (VNS). Given the similarity in the neural circuitry between vagus and median nerve affer...
Afferent Pathways Vagus Nerve Stimulation Support Vector Machine Median Nerve Connectome Drug Resistant Epilepsy Magnetoencephalography Evoked Potentials, Somatosensory Somatosensory Cortex Male Adolescent Child Treatment Outcome Humans Retrospective Studies Female
View on PubMed DOI

Spike detection and sorting with deep learning.

Journal of neural engineering Jan 24, 2020
OBJECTIVE: The extraction and identification of single-unit activities in intracortically recorded electric signals have a key role in basic neuroscience, but also in applied fields, like in the development of high-accuracy brain-computer interfaces....
Algorithms Animals Deep Learning Rats, Wistar Neural Networks, Computer Rats Action Potentials Somatosensory Cortex
View on PubMed DOI

Sensitivity to Stimulus Irregularity Is Inherent in Neural Networks.

Neural computation Jul 23, 2019
Behavior is controlled by complex neural networks in which neurons process thousands of inputs. However, even short spike trains evoked in a single cortical neuron were demonstrated to be sufficient to influence behavior in vivo. Specifically, irregu...
Neural Networks, Computer Animals Action Potentials Neurons Synapses Nerve Net Somatosensory Cortex
View on PubMed DOI

Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network.

Neural computation Apr 12, 2019
Although many real-time neural decoding algorithms have been proposed for brain-machine interface (BMI) applications over the years, an optimal, consensual approach remains elusive. Recent advances in deep learning algorithms provide new opportunitie...
Somatosensory Cortex Brain-Computer Interfaces Movement Motor Cortex Macaca mulatta Neural Networks, Computer Animals
View on PubMed DOI

Shared spatiotemporal category representations in biological and artificial deep neural networks.

PLoS computational biology Jul 24, 2018
Visual scene category representations emerge very rapidly, yet the computational transformations that enable such invariant categorizations remain elusive. Deep convolutional neural networks (CNNs) perform visual categorization at near human-level ac...
Electrodes Vision, Ocular Evoked Potentials, Somatosensory Photic Stimulation Humans Adolescent Neural Networks, Computer Evoked Potentials Somatosensory Cortex Brain Mapping Female Electroencephalography Young Adult Male
View on PubMed DOI

Abnormal Low-Frequency Oscillations Reflect Trait-Like Pain Ratings in Chronic Pain Patients Revealed through a Machine Learning Approach.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 16, 2018
Measures of moment-to-moment fluctuations in brain activity of an individual at rest have been shown to be a sensitive and reliable metric for studying pathological brain mechanisms across various chronic pain patient populations. However, the relati...
Rest Connectome Gyrus Cinguli Thalamus Chronic Pain Machine Learning Biological Clocks Female Somatosensory Cortex Humans Young Adult Adolescent Adult Magnetic Resonance Imaging Spondylitis, Ankylosing Male Brain Mapping Middle Aged Sex Characteristics Functional Neuroimaging
View on PubMed DOI

Structured networks support sparse traveling waves in rodent somatosensory cortex.

Proceedings of the National Academy of Sciences of the United States of America Apr 30, 2018
Neurons responding to different whiskers are spatially intermixed in the superficial layer 2/3 (L2/3) of the rodent barrel cortex, where a single whisker deflection activates a sparse, distributed neuronal population that spans multiple cortical colu...
Rodentia Neurons Somatosensory Cortex Neural Networks, Computer Neural Pathways Animals Electric Stimulation Action Potentials Vibrissae
View on PubMed DOI
Popular Topics
Recent Journals