AIMC Topic: Electrophysiological Phenomena

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Using deep neural networks to detect complex spikes of cerebellar Purkinje cells.

Journal of neurophysiology May 6, 2020
One of the most powerful excitatory synapses in the brain is formed by cerebellar climbing fibers, originating from neurons in the inferior olive, that wrap around the proximal dendrites of cerebellar Purkinje cells. The activation of a single olivar...
Action Potentials Macaca mulatta Electrophysiological Phenomena Purkinje Cells Animals Male Deep Learning
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Dynamics of unidirectionally-coupled ring neural network with discrete and distributed delays.

Journal of mathematical biology Jan 30, 2020
In this paper, we consider a ring neural network with one-way distributed-delay coupling between the neurons and a discrete delayed self-feedback. In the general case of the distribution kernels, we are able to find a subset of the amplitude death re...
Electrophysiological Phenomena Nerve Net Mathematical Concepts Feedback, Physiological Models, Neurological Nonlinear Dynamics Humans Neural Networks, Computer Neurons Computer Simulation Linear Models Animals
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Multiclass Classification of Hepatic Anomalies with Dielectric Properties: From Phantom Materials to Rat Hepatic Tissues.

Sensors (Basel, Switzerland) Jan 18, 2020
Open-ended coaxial probes can be used as tissue characterization devices. However, the technique suffers from a high error rate. To improve this technology, there is a need to decrease the measurement error which is reported to be more than 30% for a...
Electrophysiology Phantoms, Imaging Electrophysiological Phenomena Animals Logistic Models Rats, Wistar Liver Equipment Design Rats Liver Cirrhosis Machine Learning Algorithms Female
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Endocannabinoid degradation inhibitors ameliorate neuronal and synaptic alterations following traumatic brain injury.

Journal of neurophysiology Jan 8, 2020
Our previous work showed that lateral fluid percussion injury to the sensorimotor cortex (SMC) of anesthetized rats increased neuronal synaptic hyperexcitability in layer 5 (L5) neurons in ex vivo brain slices 10 days postinjury. Furthermore, endocan...
Sensorimotor Cortex Endocannabinoids Benzodioxoles Monoacylglycerol Lipases Pyramidal Cells Electrophysiological Phenomena Excitatory Postsynaptic Potentials Piperazines Piperidines Enzyme Inhibitors Succinimides Benzamides Carbamates Amidohydrolases Male Rats, Wistar Machine Learning Rats Animals Brain Injuries, Traumatic
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Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data.

Communications biology Jan 7, 2020
Single-molecule research techniques such as patch-clamp electrophysiology deliver unique biological insight by capturing the movement of individual proteins in real time, unobscured by whole-cell ensemble averaging. The critical first step in analysi...
Humans Neural Networks, Computer Artificial Intelligence ROC Curve Single Molecule Imaging Ion Channels Electrophysiological Phenomena Ion Channel Gating Workflow Models, Biological Supervised Machine Learning Patch-Clamp Techniques
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A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin-Huxley models.

Journal of neurophysiology Dec 18, 2019
We present a mean-field formalism able to predict the collective dynamics of large networks of conductance-based interacting spiking neurons. We apply this formalism to several neuronal models, from the simplest Adaptive Exponential Integrate-and-Fir...
Humans Neurons Neural Networks, Computer Electrophysiological Phenomena Animals Nerve Net Models, Neurological
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Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance.

Scientific reports Nov 22, 2019
Identification of active electrodes that record task-relevant neurophysiological activity is needed for clinical and industrial applications as well as for investigating brain functions. We developed an unsupervised, fully automated approach to class...
Electrodes, Implanted Electrophysiological Phenomena Algorithms Unsupervised Machine Learning Evoked Potentials Memory, Short-Term Electrocorticography Brain Brain Mapping Verbal Behavior Datasets as Topic Biomedical Engineering Humans Retrospective Studies Electroencephalography Task Performance and Analysis Sensitivity and Specificity Epilepsy Cognition
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Electrophysiological assessment of plant status outside a Faraday cage using supervised machine learning.

Scientific reports Nov 19, 2019
Living organisms have evolved complex signaling networks to drive appropriate physiological processes in response to changing environmental conditions. Amongst them, electric signals are a universal method to rapidly transmit information. In animals,...
Plants Supervised Machine Learning Plant Physiological Phenomena Electrophysiological Phenomena Biosensing Techniques
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A dictionary learning approach for spatio-temporal characterization of absence seizures.

Physiological measurement Nov 4, 2019
OBJECTIVE: This research explores absence seizures using data recorded from different layers of somatosensory cortex of four genetic absence epilepsy rats from Strasbourg (GAERS). Localizing the active layers of somatosensory cortex (spatial analysis...
Humans Machine Learning Spatio-Temporal Analysis Electrophysiological Phenomena Models, Neurological Seizures
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A comprehensive knowledge base of synaptic electrophysiology in the rodent hippocampal formation.

Hippocampus Aug 31, 2019
The cellular and synaptic architecture of the rodent hippocampus has been described in thousands of peer-reviewed publications. However, no human- or machine-readable public catalog of synaptic electrophysiology data exists for this or any other neur...
Synapses Hippocampus Electrophysiological Phenomena Neuronal Plasticity Animals Knowledge Bases Male Data Mining Age Factors Rodentia
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