AIMC Topic: Electrophysiology

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NLP-driven integration of electrophysiology and traditional Chinese medicine for enhanced diagnostics and management of postpartum pain.

SLAS technology Mar 6, 2025
Postpartum pain encompasses a range of physical and emotional discomforts, often influenced by hormonal changes, physical recovery, and individual psychological states. The complex interactions between the variables can make it difficult for traditio...
Pain Pain Management Electrophysiology Postpartum Period Humans Female Medicine, Chinese Traditional Natural Language Processing
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Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings.

Nature communications Jan 14, 2025
Intracellular electrophysiology is essential in neuroscience, cardiology, and pharmacology for studying cells' electrical properties. Traditional methods like patch-clamp are precise but low-throughput and invasive. Nanoelectrode Arrays (NEAs) offer ...
Myocytes, Cardiac Electrophysiology Microelectrodes Electrophysiological Phenomena Deep Learning Action Potentials Nanotechnology Humans Animals
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Large-scale electrophysiology and deep learning reveal distorted neural signal dynamics after hearing loss.

eLife May 10, 2023
Listeners with hearing loss often struggle to understand speech in noise, even with a hearing aid. To better understand the auditory processing deficits that underlie this problem, we made large-scale brain recordings from gerbils, a common animal mo...
Deafness Hearing Loss Speech Perception Hearing Loss, Sensorineural Humans Animals Deep Learning Electrophysiology
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Learnable latent embeddings for joint behavioural and neural analysis.

Nature May 3, 2023
Mapping behavioural actions to neural activity is a fundamental goal of neuroscience. As our ability to record large neural and behavioural data increases, there is growing interest in modelling neural dynamics during adaptive behaviours to probe neu...
Datasets as Topic Electrophysiology Movement Visual Cortex Photons Calcium Signaling Animals Neurons Calcium Video Recording Machine Learning Reproducibility of Results Biomechanical Phenomena
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Manifold learning analysis suggests strategies to align single-cell multimodal data of neuronal electrophysiology and transcriptomics.

Communications biology Nov 19, 2021
Recent single-cell multimodal data reveal multi-scale characteristics of single cells, such as transcriptomics, morphology, and electrophysiology. However, integrating and analyzing such multimodal data to deeper understand functional genomics and ge...
Mice Neurons Electrophysiology Electrophysiological Phenomena Gene Expression Profiling Transcriptome Single-Cell Analysis Machine Learning Brain Animals
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A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction.

Science robotics Sep 8, 2021
The application of anthropomorphic design features is widely assumed to facilitate human-robot interaction (HRI). However, a considerable number of study results point in the opposite direction. There is currently no comprehensive common ground on th...
Neural Networks, Computer Software Normal Distribution Robotics Empathy Man-Machine Systems Animals Algorithms Equipment Design Social Interaction Male Female Motion Engineering User-Computer Interface Biomechanical Phenomena Electrophysiology
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Automatic deep learning-driven label-free image-guided patch clamp system.

Nature communications Feb 10, 2021
Patch clamp recording of neurons is a labor-intensive and time-consuming procedure. Here, we demonstrate a tool that fully automatically performs electrophysiological recordings in label-free tissue slices. The automation covers the detection of cell...
Humans Software Brain Female Aged Adult Animals Male Automation Electrophysiology Patch-Clamp Techniques Middle Aged Rats, Wistar Deep Learning Rats Image Processing, Computer-Assisted Neurons Video Recording
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Recovery of reward function in problematic substance users using a combination of robotics, electrophysiology, and TMS.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology Oct 14, 2020
BACKGROUND: Theoretical and empirical work suggest that addictive drugs potentiate dopaminergic reinforcement learning signals and disrupt the reward function of its neural targets, including the anterior midcingulate cortex (aMCC) and the basal gang...
Robotics Reward Electrophysiology Reinforcement, Psychology Humans Prefrontal Cortex
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Third-order nanocircuit elements for neuromorphic engineering.

Nature Sep 23, 2020
Current hardware approaches to biomimetic or neuromorphic artificial intelligence rely on elaborate transistor circuits to simulate biological functions. However, these can instead be more faithfully emulated by higher-order circuit elements that nat...
Engineering Electrodes Biomimetics Logic Artificial Intelligence Electrophysiology Computer Simulation Models, Neurological Action Potentials
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Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation.

Scientific reports May 5, 2020
Restoration of the communication between brain circuitry is a crucial step in the recovery of brain damage induced by traumatic injuries or neurological insults. In this work we present a study of real-time unidirectional communication between a spik...
Electrodes, Implanted Optogenetics Neurotransmitter Agents Synapsins Immunohistochemistry Cerebral Cortex Rats Brain Electrophysiology Models, Neurological Computer Simulation Action Potentials Animals Microscopy, Fluorescence Humans Equipment Design In Vitro Techniques Light Neural Networks, Computer Neurons Cells, Cultured Video Recording
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