AIMC Topic: Neurons

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Dynamics of a Large-Scale Spiking Neural Network with Quadratic Integrate-and-Fire Neurons.

Neural plasticity Feb 23, 2021
Since the high dimension and complexity of the large-scale spiking neural network, it is difficult to research the network dynamics. In recent decades, the mean-field approximation has been a useful method to reduce the dimension of the network. In t...
Neurons Neural Networks, Computer Computer Simulation Synapses Nerve Net Models, Neurological Neural Inhibition Action Potentials
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Rapid 3D phenotypic analysis of neurons and organoids using data-driven cell segmentation-free machine learning.

PLoS computational biology Feb 22, 2021
Phenotypic profiling of large three-dimensional microscopy data sets has not been widely adopted due to the challenges posed by cell segmentation and feature selection. The computational demands of automated processing further limit analysis of hard-...
Microscopy, Fluorescence Neurons Programming Languages Mammary Glands, Human Organoids Apoptosis Software Mice, Inbred C57BL Algorithms Cell Line Phenotype Autophagy Brain Animals Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Machine Learning Mice
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Bioinspired multisensory neural network with crossmodal integration and recognition.

Nature communications Feb 18, 2021
The integration and interaction of vision, touch, hearing, smell, and taste in the human multisensory neural network facilitate high-level cognitive functionalities, such as crossmodal integration, recognition, and imagination for accurate evaluation...
Humans Neural Networks, Computer Learning Vision, Ocular Neurons Imagination Biomimetics Touch Taste Recognition, Psychology Smell
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Machine learning identifies candidates for drug repurposing in Alzheimer's disease.

Nature communications Feb 15, 2021
Clinical trials of novel therapeutics for Alzheimer's Disease (AD) have consumed a large amount of time and resources with largely negative results. Repurposing drugs already approved by the Food and Drug Administration (FDA) for another indication i...
Drugs, Investigational Polypharmacology Cerebral Cortex Primary Cell Culture Prescription Drugs Nootropic Agents Neurons Alzheimer Disease High-Throughput Screening Assays Gene Expression Regulation Humans Pharmacogenetics Machine Learning Neuroprotective Agents Severity of Illness Index Nerve Tissue Proteins Gene Expression Profiling Drug Repositioning
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Biomimetic FPGA-based spatial navigation model with grid cells and place cells.

Neural networks : the official journal of the International Neural Network Society Feb 13, 2021
The mammalian spatial navigation system is characterized by an initial divergence of internal representations, with disparate classes of neurons responding to distinct features including location, speed, borders and head direction; an ensuing converg...
Spatial Navigation Grid Cells Place Cells Neural Networks, Computer Neurons Animals Biomimetics Rats Hippocampus Models, Neurological Entorhinal Cortex
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Real-time volumetric reconstruction of biological dynamics with light-field microscopy and deep learning.

Nature methods Feb 11, 2021
Light-field microscopy has emerged as a technique of choice for high-speed volumetric imaging of fast biological processes. However, artifacts, nonuniform resolution and a slow reconstruction speed have limited its full capabilities for in toto extra...
Motor Activity Zebrafish Microscopy Behavior, Animal Caenorhabditis elegans Biomechanical Phenomena Animals Deep Learning Image Processing, Computer-Assisted Heart Neurons
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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 Male Middle Aged Deep Learning Image Processing, Computer-Assisted Female Aged Adult Animals Automation Electrophysiology Rats, Wistar Patch-Clamp Techniques Rats Neurons Video Recording
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Modulation of the dynamics of cerebellar Purkinje cells through the interaction of excitatory and inhibitory feedforward pathways.

PLoS computational biology Feb 10, 2021
The dynamics of cerebellar neuronal networks is controlled by the underlying building blocks of neurons and synapses between them. For which, the computation of Purkinje cells (PCs), the only output cells of the cerebellar cortex, is implemented thro...
Synaptic Transmission Neural Networks, Computer Interneurons Computer Simulation Purkinje Cells Animals Excitatory Postsynaptic Potentials Humans Signal Transduction Cerebellum Synapses Neuronal Plasticity Cerebellar Cortex Neural Pathways Models, Neurological Normal Distribution Action Potentials Neurons
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A new recursive least squares-based learning algorithm for spiking neurons.

Neural networks : the official journal of the International Neural Network Society Feb 7, 2021
Spiking neural networks (SNNs) are regarded as effective models for processing spatio-temporal information. However, their inherent complexity of temporal coding makes it an arduous task to put forward an effective supervised learning algorithm, whic...
Machine Learning Spatio-Temporal Analysis Models, Neurological Action Potentials Humans Least-Squares Analysis Neurons
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SpikeDeep-classifier: a deep-learning based fully automatic offline spike sorting algorithm.

Journal of neural engineering Feb 5, 2021
Advancements in electrode design have resulted in micro-electrode arrays with hundreds of channels for single cell recordings. In the resulting electrophysiological recordings, each implanted electrode can record spike activity (SA) of one or more ne...
Deep Learning Action Potentials Signal Processing, Computer-Assisted Neurons Electrodes, Implanted Humans Algorithms Animals
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