AIMC Topic: Presynaptic Terminals

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Presynaptic Dopaminergic Imaging Characterizes Patients with REM Sleep Behavior Disorder Due to Synucleinopathy.

Annals of neurology Mar 11, 2024
OBJECTIVE: To apply a machine learning analysis to clinical and presynaptic dopaminergic imaging data of patients with rapid eye movement (REM) sleep behavior disorder (RBD) to predict the development of Parkinson disease (PD) and dementia with Lewy ...
Humans Machine Learning Female Aged Male Middle Aged Parkinson Disease Lewy Body Disease Dopamine Tomography, Emission-Computed, Single-Photon Synucleinopathies Presynaptic Terminals REM Sleep Behavior Disorder Dopaminergic Imaging
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Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics.

Nature communications Aug 12, 2020
Sensory information processing in robot skins currently rely on a centralized approach where signal transduction (on the body) is separated from centralized computation and decision-making, requiring the transfer of large amounts of data from periphe...
Neuronal Plasticity Action Potentials Robotics Signal Processing, Computer-Assisted Transistors, Electronic Logic Nociception Presynaptic Terminals
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Pre-Synaptic Pool Modification (PSPM): A supervised learning procedure for recurrent spiking neural networks.

PloS one Feb 24, 2020
Learning synaptic weights of spiking neural network (SNN) models that can reproduce target spike trains from provided neural firing data is a central problem in computational neuroscience and spike-based computing. The discovery of the optimal weight...
Computer Simulation Animals Models, Neurological Action Potentials Supervised Machine Learning Connectome Nerve Net Presynaptic Terminals
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