Bayesian supervised machine learning classification of neural networks with pathological perturbations-Reference-Cited by-同舟云学术

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Bayesian supervised machine learning classification of neural networks with pathological perturbations

Published:2021-10-05 Issue:6 Volume:7 Page:065021
ISSN:2057-1976
Container-title:Biomedical Physics & Engineering Express
language:
Short-container-title:Biomed. Phys. Eng. Express

Author:

Levi Riccardo^ORCID,Valderhaug Vibeke Devold,Castelbuono Salvatore,Sandvig Axel,Sandvig Ioanna,Barbieri Riccardo^ORCID

Publisher

IOP Publishing

Subject

General Nursing

Link

https://iopscience.iop.org/article/10.1088/2057-1976/ac2935/pdf

Reference27 articles.

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2. Constraining the connectivity of neuronal networks cultured on microelectrode arrays with microfluidic techniques: a step towards neuron-based functional chips;Morin;Biosens. Bioelectron.,2006

3. Tracking burst patterns in hippocampal cultures with high-density CMOS-MEAs;Gandolfo;J. Neural Eng.,2010

4. Gabapentin regulates dopaminergic neuron firing and theta oscillation in the ventral tegmental area to reverse depression-like behavior in chronic neuropathic pain state;Fu;J. Pain Res.,2018

5. Functional characterization of GABAA receptor-mediated modulation of cortical neuron network activity in microelectrode array recordings;Bader;PLoS One,2017

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1. Micro-and mesoscale aspects of neurodegeneration in engineered human neural networks carrying the LRRK2 G2019S mutation;Frontiers in Cellular Neuroscience;2024-04-05

2. A Bayesian approach for simultaneous spike/LFP separation and spike sorting;Journal of Neural Engineering;2023-03-31

3. Application of Decision Tree and Bayesian Classification Algorithm in Visual Communication Design;Lecture Notes in Electrical Engineering;2023

4. Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks;BMC Medical Informatics and Decision Making;2022-11-09

5. Nonlinear point-process estimation of neural spiking activity based on variational Bayesian inference;Journal of Neural Engineering;2022-08-01

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