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Vahid Shalchyan

Showing results (1-10 of 29) with videos related to

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Computer Methods and Programs in Biomedicine|July 31, 2025
Decoding muscle activity via CNN-LSTM from 3D spatiotemporal EEGGolnaz Amiri, Vahid Shalchyan
Neuroscience|June 8, 2021
A New Spike Sorting Algorithm Based on Continuous Wavelet Transform and Investigating Its Effect on Improving Neural Decoding AccuracyAmir Soleymankhani, Vahid Shalchyan
Journal of Neuroscience Methods|December 17, 2013
A non-parametric Bayesian approach for clustering and tracking non-stationarities of neural spikesVahid Shalchyan, Dario Farina
Frontiers in Human Neuroscience|July 18, 2022
Continuous Decoding of Hand Movement From EEG Signals Using Phase-Based Connectivity FeaturesSeyyed Moosa Hosseini, Vahid Shalchyan
IEEE Transactions on Bio-Medical Engineering|July 10, 2012
Spike detection and clustering with unsupervised wavelet optimization in extracellular neural recordingsVahid Shalchyan, Winnie Jensen, Dario Farina
Bioengineered|March 28, 2019
Adaptation effects of medial forebrain bundle micro-electrical stimulationSepideh Farakhor, Vahid Shalchyan, Mohammad Reza Daliri
Bioengineered|June 18, 2019
Ratbot navigation using deep brain stimulation in ventral posteromedial nucleusSina Khajei, Vahid Shalchyan, Mohammad Reza Daliri
Frontiers in Neuroscience|May 2, 2019
Adaptive Artifact Removal From Intracortical Channels for Accurate Decoding of a Force Signal in Freely Moving RatsAbed Khorasani, Vahid Shalchyan, Mohammad Reza Daliri
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 24, 2017
Minimum Noise Estimate filter: a Novel Automated Artifacts Removal method for Field PotentialsReza Foodeh, Abed Khorasani, Vahid Shalchyan, et al.
Neuroscience Research|April 14, 2023
Investigating the application of graph theory features in hand movement directions decoding using EEG signalsSeyyed Moosa Hosseini, Amir Hossein Aminitabar, Vahid Shalchyan
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Computer Methods and Programs in Biomedicine|July 31, 2025
Decoding muscle activity via CNN-LSTM from 3D spatiotemporal EEGGolnaz Amiri, Vahid Shalchyan
Neuroscience|June 8, 2021
A New Spike Sorting Algorithm Based on Continuous Wavelet Transform and Investigating Its Effect on Improving Neural Decoding AccuracyAmir Soleymankhani, Vahid Shalchyan
Journal of Neuroscience Methods|December 17, 2013
A non-parametric Bayesian approach for clustering and tracking non-stationarities of neural spikesVahid Shalchyan, Dario Farina
Frontiers in Human Neuroscience|July 18, 2022
Continuous Decoding of Hand Movement From EEG Signals Using Phase-Based Connectivity FeaturesSeyyed Moosa Hosseini, Vahid Shalchyan
IEEE Transactions on Bio-Medical Engineering|July 10, 2012
Spike detection and clustering with unsupervised wavelet optimization in extracellular neural recordingsVahid Shalchyan, Winnie Jensen, Dario Farina
Bioengineered|March 28, 2019
Adaptation effects of medial forebrain bundle micro-electrical stimulationSepideh Farakhor, Vahid Shalchyan, Mohammad Reza Daliri
Bioengineered|June 18, 2019
Ratbot navigation using deep brain stimulation in ventral posteromedial nucleusSina Khajei, Vahid Shalchyan, Mohammad Reza Daliri
Frontiers in Neuroscience|May 2, 2019
Adaptive Artifact Removal From Intracortical Channels for Accurate Decoding of a Force Signal in Freely Moving RatsAbed Khorasani, Vahid Shalchyan, Mohammad Reza Daliri
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 24, 2017
Minimum Noise Estimate filter: a Novel Automated Artifacts Removal method for Field PotentialsReza Foodeh, Abed Khorasani, Vahid Shalchyan, et al.
Neuroscience Research|April 14, 2023
Investigating the application of graph theory features in hand movement directions decoding using EEG signalsSeyyed Moosa Hosseini, Amir Hossein Aminitabar, Vahid Shalchyan
Pageof 3