$Ensemble fractional sensitivity: A quantitative approach to neuron selection for decoding motor tasks$

Ensemble fractional sensitivity: A quantitative approach to neuron selection for decoding motor tasks

10.1155/2010/648202

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Bibliographic Details
Main Authors:	Singhal, G, Aggarwal, V, Acharya, S, Aguayo, J, He, J, Thakor, N
Other Authors:	DEPT OF ELECTRICAL & COMPUTER ENGG
Format:	Article
Published:	Hindawi 2020
Subjects:	Decoding algorithm Firing rates Identification accuracy Input space Model based approach Motor tasks Neuron selection Noisy neuron Optimal number Quantitative approach Random subsets Reach to grasp Relative contribution Rhesus monkey Robust methods Training data Training data sets Computer simulation Neurons Sensitivity analysis Decoding action potential algorithm animal article artificial neural network computer simulation frontal lobe hand Macaca male Monte Carlo method motor activity motor cortex nerve cell nonlinear system physiology signal processing wrist Action Potentials Algorithms Animals Computer Simulation Frontal Lobe Hand Macaca mulatta Male Monte Carlo Method Motor Activity Motor Cortex Neural Networks (Computer) Nonlinear Dynamics Signal Processing, Computer-Assisted Wrist
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/178201
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Institution:	National University of Singapore

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Summary:	10.1155/2010/648202