Ensemble fractional sensitivity: A quantitative approach to neuron selection for decoding motor tasks
10.1155/2010/648202
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
Hindawi
2020
|
| Subjects: | |
| Online Access: | https://scholarbank.nus.edu.sg/handle/10635/178201 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | National University of Singapore |
| id |
sg-nus-scholar.10635-178201 |
|---|---|
| record_format |
dspace |
| spelling |
sg-nus-scholar.10635-1782012020-12-04T09:37:42Z Ensemble fractional sensitivity: A quantitative approach to neuron selection for decoding motor tasks Singhal, G Aggarwal, V Acharya, S Aguayo, J He, J Thakor, N DEPT OF ELECTRICAL & COMPUTER ENGG 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) Neurons Nonlinear Dynamics Signal Processing, Computer-Assisted Wrist 10.1155/2010/648202 Computational Intelligence and Neuroscience 2010 648202 2020-10-20T08:19:53Z 2020-10-20T08:19:53Z 2010 Article Singhal, G, Aggarwal, V, Acharya, S, Aguayo, J, He, J, Thakor, N (2010). Ensemble fractional sensitivity: A quantitative approach to neuron selection for decoding motor tasks. Computational Intelligence and Neuroscience 2010 : 648202. ScholarBank@NUS Repository. https://doi.org/10.1155/2010/648202 1687-5265 https://scholarbank.nus.edu.sg/handle/10635/178201 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Hindawi Unpaywall 20201031 |
| institution |
National University of Singapore |
| building |
NUS Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NUS Library |
| collection |
ScholarBank@NUS |
| topic |
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) Neurons Nonlinear Dynamics Signal Processing, Computer-Assisted Wrist |
| spellingShingle |
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) Neurons Nonlinear Dynamics Signal Processing, Computer-Assisted Wrist Singhal, G Aggarwal, V Acharya, S Aguayo, J He, J Thakor, N Ensemble fractional sensitivity: A quantitative approach to neuron selection for decoding motor tasks |
| description |
10.1155/2010/648202 |
| author2 |
DEPT OF ELECTRICAL & COMPUTER ENGG |
| author_facet |
DEPT OF ELECTRICAL & COMPUTER ENGG Singhal, G Aggarwal, V Acharya, S Aguayo, J He, J Thakor, N |
| format |
Article |
| author |
Singhal, G Aggarwal, V Acharya, S Aguayo, J He, J Thakor, N |
| author_sort |
Singhal, G |
| title |
Ensemble fractional sensitivity: A quantitative approach to neuron selection for decoding motor tasks |
| title_short |
Ensemble fractional sensitivity: A quantitative approach to neuron selection for decoding motor tasks |
| title_full |
Ensemble fractional sensitivity: A quantitative approach to neuron selection for decoding motor tasks |
| title_fullStr |
Ensemble fractional sensitivity: A quantitative approach to neuron selection for decoding motor tasks |
| title_full_unstemmed |
Ensemble fractional sensitivity: A quantitative approach to neuron selection for decoding motor tasks |
| title_sort |
ensemble fractional sensitivity: a quantitative approach to neuron selection for decoding motor tasks |
| publisher |
Hindawi |
| publishDate |
2020 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/178201 |
| _version_ |
1686108975830925312 |