A citation-based method for searching scientific literature

Neural population partitioning and a concurrent brain-machine interface for sequential motor function.
Maryam M Shanechi, Rollin C Hu, Marissa Powers, Gregory W Wornell, Emery N Brown, Ziv M Williams. Nat Neurosci 2012
Times Cited: 49



A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.
Wilson Truccolo, Uri T Eden, Matthew R Fellows, John P Donoghue, Emery N Brown. J Neurophysiol 2005
Times Cited: 541




List of shared articles



Times cited

Multiscale low-dimensional motor cortical state dynamics predict naturalistic reach-and-grasp behavior.
Hamidreza Abbaspourazad, Mahdi Choudhury, Yan T Wong, Bijan Pesaran, Maryam M Shanechi. Nat Commun 2021
15

An overview of Bayesian methods for neural spike train analysis.
Zhe Chen. Comput Intell Neurosci 2013
24

Feedback-controlled parallel point process filter for estimation of goal-directed movements from neural signals.
Maryam M Shanechi, Gregory W Wornell, Ziv M Williams, Emery N Brown. IEEE Trans Neural Syst Rehabil Eng 2013
32

Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering.
Maryam M Shanechi, Amy L Orsborn, Jose M Carmena. PLoS Comput Biol 2016
59

Translating the brain-machine interface.
Nitish V Thakor. Sci Transl Med 2013
52

Brain-machine interfaces from motor to mood.
Maryam M Shanechi. Nat Neurosci 2019
52

Multiscale modeling and decoding algorithms for spike-field activity.
Han-Lin Hsieh, Yan T Wong, Bijan Pesaran, Maryam M Shanechi. J Neural Eng 2019
12

A point-process matched filter for event detection and decoding from population spike trains.
Nitin Sadras, Bijan Pesaran, Maryam M Shanechi. J Neural Eng 2019
7

Rapid control and feedback rates enhance neuroprosthetic control.
Maryam M Shanechi, Amy L Orsborn, Helene G Moorman, Suraj Gowda, Siddharth Dangi, Jose M Carmena. Nat Commun 2017
47

A Multiscale Dynamical Modeling and Identification Framework for Spike-Field Activity.
Hamidreza Abbaspourazad, Han-Lin Hsieh, Maryam M Shanechi. IEEE Trans Neural Syst Rehabil Eng 2019
11

A common goodness-of-fit framework for neural population models using marked point process time-rescaling.
Long Tao, Karoline E Weber, Kensuke Arai, Uri T Eden. J Comput Neurosci 2018
4

Sparse model-based estimation of functional dependence in high-dimensional field and spike multiscale networks.
Ramin Bighamian, Yan T Wong, Bijan Pesaran, Maryam M Shanechi. J Neural Eng 2019
12

Smoothness as a failure mode of Bayesian mixture models in brain-machine interfaces.
Siamak Yousefi, Alex Wein, Kevin C Kowalski, Andrew G Richardson, Lakshminarayan Srinivasan. IEEE Trans Neural Syst Rehabil Eng 2015
0

Brain-Machine Interface Control Algorithms.
Maryam M Shanechi. IEEE Trans Neural Syst Rehabil Eng 2017
27

Optimizing the learning rate for adaptive estimation of neural encoding models.
Han-Lin Hsieh, Maryam M Shanechi. PLoS Comput Biol 2018
14

A real-time brain-machine interface combining motor target and trajectory intent using an optimal feedback control design.
Maryam M Shanechi, Ziv M Williams, Gregory W Wornell, Rollin C Hu, Marissa Powers, Emery N Brown. PLoS One 2013
48

Modeling multiscale causal interactions between spiking and field potential signals during behavior.
Chuanmeizhi Wang, Bijan Pesaran, Maryam M Shanechi. J Neural Eng 2022
1

An Improved Unscented Kalman Filter Based Decoder for Cortical Brain-Machine Interfaces.
Simin Li, Jie Li, Zheng Li. Front Neurosci 2016
9


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