A citation-based method for searching scientific literature

Yuxiao Yang, Justin T Lee, Jennifer A Guidera, Ksenia Y Vlasov, JunZhu Pei, Emery N Brown, Ken Solt, Maryam M Shanechi. J Neural Eng 2019
Times Cited: 14







List of co-cited articles
144 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Mood variations decoded from multi-site intracranial human brain activity.
Omid G Sani, Yuxiao Yang, Morgan B Lee, Heather E Dawes, Edward F Chang, Maryam M Shanechi. Nat Biotechnol 2018
74
64



Multiscale modeling and decoding algorithms for spike-field activity.
Han-Lin Hsieh, Yan T Wong, Bijan Pesaran, Maryam M Shanechi. J Neural Eng 2019
11
72

Optimizing the learning rate for adaptive estimation of neural encoding models.
Han-Lin Hsieh, Maryam M Shanechi. PLoS Comput Biol 2018
13
53

Single-trial dynamics of motor cortex and their applications to brain-machine interfaces.
Jonathan C Kao, Paul Nuyujukian, Stephen I Ryu, Mark M Churchland, John P Cunningham, Krishna V Shenoy. Nat Commun 2015
89
50

Estimating Multiscale Direct Causality Graphs in Neural Spike-Field Networks.
Chuanmeizhi Wang, Maryam M Shanechi. IEEE Trans Neural Syst Rehabil Eng 2019
10
70

Dynamic network modeling and dimensionality reduction for human ECoG activity.
Yuxiao Yang, Omid G Sani, Edward F Chang, Maryam M Shanechi. J Neural Eng 2019
18
50

Neural constraints on learning.
Patrick T Sadtler, Kristin M Quick, Matthew D Golub, Steven M Chase, Stephen I Ryu, Elizabeth C Tyler-Kabara, Byron M Yu, Aaron P Batista. Nature 2014
281
42


Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation.
Bijan Pesaran, Martin Vinck, Gaute T Einevoll, Anton Sirota, Pascal Fries, Markus Siegel, Wilson Truccolo, Charles E Schroeder, Ramesh Srinivasan. Nat Neurosci 2018
136
42

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
44
42


Brain-Machine Interface Control Algorithms.
Maryam M Shanechi. IEEE Trans Neural Syst Rehabil Eng 2017
26
42

A high performing brain-machine interface driven by low-frequency local field potentials alone and together with spikes.
Sergey D Stavisky, Jonathan C Kao, Paul Nuyujukian, Stephen I Ryu, Krishna V Shenoy. J Neural Eng 2015
66
42

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
10
60

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
10
60

Brain-machine interfaces from motor to mood.
Maryam M Shanechi. Nat Neurosci 2019
42
42

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
526
35

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
410
35

Neural population dynamics during reaching.
Mark M Churchland, John P Cunningham, Matthew T Kaufman, Justin D Foster, Paul Nuyujukian, Stephen I Ryu, Krishna V Shenoy. Nature 2012
599
35

Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials.
Arjun K Bansal, Wilson Truccolo, Carlos E Vargas-Irwin, John P Donoghue. J Neurophysiol 2012
117
35


Biomarkers and Stimulation Algorithms for Adaptive Brain Stimulation.
Kimberly B Hoang, Isaac R Cassar, Warren M Grill, Dennis A Turner. Front Neurosci 2017
39
35

Adaptive tracking of human ECoG network dynamics.
Parima Ahmadipour, Yuxiao Yang, Edward F Chang, Maryam M Shanechi. J Neural Eng 2021
8
62

Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification.
Omid G Sani, Hamidreza Abbaspourazad, Yan T Wong, Bijan Pesaran, Maryam M Shanechi. Nat Neurosci 2021
17
35

Likelihood methods for point processes with refractoriness.
Luca Citi, Demba Ba, Emery N Brown, Riccardo Barbieri. Neural Comput 2014
20
28

A closed-loop human simulator for investigating the role of feedback control in brain-machine interfaces.
John P Cunningham, Paul Nuyujukian, Vikash Gilja, Cindy A Chestek, Stephen I Ryu, Krishna V Shenoy. J Neurophysiol 2011
100
28

Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes.
Wilson Truccolo, Leigh R Hochberg, John P Donoghue. Nat Neurosci 2010
135
28

Modelling and analysis of local field potentials for studying the function of cortical circuits.
Gaute T Einevoll, Christoph Kayser, Nikos K Logothetis, Stefano Panzeri. Nat Rev Neurosci 2013
383
28

Brain-machine interfaces beyond neuroprosthetics.
Karen A Moxon, Guglielmo Foffani. Neuron 2015
55
28

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
47
28

Inference and Decoding of Motor Cortex Low-Dimensional Dynamics via Latent State-Space Models.
Mehdi Aghagolzadeh, Wilson Truccolo. IEEE Trans Neural Syst Rehabil Eng 2016
24
28

Subject-specific modulation of local field potential spectral power during brain-machine interface control in primates.
Kelvin So, Siddharth Dangi, Amy L Orsborn, Michael C Gastpar, Jose M Carmena. J Neural Eng 2014
49
28

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.
Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy, Maneesh Sahani. J Neurophysiol 2009
246
28


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
5
80

Inferring single-trial neural population dynamics using sequential auto-encoders.
Chethan Pandarinath, Daniel J O'Shea, Jasmine Collins, Rafal Jozefowicz, Sergey D Stavisky, Jonathan C Kao, Eric M Trautmann, Matthew T Kaufman, Stephen I Ryu, Leigh R Hochberg,[...]. Nat Methods 2018
142
28

Extrinsic and intrinsic dynamics in movement intermittency.
Damar Susilaradeya, Wei Xu, Thomas M Hall, Ferran Galán, Kai Alter, Andrew Jackson. Elife 2019
13
30

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
12
33

Design strategies for dynamic closed-loop optogenetic neurocontrol in vivo.
M F Bolus, A A Willats, C J Whitmire, C J Rozell, G B Stanley. J Neural Eng 2018
20
28

Closed-loop control of a fragile network: application to seizure-like dynamics of an epilepsy model.
Daniel Ehrens, Duluxan Sritharan, Sridevi V Sarma. Front Neurosci 2015
22
21

Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models.
Alberto Mazzoni, Henrik Lindén, Hermann Cuntz, Anders Lansner, Stefano Panzeri, Gaute T Einevoll. PLoS Comput Biol 2015
86
21

Inference of hand movements from local field potentials in monkey motor cortex.
Carsten Mehring, Jörn Rickert, Eilon Vaadia, Simone Cardosa de Oliveira, Ad Aertsen, Stefan Rotter. Nat Neurosci 2003
260
21

Single-unit activity, threshold crossings, and local field potentials in motor cortex differentially encode reach kinematics.
Sagi Perel, Patrick T Sadtler, Emily R Oby, Stephen I Ryu, Elizabeth C Tyler-Kabara, Aaron P Batista, Steven M Chase. J Neurophysiol 2015
30
21

Translating the brain-machine interface.
Nitish V Thakor. Sci Transl Med 2013
51
21

Dynamic analysis of neural encoding by point process adaptive filtering.
Uri T Eden, Loren M Frank, Riccardo Barbieri, Victor Solo, Emery N Brown. Neural Comput 2004
184
21

Neural decoding of hand motion using a linear state-space model with hidden states.
Wei Wu, Jayant E Kulkarni, Nicholas G Hatsopoulos, Liam Paninski. IEEE Trans Neural Syst Rehabil Eng 2009
36
21


Dynamic tracking of non-stationarity in human ECoG activity.
Yuxiao Yang, Edward F Chang, Maryam M Shanechi. Annu Int Conf IEEE Eng Med Biol Soc 2017
8
37


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.