A citation-based method for searching scientific literature

Han-Lin Hsieh, Maryam M Shanechi. PLoS Comput Biol 2018
Times Cited: 13







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



Times Cited
  Times     Co-cited
Similarity



Brain-Machine Interface Control Algorithms.
Maryam M Shanechi. IEEE Trans Neural Syst Rehabil Eng 2017
26
92

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
72
92

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
278
84


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
84


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
65
69

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
523
69

Likelihood methods for point processes with refractoriness.
Luca Citi, Demba Ba, Emery N Brown, Riccardo Barbieri. Neural Comput 2014
20
61

Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes.
Wilson Truccolo, Leigh R Hochberg, John P Donoghue. Nat Neurosci 2010
135
61

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
61

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

Estimating Multiscale Direct Causality Graphs in Neural Spike-Field Networks.
Chuanmeizhi Wang, Maryam M Shanechi. IEEE Trans Neural Syst Rehabil Eng 2019
10
80

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
80

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
88
53

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
53

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
53

Developing a personalized closed-loop controller of medically-induced coma in a rodent model.
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
14
53

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
131
53


Translating the brain-machine interface.
Nitish V Thakor. Sci Transl Med 2013
50
46

Brain-controlled interfaces: movement restoration with neural prosthetics.
Andrew B Schwartz, X Tracy Cui, Douglas J Weber, Daniel W Moran. Neuron 2006
364
46

Sensing with the motor cortex.
Nicholas G Hatsopoulos, Aaron J Suminski. Neuron 2011
92
46


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
46

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
381
46

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

Prediction of arm movement trajectories from ECoG-recordings in humans.
Tobias Pistohl, Tonio Ball, Andreas Schulze-Bonhage, Ad Aertsen, Carsten Mehring. J Neurosci Methods 2008
184
38

Review: Human Intracortical Recording and Neural Decoding for Brain-Computer Interfaces.
David M Brandman, Sydney S Cash, Leigh R Hochberg. IEEE Trans Neural Syst Rehabil Eng 2017
38
38

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
38

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
38

Modulation of neuronal interactions through neuronal synchronization.
Thilo Womelsdorf, Jan-Mathijs Schoffelen, Robert Oostenveld, Wolf Singer, Robert Desimone, Andreas K Engel, Pascal Fries. Science 2007
816
38

Estimating a state-space model from point process observations.
Anne C Smith, Emery N Brown. Neural Comput 2003
172
38

Utilizing movement synergies to improve decoding performance for a brain machine interface.
Yan T Wong, David Putrino, Adam Weiss, Bijan Pesaran. Annu Int Conf IEEE Eng Med Biol Soc 2013
10
50


Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
403
38

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
586
38

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
38

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
243
38

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
19
38

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
17
38

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
50


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
30

Optimizing the decoding of movement goals from local field potentials in macaque cortex.
David A Markowitz, Yan T Wong, Charles M Gray, Bijan Pesaran. J Neurosci 2011
67
30


Coherent neuronal ensembles are rapidly recruited when making a look-reach decision.
Yan T Wong, Margaret M Fabiszak, Yevgeny Novikov, Nathaniel D Daw, Bijan Pesaran. Nat Neurosci 2016
41
30


A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields.
Rahul Agarwal, Zhe Chen, Fabian Kloosterman, Matthew A Wilson, Sridevi V Sarma. Neural Comput 2016
9
44


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.