A citation-based method for searching scientific literature

Anne C Smith, Emery N Brown. Neural Comput 2003
Times Cited: 157







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



Times Cited
  Times     Co-cited
Similarity


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
487
41

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
167
36


A new look at state-space models for neural data.
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, Shinsuke Koyama, Kamiar Rahnama Rad, Michael Vidne, Joshua Vogelstein, Wei Wu. J Comput Neurosci 2010
84
28

The time-rescaling theorem and its application to neural spike train data analysis.
Emery N Brown, Riccardo Barbieri, Valérie Ventura, Robert E Kass, Loren M Frank. Neural Comput 2002
251
22

Spatio-temporal correlations and visual signalling in a complete neuronal population.
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008
590
22

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
210
20

Dynamic analysis of learning in behavioral experiments.
Anne C Smith, Loren M Frank, Sylvia Wirth, Marianna Yanike, Dan Hu, Yasuo Kubota, Ann M Graybiel, Wendy A Suzuki, Emery N Brown. J Neurosci 2004
158
16


Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes.
Wilson Truccolo, Leigh R Hochberg, John P Donoghue. Nat Neurosci 2010
126
15

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
497
13

Multiple neural spike train data analysis: state-of-the-art and future challenges.
Emery N Brown, Robert E Kass, Partha P Mitra. Nat Neurosci 2004
374
12

Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
315
12

Construction of point process adaptive filter algorithms for neural systems using sequential Monte Carlo methods.
Ayla Ergün, Riccardo Barbieri, Uri T Eden, Matthew A Wilson, Emery N Brown. IEEE Trans Biomed Eng 2007
42
26

Recursive bayesian decoding of motor cortical signals by particle filtering.
A E Brockwell, A L Rojas, R E Kass. J Neurophysiol 2004
116
10

Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
522
10

Statistical models for neural encoding, decoding, and optimal stimulus design.
Liam Paninski, Jonathan Pillow, Jeremy Lewi. Prog Brain Res 2007
123
9

Analysis of between-trial and within-trial neural spiking dynamics.
Gabriela Czanner, Uri T Eden, Sylvia Wirth, Marianna Yanike, Wendy A Suzuki, Emery N Brown. J Neurophysiol 2008
64
14

Common-input models for multiple neural spike-train data.
Jayant E Kulkarni, Liam Paninski. Network 2007
58
15

Population decoding of motor cortical activity using a generalized linear model with hidden states.
Vernon Lawhern, Wei Wu, Nicholas Hatsopoulos, Liam Paninski. J Neurosci Methods 2010
38
23

Bayesian population decoding of motor cortical activity using a Kalman filter.
Wei Wu, Yun Gao, Elie Bienenstock, John P Donoghue, Michael J Black. Neural Comput 2006
213
9

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
38
23

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
228
9

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
34
23

Weak pairwise correlations imply strongly correlated network states in a neural population.
Elad Schneidman, Michael J Berry, Ronen Segev, William Bialek. Nature 2006
719
8

A state-space analysis for reconstruction of goal-directed movements using neural signals.
Lakshminarayan Srinivasan, Uri T Eden, Alan S Willsky, Emery N Brown. Neural Comput 2006
50
16

Fully integrated silicon probes for high-density recording of neural activity.
James J Jun, Nicholas A Steinmetz, Joshua H Siegle, Daniel J Denman, Marius Bauza, Brian Barbarits, Albert K Lee, Costas A Anastassiou, Alexandru Andrei, Çağatay Aydın,[...]. Nature 2017
451
8

A spike-train probability model.
R E Kass, V Ventura. Neural Comput 2001
118
7


Approximate Methods for State-Space Models.
Shinsuke Koyama, Lucia Castellanos Pérez-Bolde, Cosma Rohilla Shalizi, Robert E Kass. J Am Stat Assoc 2010
21
33

Statistical issues in the analysis of neuronal data.
Robert E Kass, Valérie Ventura, Emery N Brown. J Neurophysiol 2005
161
7

Modeling the impact of common noise inputs on the network activity of retinal ganglion cells.
Michael Vidne, Yashar Ahmadian, Jonathon Shlens, Jonathan W Pillow, Jayant Kulkarni, Alan M Litke, E J Chichilnisky, Eero Simoncelli, Liam Paninski. J Comput Neurosci 2012
55
12

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
102
7

Bayesian decoding using unsorted spikes in the rat hippocampus.
Fabian Kloosterman, Stuart P Layton, Zhe Chen, Matthew A Wilson. J Neurophysiol 2014
44
15

Decoding movement trajectories through a T-maze using point process filters applied to place field data from rat hippocampal region CA1.
Yifei Huang, Mark P Brandon, Amy L Griffin, Michael E Hasselmo, Uri T Eden. Neural Comput 2009
17
41

Learning stable, regularised latent models of neural population dynamics.
Lars Buesing, Jakob H Macke, Maneesh Sahani. Network 2012
18
38

Partitioning neuronal variability.
Robbe L T Goris, J Anthony Movshon, Eero P Simoncelli. Nat Neurosci 2014
226
7

Detecting neural-state transitions using hidden Markov models for motor cortical prostheses.
Caleb Kemere, Gopal Santhanam, Byron M Yu, Afsheen Afshar, Stephen I Ryu, Teresa H Meng, Krishna V Shenoy. J Neurophysiol 2008
79
7

Natural stimuli evoke dynamic sequences of states in sensory cortical ensembles.
Lauren M Jones, Alfredo Fontanini, Brian F Sadacca, Paul Miller, Donald B Katz. Proc Natl Acad Sci U S A 2007
143
6

Maximum likelihood identification of neural point process systems.
E S Chornoboy, L P Schramm, A F Karr. Biol Cybern 1988
68
8

Bayesian inference of functional connectivity and network structure from spikes.
Ian H Stevenson, James M Rebesco, Nicholas G Hatsopoulos, Zach Haga, Lee E Miller, Konrad P Körding. IEEE Trans Neural Syst Rehabil Eng 2009
59
10

Factor-analysis methods for higher-performance neural prostheses.
Gopal Santhanam, Byron M Yu, Vikash Gilja, Stephen I Ryu, Afsheen Afshar, Maneesh Sahani, Krishna V Shenoy. J Neurophysiol 2009
53
11

Instant neural control of a movement signal.
Mijail D Serruya, Nicholas G Hatsopoulos, Liam Paninski, Matthew R Fellows, John P Donoghue. Nature 2002
691
6

State-space algorithms for estimating spike rate functions.
Anne C Smith, Joao D Scalon, Sylvia Wirth, Marianna Yanike, Wendy A Suzuki, Emery N Brown. Comput Intell Neurosci 2010
11
54

Statistical inference for assessing functional connectivity of neuronal ensembles with sparse spiking data.
Zhe Chen, David F Putrino, Soumya Ghosh, Riccardo Barbieri, Emery N Brown. IEEE Trans Neural Syst Rehabil Eng 2011
28
21

Reach and grasp by people with tetraplegia using a neurally controlled robotic arm.
Leigh R Hochberg, Daniel Bacher, Beata Jarosiewicz, Nicolas Y Masse, John D Simeral, Joern Vogel, Sami Haddadin, Jie Liu, Sydney S Cash, Patrick van der Smagt,[...]. Nature 2012
926
6

A high-performance neural prosthesis enabled by control algorithm design.
Vikash Gilja, Paul Nuyujukian, Cindy A Chestek, John P Cunningham, Byron M Yu, Joline M Fan, Mark M Churchland, Matthew T Kaufman, Jonathan C Kao, Stephen I Ryu,[...]. Nat Neurosci 2012
222
6

Whole-brain functional imaging at cellular resolution using light-sheet microscopy.
Misha B Ahrens, Michael B Orger, Drew N Robson, Jennifer M Li, Philipp J Keller. Nat Methods 2013
588
6

Characterizing learning by simultaneous analysis of continuous and binary measures of performance.
M J Prerau, A C Smith, Uri T Eden, Y Kubota, M Yanike, W Suzuki, A M Graybiel, E N Brown. J Neurophysiol 2009
16
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.