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The ability to record activities from hundreds of neurons simultaneously in the brain has placed an increasing demand for developing appropriate statistical techniques to analyze such data.
The hippocampus as a spatial map: preliminary evidence from unit activity in the freely-moving rat
John O’Keefe and Jonathan Dostrovsky · 1971
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Hippocampal eeg and behavior: change in amplitude and frequency of rsa (theta rhythm) associated with spontaneous and learned movement patterns in rats and cats
IQ Whishaw and C Hippocampal Vanderwolf · 1973
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Place units in the hippocampus of the freely moving rat
John O’Keefe · 1976
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On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex
Apostolos P Georgopoulos, John F Kalaska, Roberto Caminiti, and Joe T Massey · 1982
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Neuronal population coding of movement direction
Apostolos P Georgopoulos, Andrew B Schwartz, and Ronald E Kettner · 1986
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Primate motor cortex and free arm movements to visual targets in three-dimensional space. i. relations between single cell discharge and direction of movement
Andrew B Schwartz, Ronald E Kettner, and Apostolos P Georgopoulos · 1988
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Probability density estimation for the interpretation of neural population codes
Terence David Sanger · 1996
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Theta phase precession in hippocampal neuronal populations and the compression of temporal sequences
William E Skaggs, Bruce L McNaughton, Matthew A Wilson, and Carol A Barnes · 1996
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Parameter extraction from population codes: A critical assessment
Herman P Snippe · 1996
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A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells
Emery N Brown, Loren M Frank, Dengda Tang, Michael C Quirk, and Matthew A Wilson · 1998
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Theideal homunculus’: decoding neural population signals
Mike W Oram, Peter Földiák, David I Perrett, and Frank Sengpiel · 1998
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Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells
Kechen Zhang, Iris Ginzburg, Bruce L McNaughton, and Terrence J Sejnowski · 1998
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Theta oscillations in the hippocampus
György Buzsáki · 2002
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Independent rate and temporal coding in hippocampal pyramidal cells
John Huxter, Neil Burgess, and John O’Keefe · 2003
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Intensity versus identity coding in an olfactory system
Mark Stopfer, Vivek Jayaraman, and Gilles Laurent · 2003
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Local sensory cues and place cell directionality: additional evidence of prospective coding in the hippocampus
Francesco P Battaglia, Gary R Sutherland, and Bruce L McNaughton · 2004
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Superlinear population encoding of dynamic hand trajectory in primary motor cortex
Liam Paninski, Shy Shoham, Matthew R Fellows, Nicholas G Hatsopoulos, and John P Donoghue · 2004
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Optical imaging of neuronal populations during decision-making
Kevin L Briggman, Henry DI Abarbanel, and William B Kristan · 2005
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Transient dynamics versus fixed points in odor representations by locust antennal lobe projection neurons
Ofer Mazor and Gilles Laurent · 2005
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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, and Emery N Brown · 2005
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Encoding and decoding of overlapping odor sequences
Bede M Broome, Vivek Jayaraman, and Gilles Laurent · 2006
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A state-space analysis for reconstruction of goal-directed movements using neural signals
Lakshminarayan Srinivasan, Uri T Eden, Alan S Willsky, and Emery N Brown · 2006
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Hippocampal theta sequences
David J Foster and Matthew A Wilson · 2007
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Internally generated cell assembly sequences in the rat hippocampus
Eva Pastalkova, Vladimir Itskov, Asohan Amarasingham, and György Buzsáki · 2008
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Spatio-temporal correlations and visual signalling in a complete neuronal population
Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, EJ Chichilnisky, and Eero P Simoncelli · 2008
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Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
M Yu Byron, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy, and Maneesh Sahani · 2009
Cited alongside, same era.
Hippocampal replay of extended experience
Thomas J Davidson, Fabian Kloosterman, and Matthew A Wilson · 2009
Cited alongside, same era.
Neural decoding of hand motion using a linear state-space model with hidden states
Wei Wu, Jayant E Kulkarni, Nicholas G Hatsopoulos, and Liam Paninski · 2009
Cited alongside, same era.
Population decoding of motor cortical activity using a generalized linear model with hidden states
Vernon Lawhern, Wei Wu, Nicholas Hatsopoulos, and Liam Paninski · 2010
Cited alongside, same era.
Empirical models of spiking in neural populations
Jakob H Macke, Lars Buesing, John P Cunningham, M Yu Byron, Krishna V Shenoy, and Maneesh Sahani · 2011
Cited alongside, same era.
Elbo surgery: yet another way to carve up the variational evidence lower bound
Matthew D Hoffman and Matthew J Johnson · 2016
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Composing graphical models with neural networks for structured representations and fast inference
Matthew J Johnson, David K Duvenaud, Alex Wiltschko, Ryan P Adams, and Sandeep R Datta · 2016
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Demixed principal component analysis of neural population data
Dmitry Kobak, Wieland Brendel, Christos Constantinidis, Claudia E Feierstein, Adam Kepecs, Zachary F Mainen, Xue-Lian Qi, Ranulfo Romo, Naoshige Uchida, and Christian K Machens · 2016
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Alexander A Alemi, Ben Poole, Ian Fischer, Joshua V Dillon, Rif A Saurous, and Kevin Murphy · 2017
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beta-vae: Learning basic visual concepts with a constrained variational framework
Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner · 2017
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Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
Lars Buesing, Jakob H Macke, and Maneesh Sahani · 2012
Cited alongside, same era.
Neural population dynamics during reaching
Mark M Churchland, John P Cunningham, Matthew T Kaufman, Justin D Foster, Paul Nuyujukian, Stephen I Ryu, and Krishna V Shenoy · 2012
Cited alongside, same era.
Experience-dependent firing rate remapping generates directional selectivity in hippocampal place cells
Zaneta Navratilova, Lan T Hoang, C Daniela Schwindel, Masami Tatsuno, and Bruce L McNaughton · 2012
Cited alongside, same era.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Cited alongside, same era.
Context-dependent computation by recurrent dynamics in prefrontal cortex
Valerio Mante, David Sussillo, Krishna V Shenoy, and William T Newsome · 2013
Cited alongside, same era.
Cortical control of arm movements: a dynamical systems perspective
Krishna V Shenoy, Maneesh Sahani, and Mark M Churchland · 2013
Cited alongside, same era.
Neural dynamics of reaching following incorrect or absent motor preparation
K Cora Ames, Stephen I Ryu, and Krishna V Shenoy · 2014
Cited alongside, same era.
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Gaussian process based nonlinear latent structure discovery in multivariate spike train data
Anqi Wu, Nicholas A Roy, Stephen Keeley, and Jonathan W Pillow · 2017
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Yuan Zhao and Il Memming Park · 2017
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Understanding disentangling in b e t a beta -vae
Christopher P Burgess, Irina Higgins, Arka Pal, Loic Matthey, Nick Watters, Guillaume Desjardins, and Alexander Lerchner · 2018
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Isolating sources of disentanglement in variational autoencoders
Tian Qi Chen, Xuechen Li, Roger B Grosse, and David K Duvenaud · 2018
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Temporal alignment and latent gaussian process factor inference in population spike trains
Lea Duncker and Maneesh Sahani · 2018
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Challenging common assumptions in the unsupervised learning of disentangled representations
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, and Olivier Bachem · 2018
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Umap: Uniform manifold approximation and projection for dimension reduction
Leland McInnes, John Healy, and James Melville · 2018
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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, et al · 2018
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Unsupervised identification of the internal states that shape natural behavior
Adam J Calhoun, Jonathan W Pillow, and Mala Murthy · 2019
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Learning interpretable continuous-time models of latent stochastic dynamical systems
Lea Duncker, Gergo Bohner, Julien Boussard, and Maneesh Sahani · 2019
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Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
Mohammad Reza Keshtkaran and Chethan Pandarinath · 2019
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Variational autoencoders and nonlinear ica: A unifying framework
Ilyes Khemakhem, Diederik P Kingma, and Aapo Hyvärinen · 2019
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Analysis of neuronal ensemble activity reveals the pitfalls and shortcomings of rotation dynamics
Mikhail A Lebedev, Alexei Ossadtchi, Nil Adell Mill, Núria Armengol Urpí, Maria R Cervera, and Miguel AL Nicolelis · 2019
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Identifying through flows for recovering latent representations
Shen Li, Bryan Hooi, and Gim Hee Lee · 2019
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A zero-inflated gamma model for post-deconvolved calcium imaging traces
Xue-Xin Wei, Ding Zhou, Andres Grosmark, Zaki Ajabi, Fraser Sparks, Pengcheng Zhou, Mark Brandon, Attila Losonczy, and Liam Paninski · 2019
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The quest for interpretable models of neural population activity
Matthew R Whiteway and Daniel A Butts · 2019
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Long-term stability of cortical population dynamics underlying consistent behavior
Juan A Gallego, Matthew G Perich, Raeed H Chowdhury, Sara A Solla, and Lee E Miller · 2020
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Constant sub-second cycling between representations of possible futures in the hippocampus
Kenneth Kay, Jason E Chung, Marielena Sosa, Jonathan S Schor, Mattias P Karlsson, Margaret C Larkin, Daniel F Liu, and Loren M Frank · 2020
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Disentanglement by nonlinear ica with general incompressible-flow networks (gin)
Peter Sorrenson, Carsten Rother, and Ullrich Köthe · 2020
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