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1604.03053
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Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains
11 April 2016
Yuan Zhao
Il-Su Park
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Papers citing
"Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains"
25 / 25 papers shown
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes
Jonathan D. McCart
Andrew R. Sedler
Christopher Versteeg
Domenick M. Mifsud
Mattia Rigotti-Thompson
C. Pandarinath
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270
3
0
30 Jul 2024
Latent Diffusion for Neural Spiking Data
J. Kapoor
Auguste Schulz
Julius Vetter
Felix Pei
Richard Gao
Jakob H. Macke
DiffM
203
15
0
27 Jun 2024
When predict can also explain: few-shot prediction to select better neural latents
Kabir V. Dabholkar
Omri Barak
BDL
501
0
0
23 May 2024
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains
International Conference on Machine Learning (ICML), 2023
Matthew Dowling
Yuan Zhao
Il Memming Park
266
8
0
01 Jun 2023
Real-Time Variational Method for Learning Neural Trajectory and its Dynamics
International Conference on Learning Representations (ICLR), 2023
Matthew Dowling
Yuan Zhao
Il Memming Park
BDL
OffRL
269
8
0
18 May 2023
Structured Recognition for Generative Models with Explaining Away
Neural Information Processing Systems (NeurIPS), 2022
Changmin Yu
Hugo Soulat
Neil Burgess
M. Sahani
CML
BDL
452
3
0
12 Sep 2022
Compressed Predictive Information Coding
Rui Meng
Tianyi Luo
K. Bouchard
228
3
0
03 Mar 2022
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
Neural Information Processing Systems (NeurIPS), 2021
Feng Zhu
Andrew R. Sedler
Harrison A. Grier
Nauman Ahad
Mark A. Davenport
Matthew T. Kaufman
Andrea Giovannucci
C. Pandarinath
277
11
0
29 Oct 2021
Nonnegative spatial factorization
F. W. Townes
Barbara E. Engelhardt
181
12
0
12 Oct 2021
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
Felix Pei
Joel Ye
D. Zoltowski
Anqi Wu
Raeed H. Chowdhury
...
L. Miller
Jonathan W. Pillow
Il Memming Park
Eva L. Dyer
C. Pandarinath
607
119
0
09 Sep 2021
Representation learning for neural population activity with Neural Data Transformers
Joel Ye
C. Pandarinath
AI4TS
AI4CE
477
82
0
02 Aug 2021
Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model
Rui Meng
K. Bouchard
AI4TS
283
2
0
25 Jun 2021
Gaussian Process Convolutional Dictionary Learning
IEEE Signal Processing Letters (IEEE SPL), 2021
Andrew H. Song
Bahareh Tolooshams
Demba E. Ba
562
2
0
28 Mar 2021
Building population models for large-scale neural recordings: opportunities and pitfalls
Current Opinion in Neurobiology (Curr Opin Neurobiol), 2021
C. Hurwitz
N. Kudryashova
A. Onken
Matthias H Hennig
325
43
0
03 Feb 2021
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE
Ding Zhou
Xue-Xin Wei
DRL
475
102
0
09 Nov 2020
Point process models for sequence detection in high-dimensional neural spike trains
Neural Information Processing Systems (NeurIPS), 2020
Alex H. Williams
Anthony Degleris
Yixin Wang
Scott W. Linderman
AI4TS
168
33
0
10 Oct 2020
Unifying and generalizing models of neural dynamics during decision-making
D. Zoltowski
Jonathan W. Pillow
Scott W. Linderman
163
9
0
13 Jan 2020
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
Neural Information Processing Systems (NeurIPS), 2019
Mohammad Reza Keshtkaran
C. Pandarinath
292
42
0
21 Aug 2019
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
Qi She
Anqi Wu
BDL
173
37
0
01 Jul 2019
Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations
International Conference on Machine Learning (ICML), 2019
Stephen L. Keeley
D. Zoltowski
Yiyi Yu
Jacob L. Yates
S. L. Smith
Jonathan W. Pillow
252
24
0
07 Jun 2019
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling
Josue Nassar
Scott W. Linderman
M. Bugallo
Il-Su Park
AI4CE
368
83
0
29 Nov 2018
Variational online learning of neural dynamics
Yuan Zhao
Il Memming Park
BDL
OffRL
298
9
0
27 Jul 2017
LFADS - Latent Factor Analysis via Dynamical Systems
David Sussillo
Rafal Jozefowicz
L. F. Abbott
C. Pandarinath
AI4CE
361
104
0
22 Aug 2016
Linear dynamical neural population models through nonlinear embeddings
Yuanjun Gao
Evan Archer
Liam Paninski
John P. Cunningham
315
165
0
26 May 2016
Neuron's Eye View: Inferring Features of Complex Stimuli from Neural Responses
Xin Chen
Chen
J. Beck
John M. Pearson
147
3
0
04 Dec 2015
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