Linear dynamical neural population models through nonlinear embeddings

26 May 2016

Papers citing "Linear dynamical neural population models through nonlinear embeddings"

20 / 20 papers shown

Title
Active learning of neural population dynamics using two-photon holographic optogenetics Andrew Wagenmaker Lu Mi Marton Rozsa Matthew S. Bull Karel Svoboda Kayvon Daie Matthew D. Golub Kevin Jamieson 77 0 0 03 Dec 2024
BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation Zhengrui Guo F. Zhou Wei Wu Qichen Sun Lishuang Feng Jinzhuo Wang Hao Chen 41 1 0 02 Oct 2024
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 DiffM SyDa 28 1 0 30 Jul 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families Joohwan Ko Kyurae Kim W. Kim Jacob R. Gardner BDL 33 2 0 19 Jan 2024
Mesoscopic modeling of hidden spiking neurons Shuqiao Wang Valentin Schmutz G. Bellec W. Gerstner 26 3 0 26 May 2022
Overcoming the Domain Gap in Neural Action Representations Semih Günel Florian Aymanns S. Honari Pavan Ramdya Pascal Fua 31 3 0 02 Dec 2021
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time Feng Zhu Andrew R. Sedler Harrison A. Grier Nauman Ahad Mark A. Davenport Matthew T. Kaufman Andrea Giovannucci C. Pandarinath 27 10 0 29 Oct 2021
Entropic Issues in Likelihood-Based OOD Detection Anthony L. Caterini G. Loaiza-Ganem OODD 24 15 0 22 Sep 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 50 87 0 09 Sep 2021
Representation learning for neural population activity with Neural Data Transformers Joel Ye C. Pandarinath AI4TS AI4CE 11 52 0 02 Aug 2021
An Efficient and Effective Second-Order Training Algorithm for LSTM-based Adaptive Learning Nuri Mert Vural Salih Ergüt Suleyman Serdar Kozat 16 12 0 22 Oct 2019
Particle Smoothing Variational Objectives A. Moretti Zizhao Wang Luhuan Wu Iddo Drori I. Pe’er 24 10 0 20 Sep 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders G. Loaiza-Ganem John P. Cunningham DRL 29 83 0 16 Jul 2019
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks Qi She Anqi Wu BDL 18 34 0 01 Jul 2019
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? David Barrett Ari S. Morcos Jakob H. Macke AI4CE 25 110 0 31 Oct 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 23 41 0 28 Aug 2018
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 35 82 0 29 May 2017
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 14 452 0 30 Sep 2016
LFADS - Latent Factor Analysis via Dynamical Systems David Sussillo Rafal Jozefowicz L. F. Abbott C. Pandarinath AI4CE 24 89 0 22 Aug 2016
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks Adam S. Charles Dong Yin Christopher Rozell GNN 33 20 0 26 May 2016