Title
Neural Encoding and Decoding at Scale Yizi Zhang Yanchen Wang Mehdi Azabou Alexandre Andre Zixuan Wang Hanrui Lyu International Brain Laboratory Eva L. Dyer Liam Paninski Cole Hurwitz AI4CE 34 0 0 11 Apr 2025
Modeling Neural Activity with Conditionally Linear Dynamical Systems Victor Geadah Amin Nejatbakhsh David Lipshutz Jonathan W. Pillow Alex H. Williams AI4CE 38 0 0 25 Feb 2025
Single-neuron deep generative model uncovers underlying physics of neuronal activity in Ca imaging data Jordi Abante Angelo Piga Berta Ros Clara F López-León Josep Canals Jordi Soriano SyDa 47 0 0 24 Jan 2025
Brain-to-Text Benchmark '24: Lessons Learned Francis R. Willett Jingyuan Li Trung Le Chaofei Fan Mingfei Chen ... Maxwell Kounga E. Kelly Buchanan D. Zoltowski Scott W. Linderman Jaimie M. Henderson 26 0 0 23 Dec 2024
BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation Zhengrui Guo F. Zhou Wei Yu Wu Qichen Sun Lishuang Feng Jinzhuo Wang Hao Chen 33 1 0 02 Oct 2024
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution Yizi Zhang Yanchen Wang Donato Jimenez-Beneto Zixuan Wang Mehdi Azabou ... Olivier Winter The International Brain Laboratory Eva L. Dyer Liam Paninski Cole Hurwitz MedIm AI4CE 31 10 0 19 Jul 2024
Latent Diffusion for Neural Spiking Data J. Kapoor Auguste Schulz Julius Vetter Felix Pei Richard Gao Jakob H. Macke DiffM 38 2 0 27 Jun 2024
Inferring stochastic low-rank recurrent neural networks from neural data Matthijs Pals A Erdem Sağtekin Felix Pei Manuel Gloeckler Jakob H Macke 36 6 0 24 Jun 2024
When predict can also explain: few-shot prediction to select better neural latents Kabir Dabholkar Omri Barak BDL 47 0 0 23 May 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling Matthew Dowling Yuan Zhao Il Memming Park BDL 30 5 0 03 Mar 2024
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions Weihan Li Chengrui Li Yule Wang Anqi Wu 20 1 0 05 Feb 2024
Predictive variational autoencoder for learning robust representations of time-series data Julia Huiming Wang Dexter Tsin Tatiana Engel CML OOD AI4TS 30 2 0 12 Dec 2023
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs James Hazelden Yuhan Helena Liu Eli Shlizerman E. Shea-Brown 34 2 0 17 Nov 2023
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics Lu Mi Trung Le Tianxing He Eli Shlizerman U. Sümbül 40 5 0 03 Nov 2023
A Unified, Scalable Framework for Neural Population Decoding Mehdi Azabou Vinam Arora Venkataramana Ganesh Ximeng Mao Santosh Nachimuthu Michael J. Mendelson Blake A. Richards M. Perich Guillaume Lajoie Eva L. Dyer HAI AI4TS 24 35 0 24 Oct 2023
Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data Rabia Gondur Usama Bin Sikandar Evan Schaffer Mikio C. Aoi Stephen L. Keeley DRL 16 9 0 04 Oct 2023
lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems Andrew R. Sedler C. Pandarinath 25 7 0 03 Sep 2023
Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data Cheol Jun Cho Edward F. Chang Gopala K. Anumanchipalli 40 6 0 12 Aug 2023
Graph Laplacian Learning with Exponential Family Noise Changhao Shi Gal Mishne 34 2 0 14 Jun 2023
Latent Dynamical Implicit Diffusion Processes Mohammadreza Rezaei DiffM 36 1 0 12 Jun 2023
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States Noga Mudrik Gal Mishne Adam S. Charles 33 1 0 07 Jun 2023
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains Matthew Dowling Yuan Zhao Il Memming Park 20 6 0 01 Jun 2023
Real-Time Variational Method for Learning Neural Trajectory and its Dynamics Matthew Dowling Yuan Zhao Il Memming Park BDL OffRL 21 6 0 18 May 2023
Recurrences reveal shared causal drivers of complex time series W. Gilpin CML AI4TS 32 6 0 31 Jan 2023
Expressive architectures enhance interpretability of dynamics-based neural population models Andrew R. Sedler Chris VerSteeg C. Pandarinath 34 10 0 07 Dec 2022
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles Martin Bjerke Lukas Schott Kristopher T. Jensen Claudia Battistin David A. Klindt Benjamin A. Dunn 22 7 0 06 Oct 2022
The Sensorium competition on predicting large-scale mouse primary visual cortex activity K. Willeke Paul G. Fahey Mohammad Ali Bashiri Laura Pede Max F. Burg ... Taliah Muhammad Artificial Intelligence Alexander S. Ecker Self-Organization R. University 8 31 0 17 Jun 2022
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers Ran Liu Mehdi Azabou M. Dabagia Jingyun Xiao Eva L. Dyer AI4CE 32 19 0 10 Jun 2022
STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer Trung Le Eli Shlizerman 25 22 0 09 Jun 2022
Learnable latent embeddings for joint behavioral and neural analysis Steffen Schneider Jin Hwa Lee Mackenzie W. Mathis 11 207 0 01 Apr 2022
Overcoming the Domain Gap in Neural Action Representations Semih Günel Florian Aymanns S. Honari Pavan Ramdya Pascal Fua 24 3 0 02 Dec 2021
Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model Rui Meng K. Bouchard AI4TS 16 2 0 25 Jun 2021