Expressive architectures enhance interpretability of dynamics-based neural population models

7 December 2022

Papers citing "Expressive architectures enhance interpretability of dynamics-based neural population models"

14 / 14 papers shown

Title
When predict can also explain: few-shot prediction to select better neural latents Kabir V. Dabholkar Omri Barak BDL 80 0 0 23 May 2024
Learnable latent embeddings for joint behavioral and neural analysis Steffen Schneider Jin Hwa Lee Mackenzie W. Mathis 54 217 0 01 Apr 2022
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders Joseph Bakarji Kathleen P. Champion J. Nathan Kutz Steven L. Brunton 78 84 0 13 Jan 2022
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems Jimmy T.H. Smith Scott W. Linderman David Sussillo 70 28 0 01 Nov 2021
Identifiable Deep Generative Models via Sparse Decoding Gemma E. Moran Dhanya Sridhar Yixin Wang David M. Blei BDL 50 46 0 20 Oct 2021
Chaos as an interpretable benchmark for forecasting and data-driven modelling W. Gilpin AI4TS 42 80 0 11 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 166 87 0 09 Sep 2021
Building population models for large-scale neural recordings: opportunities and pitfalls C. Hurwitz N. Kudryashova A. Onken Matthias H Hennig 30 39 0 03 Feb 2021
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 300 42,038 0 03 Dec 2019
Universality and individuality in neural dynamics across large populations of recurrent networks Niru Maheswaranathan Alex H. Williams Matthew D. Golub Surya Ganguli David Sussillo 56 143 0 19 Jul 2019
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics Niru Maheswaranathan Alex H. Williams Matthew D. Golub Surya Ganguli David Sussillo 45 78 0 25 Jun 2019
Tune: A Research Platform for Distributed Model Selection and Training Richard Liaw Eric Liang Robert Nishihara Philipp Moritz Joseph E. Gonzalez Ion Stoica 147 887 0 13 Jul 2018
LFADS - Latent Factor Analysis via Dynamical Systems David Sussillo Rafal Jozefowicz L. F. Abbott C. Pandarinath AI4CE 43 90 0 22 Aug 2016
Linear dynamical neural population models through nonlinear embeddings Yuanjun Gao Evan Archer Liam Paninski John P. Cunningham 57 155 0 26 May 2016