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09/03/2023
lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems
Latent factor analysis via dynamical systems (LFADS) is an RNN-based var...
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12/07/2022
Expressive architectures enhance interpretability of dynamics-based neural population models
Artificial neural networks that can recover latent dynamics from recorde...
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10/29/2021
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
Modern neural interfaces allow access to the activity of up to a million...
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09/09/2021
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
Advances in neural recording present increasing opportunities to study n...
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08/02/2021
Representation learning for neural population activity with Neural Data Transformers
Neural population activity is theorized to reflect an underlying dynamic...
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08/21/2019
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
Continuing advances in neural interfaces have enabled simultaneous monit...
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08/22/2016
