{"total":15,"rows":[{"id":"2109.04463","title":"Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity","created":"2021-09-09","cited_by_count":60,"area":null},{"id":"2108.01210","title":"Representation learning for neural population activity with Neural Data Transformers","created":"2021-08-02","cited_by_count":50,"area":null},{"id":"2407.14668","title":"Towards a \"universal translator\" for neural dynamics at single-cell, single-spike resolution","created":"2024-07-19","cited_by_count":28,"area":null},{"id":"2111.13755","title":"A survey on multi-objective hyperparameter optimization algorithms for Machine Learning","created":"2021-11-23","cited_by_count":24,"area":null},{"id":"2206.02972","title":"Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics","created":"2022-06-07","cited_by_count":16,"area":null},{"id":"2309.01230","title":"lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems","created":"2023-09-03","cited_by_count":8,"area":null},{"id":"2412.17227","title":"Brain-to-Text Benchmark '24: Lessons Learned","created":"2024-12-23","cited_by_count":8,"area":null},{"id":"2507.08402","title":"SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding","created":"2025-07-11","cited_by_count":8,"area":null},{"id":"2111.00070","title":"Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time","created":"2021-10-29","cited_by_count":6,"area":null},{"id":"2304.06040","title":"Inferring Population Dynamics in Macaque Cortex","created":"2023-04-05","cited_by_count":1,"area":null},{"id":"2312.06932","title":"Predictive variational autoencoder for learning robust representations of time-series data","created":"2023-12-12","cited_by_count":1,"area":null},{"id":"2601.19963","title":"Cross-Session Decoding of Neural Spiking Data via Task-Conditioned Latent Alignment","created":"2026-01-27","cited_by_count":1,"area":null},{"id":"2507.11531","title":"Langevin Flows for Modeling Neural Latent Dynamics","created":"2025-07-15","cited_by_count":0,"area":null},{"id":"2603.05612","title":"Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior","created":"2026-03-05","cited_by_count":0,"area":null},{"id":"2609.27441","title":"Stable Neural Decoding Across Sessions via Task-Conditioned Latent Alignment for Brain-Machine Interfaces","created":"2026-09-23","cited_by_count":0,"area":null}],"next_cursor":null}