ArticleAdvances in neural information processing systems2021
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity.
Article in Advances in neural information processing systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Decodanda: a Python toolbox for best-practice decoding and geometric analysis of neural representations.bioRxiv : the preprint server for biology · 2026Article
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- Decoding multi-joint hand movements from brain signals by learning a synergy-based neural manifold.Patterns (New York, N.Y.) · 2025Article
- Representation Learning and Foundation Models for Electroencephalography Analyses: Current trends, fundamental insights, and future directions?IEEE signal processing magazine · 2025Article
- Shared-AE: Automatic Identification of Shared Subspaces in High-dimensional Neural and Behavioral Activity.... International Conference on Learning Representations · 2025Article
- The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineeringJournal of neural engineering · 2025Review
- Cross-Modal Representational Knowledge Distillation for Enhanced Spike-Informed LFP Modeling.Advances in neural information processing systems · 2025Article
- A high-performance brain-computer interface for finger decoding and quadcopter game control in an individual with paralysis.Nature medicine · 2025Article
- Article
- The speech neuroprosthesis.Nature reviews. Neuroscience · 2024Review
- Dynamical flexible inference of nonlinear latent factors and structures in neural population activity.Nature biomedical engineering · 2024Article
- Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links.NeuroImage · 2024Article
- Why the simplest explanation isn't always the best.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Predictive variational autoencoder for learning robust representations of time-series data.ArXiv · 2023Article
- Towards robust and generalizable representations of extracellular data using contrastive learning.Advances in neural information processing systems · 2023Article
- Learning low-dimensional generalizable natural features from retina using a U-net.Advances in neural information processing systems · 2022Article
- Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers.Advances in neural information processing systems · 2022Article
- Representation Learning for Dynamic Functional Connectivities via Variational Dynamic Graph Latent Variable Models.Entropy (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Meaningful and simplified representations of neural activity can yield insights into
Identifiers
36467015PMC9713686What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.