Brain Decoding

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 42 papers with code (118 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep learning-based electroencephalography analysis: a systematic review
  16 Jan 2019 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  To help the field progress, we provide a list of recommendations for future studies and we make our summary table of DL and EEG papers available and invite the community to contribute.
• Functional Magnetic Resonance Imaging data augmentation through conditional ICA
  11 Jul 2021 2 repositories listed
  Advances in computational cognitive neuroimaging research are related to the availability of large amounts of labeled brain imaging data, but such data are scarce and expensive to generate.
• Deep brain state classification of MEG data
  2 Jul 2020 2 repositories listed
  The experimental results of cross subject multi-class classification on the studied MEG dataset show that the inclusion of attention improves the generalization of the models across subjects.
• Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric Applications
  30 Mar 2025 1 repository listed
  Understanding how the brain's complex nonlinear dynamics give rise to cognitive function remains a central challenge in neuroscience.
• Diffusion Models for Computational Neuroimaging: A Survey
  10 Feb 2025 1 repository listed
  Computational neuroimaging involves analyzing brain images or signals to provide mechanistic insights and predictive tools for human cognition and behavior.
• SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments
  27 Jan 2025 1 repository listed
  A key obstacle to model generalisation is the degree of variability of inter-subject cortical organisation, which makes it difficult to align or compare cortical signals across participants.
• BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
  24 Jan 2025 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  To overcome these challenges, we introduce BrainGuard, a privacy-preserving collaborative training framework designed to enhance image reconstruction from multisubject fMRI data while safeguarding individual privacy.
• Teaching Wav2Vec2 the Language of the Brain
  16 Jan 2025 1 repository listed
  In contrast, labeled data and pre-trained models for the closely related task of speech recognition from audio are widely available.
• Decoding fMRI Data into Captions using Prefix Language Modeling
  5 Jan 2025 1 repository listed
  With the advancements in Large Language and Latent Diffusion models, brain decoding has achieved remarkable results in recent years.
• UniBrain: A Unified Model for Cross-Subject Brain Decoding
  27 Dec 2024 1 repository listed
  We validate our UniBrain on the brain decoding benchmark, achieving comparable performance to current state-of-the-art subject-specific models with extremely fewer parameters.
• Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream
  8 Nov 2024 1 repository listed
  When trained on large-scale object classification datasets, certain artificial neural network models begin to approximate core object recognition (COR) behaviors and neural response patterns in the primate visual…
• Toward Generalizing Visual Brain Decoding to Unseen Subjects
  18 Oct 2024 1 repository listed Syntology ran 6 of 10 samples · 4 unverified · 10 pointer-only (licence)
  Prior works typically focus on decoding brain activity of individuals based on the observation that different subjects exhibit different brain activities, while it remains unclear whether brain decoding can be…
• NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
  7 Oct 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Functional magnetic resonance imaging (fMRI) is an indispensable tool in modern neuroscience, providing a non-invasive window into whole-brain dynamics at millimeter-scale spatial resolution.
• Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imagery
  2 Aug 2024 1 repository listed
  Our DA-enhanced searchlight predicts imagery contents in a highly distributed set of brain regions, including the visual cortex and the frontoparietal cortex, thereby outperforming standard cross-domain classification…
• Spurious reconstruction from brain activity
  16 May 2024 1 repository listed
  We found poor performance when applying these methods to a different dataset designed to prevent category overlaps between training and test sets.
• MindBridge: A Cross-Subject Brain Decoding Framework
  11 Apr 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  Currently, brain decoding is confined to a per-subject-per-model paradigm, limiting its applicability to the same individual for whom the decoding model is trained.
• UMBRAE: Unified Multimodal Brain Decoding
  10 Apr 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  We address prevailing challenges of the brain-powered research, departing from the observation that the literature hardly recover accurate spatial information and require subject-specific models.
• S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention
  18 Mar 2024 1 repository listed
  Motivated by the challenge of seamless cross-dataset transfer in EEG signal processing, this article presents an exploratory study on the use of Joint Embedding Predictive Architectures (JEPAs).
• Data-Efficient Sleep Staging with Synthetic Time Series Pretraining
  13 Mar 2024 1 repository listed
  Analyzing electroencephalographic (EEG) time series can be challenging, especially with deep neural networks, due to the large variability among human subjects and often small datasets.
• See Through Their Minds: Learning Transferable Neural Representation from Cross-Subject fMRI
  11 Mar 2024 1 repository listed
  Our model integrates a high-level perception decoding pipeline and a pixel-wise reconstruction pipeline guided by high-level perceptions, simulating bottom-up and top-down processes in neuroscience.
• A Conversational Brain-Artificial Intelligence Interface
  22 Feb 2024 1 repository listed
  We introduce Brain-Artificial Intelligence Interfaces (BAIs) as a new class of Brain-Computer Interfaces (BCIs).
• Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy
  31 Dec 2023 1 repository listed
  This survey comprehensively examines the emerging field of AIGC-based Brain-conditional Multimodal Synthesis, termed AIGC-Brain, to delineate the current landscape and future directions.
• Brain-optimized inference improves reconstructions of fMRI brain activity
  12 Dec 2023 1 repository listed Syntology ran 1 of 5 samples · 4 unverified · 5 pointer-only (licence)
  At each iteration, we sample a small library of images from an image distribution (a diffusion model) conditioned on a seed reconstruction from the previous iteration.
• Lite-Mind: Towards Efficient and Robust Brain Representation Network
  6 Dec 2023 1 repository listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  The limited data availability and the low signal-to-noise ratio of fMRI signals lead to the challenging task of fMRI-to-image retrieval.
• Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion models
  8 Sep 2023 1 repository listed
  Additionally, we incorporated an image reconstruction mechanism based on pre-trained latent diffusion models, which allowed us to generate an estimate of the images which had elicited EEG activity.
• Memory Encoding Model
  2 Aug 2023 1 repository listed Syntology ran 9 of 10 samples · 1 unverified · 10 pointer-only (licence)
  Our ensemble model without memory input (61.
• JGAT: a joint spatio-temporal graph attention model for brain decoding
  3 Jun 2023 1 repository listed
  However, traditional approaches for integrating FC and SC overlook the dynamical variations, which stand a great chance to over-generalize the brain neural network.
• Structural Similarities Between Language Models and Neural Response Measurements
  2 Jun 2023 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  Human language processing is also opaque, but neural response measurements can provide (noisy) recordings of activation during listening or reading, from which we can extract similar representations of words and phrases.
• Second Sight: Using brain-optimized encoding models to align image distributions with human brain activity
  1 Jun 2023 1 repository listed
  This emphasis belies the fact that there is always a family of images that are equally compatible with any evoked brain activity pattern, and the fact that many image-generators are inherently stochastic and do not by…
• Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
  26 May 2023 1 repository listed
  The second phase tunes the feature learner to attend to neural activation patterns most informative for visual reconstruction with guidance from an image auto-encoder.

Syntology lines on 10 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.