Key papers

• PHINN-EEG: Topological Time-Series Analysis of Dream-State EEG -- Dynamic Betti Curves for Dream Content Classification and Topology-Conditioned Neural Signal Synthesis (2026)
  Ren Takahashi et al.
  4.95
• CayleyR: Solving the TopSpin puzzle via cycle intersection (2026)
  Yuri Baramykov
  4.33
• MPP-GNN: Subject-Adaptive Community Detection for fMRI-Based Alzheimer's Disease Classification (2026)
  Yang Zhang et al.
  3.45
• Contravariance Theory: Strong Alignment for Minimal Solutions to Hard Tasks (2026)
  Dan Yamins et al.
  1.94
• metasignal: A Python Package for Comprehensive Metacognitive Analysis and Decision-Making (2026)
  Saurabh Ranjan et al.
  1.94
• Multi-Source Multi-View Graph Domain Adaptation with Hyperbolic Residual Encoding for Cross-Site MDD Identification from rs-fMRI (2026)
  Zhanpeng Zheng et al.
  1.94
• Seeing the imagined: a latent functional alignment in visual imagery decoding from fMRI data (2026)
  Fabrizio Spera et al.
  1.78
• Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks (2026)
  Ram\'on Nartallo-Kaluarachchi and Renaud Lambiotte and Alain Goriely
  1.67
• A Data-Driven Method to Map the Functional Organisation of Human Brain White Matter (2026)
  Yifei Sun et al.
  1.67
• Embedding of Low-Dimensional Sensory Dynamics in Recurrent Networks: Implications for the Geometry of Neural Representation (2026)
  Vikas N. O'Reilly-Shah et al.
  1.61
• MultiDiffNet: A Multi-Objective Diffusion Framework for Generalizable Brain Decoding (2025)
  Mengchun Zhang et al.
  1.50
• Scalable Diffusion Transformer for Conditional 4D fMRI Synthesis (2025)
  Jungwoo Seo et al.
  1.50
• Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer (2025)
  Roman Beliy et al.
  1.44
• Kuramoto Orientation Diffusion Models (2025)
  Yue Song et al.
  1.39
• Associative Memory and Generative Diffusion in the Zero-noise Limit (2025)
  Joshua Hess and Quaid Morris
  1.22
• Neural Langevin Machine: a local asymmetric learning rule can be creative (2025)
  Zhendong Yu and Weizhong Huang and Haiping Huang
  1.22
• Decomposing stimulus-specific sensory neural information via diffusion models (2025)
  Steeve Laquitaine et al.
  1.17
• Memorization to Generalization: Emergence of Diffusion Models from Associative Memory (2025)
  Bao Pham et al.
  1.17
• YARE-GAN: Yet Another Resting State EEG-GAN (2025)
  Yeganeh Farahzadi et al.
  1.06
• Information Processing by Neuron Populations in the Central Nervous System: A Theory of the Mathematical Structure of Data and Operations (2023)
  Martin N. P. Nilsson
  —
• Self-supervised learning of video representations from a child's perspective (2024)
  A. Emin Orhan et al.
  —
• Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GAN (2024)
  Rahul Mishra et al.
  —
• Mind-to-Image: Projecting Visual Mental Imagination of the Brain from fMRI (2024)
  Hugo Caselles-Dupr\'e et al.
  —
• Synthetic Brain Images: Bridging the Gap in Brain Mapping With Generative Adversarial Model (2024)
  Drici Mourad and Kazeem Oluwakemi Oseni
  —
• Reanimating Images using Neural Representations of Dynamic Stimuli (2024)
  Jacob Yeung et al.
  —
• Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning (2024)
  Shuqiang Wang et al.
  —
• Latent Diffusion for Neural Spiking Data (2024)
  Jaivardhan Kapoor et al.
  —
• Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes (2024)
  Jonathan D. McCart et al.
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• CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation (2024)
  Weiheng Yao et al.
  —
• NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models (2024)
  Chi-Sheng Chen
  —
• Synthesis and Perceptual Scaling of High Resolution Naturalistic Images Using Stable Diffusion (2024)
  Leonardo Pettini et al.
  —
• Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data (2024)
  Lorenzo Veronese et al.
  —
• An analytic theory of creativity in convolutional diffusion models (2024)
  Mason Kamb et al.
  —