Design & UX

脑结构-功能耦合线性生成框架。从扩散加权成像(DWI)结构连接预测静息态fMRI功能连接，揭示整合枢纽和中介枢纽的机制，支持虚拟损伤实验。适用于脑连接组学、神经影像分析、结构-功能关系研究。触发词：结构功能耦合、脑连接组、结构连接、功能连接、整合枢纽、structure-function coupling、structural connectivity、functional connectivity、integrator hub、mediator hub。

Layer-wise Interactive Dual-Stream Network (LI-DSN) for EEG Motor Imagery decoding with cross-subject generalization, spatial-temporal dual-stream architecture, and layer-wise interactive fusion. Addresses the challenge of EEG signal variability across subjects through dual-stream processing and interactive fusion at each network layer. Use when: EEG motor imagery decoding, cross-subject EEG classification, dual-stream neural networks, layer-wise feature fusion, brain-computer interface class...

Hierarchical control design via approximate simulation relations (ε-gAAS). Enables abstraction-based controller synthesis for continuous-time nonlinear systems with formal error bounds and control refinement guarantees. Use when: (1) designing controllers for complex continuous-time systems via model abstraction, (2) needing formal guarantees that abstract controllers transfer to concrete systems, (3) working with simulation relations for control refinement, (4) building hierarchical control ...

Grounded world models in biological organisms and future embodied AI - arXiv:2607.13560 - A framework for understanding how biological intelligence builds grounded world models through interaction, with implications for embodied AI

脑动力学生成模型综述框架。整合计算神经科学、非线性动力学、数据驱动方法的生成模型方法论，涵盖不同组织尺度和抽象层次。适用于脑动力学建模、神经数据分析、科学机器学习。触发词：脑动力学、生成模型、神经动力学、动态系统模型、brain dynamics、generative model、neural dynamics、computational neuroscience、Dynamical systems。

**arXiv ID:** 2001.05065 **Authors:** Jake Gutierrez, Jacob Schrum **Published:** 2020-01-14T22:22:11Z **Abstract:** Generative Adversarial Networks (GANs) have demonstrated their ability to learn patterns in data and produce new exemplars similar to, but different from, their training set in several domains, including video games. However, GANs have a fixed output size, so creating levels of arbitrary size for a dungeon crawling game is difficult. GANs also have trouble encoding semantic req...

fMRI2GES: Dual brain decoding alignment framework for co-speech gesture reconstruction from fMRI signals. Maps brain responses to external stimuli and decodes gestural behavior through dual-alignment brain decoding. Activation: fMRI gesture reconstruction, brain-to-gesture decoding, fMRI2GES, co-speech gesture brain decoding, dual brain decoding alignment.

Federated Quantum Neural Network methodology for privacy-preserving medical image diagnosis. Combines federated learning with quantum neural networks for distributed medical imaging analysis without sharing raw patient data. Use when: federated quantum learning, privacy-preserving medical AI, distributed quantum ML for healthcare, FQPDR pattern.

Efficient fault-tolerant ancilla preparation for quantum BCH codes via cyclic symmetry. Two-stage approach using non-fault-tolerant preparation + entanglement distillation with cyclic symmetry exploitation. arXiv: 2605.19471.

EyeBrain methodology for classifying left and right brain lateralization activity using pupil diameter and fixation duration. Non-invasive cognitive state detection via eye-tracking. Triggers: eyebrain, brain lateralization, pupil diameter, fixation duration, eye-tracking, cognitive load.

Embodied Virtual Reality feedback methodology for continuous 3D motor imagery BCI decoding. First systematic investigation showing VR feedback elicits more decodable and generalizable neural representations than screen feedback. CNN-LSTM decoder achieves r=0.762 under VR vs r=0.672 screen. Use when: (1) Designing continuous BCIs for intuitive motor control, (2) Implementing VR-based neurorehabilitation systems, (3) Studying neural representation generalization across feedback modalities, (4) ...

Code-Modulated Motion Visual Evoked Potential (c-MVEP) methodology for brain-computer interfacing using motion stimulation instead of flickering. Use when: designing BCI paradigms, visual evoked potential stimulation, motion-based BCI, reducing visual fatigue in SSVEP/c-VEP systems, EEG-based BCI with pseudo-random sequences. Activation: c-MVEP, motion VEP BCI, code-modulated motion, visual evoked potential BCI, flicker-free BCI, SSVEP alternative, c-VEP alternative.

BCPNN (Bayesian Confidence Propagation Neural Network) native explainability framework. First XAI taxonomy for BCPNN, mapping architectural primitives to attribution, prototype, concept, counterfactual, and mechanistic explanations. Introduces 16 architecture-level explanation primitives (P1–P16) computed from quantities the model already maintains, plus 5 design-time Configuration-as- Explanation primitives (Config-P1 to Config-P5). Addresses EU AI Act compliance for brain-like neural networ...

Skill generated from arXiv paper 2607.19941: A Framework of User Experience Principles for Human-AI Agent Interaction in the Workplace

Optical neural networks using coherent transient dynamics in waveguide QED for all-optical neuromorphic computing

OmniNeuro multimodal HCI framework for explainable BCI feedback — integrates Physics (Energy), Chaos (Fractal Complexity), and Quantum-Inspired uncertainty modeling to transform BCI from silent decoder to transparent feedback partner. Use when designing brain-computer interfaces with interpretability, neurofeedback systems, BCI sonification, multimodal BCI feedback, or quantum-inspired uncertainty in neural decoding (arXiv: 2601.00843)

Hierarchical structure-aware document analysis system using LLMs. Parses documents into hierarchical trees preserving layouts, builds structure-aware semantic indices for filtering and question answering. Handles academic papers, technical manuals, financial reports. Activation: document analysis, hierarchical structure, LLM system, information extraction, document understanding.

Listening Forward: Next Patch Embedding Prediction Enables Scalable Audio Learners (arXiv: 2608.19863)

Thermocoherent framework for modeling information flow in neural matter. Heat flow couples to delocalized information flow carried by shared coherence. Use when: thermocoherent effects in neural systems, quantum cognition physical basis, relational resources in neural tissue (entanglement, discord, classical correlations), Mpemba-type thermal relaxation in cognition, cross-scale neural coordination, arXiv:2604.04069, quantum information flow in neural matter.

**arXiv ID:** 1807.00053 **Authors:** Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins **Published:** 2018-06-20T20:27:23Z **Abstract:** Feed-forward convolutional neural networks (CNNs) are currently state-of-the-art for object classification tasks such as ImageNet. Further, they are quantitatively accurate models of temporally-averaged responses of neurons in the primate brain's visual system. However, biological vis...

Programmable superconducting neuron with intrinsic in-memory computation and dual-timescale plasticity for ultra-efficient neuromorphic computing using Josephson junctions.

神经突触可塑性随机模型框架。基于STDP规则的突触权重演化数学模型，引入塑性核概念表示不同STDP规则，使用随机过程分析神经元-突触系统动力学。适用于计算神经科学、突触可塑性建模、STDP学习规则。触发词：突触可塑性、STDP、塑性核、突触权重、随机模型、synaptic plasticity、STDP、plasticity kernel、Hebbian learning。

STAMBRIDGE: Spectral-Temporal Amplitude-aware Mid-Feature Bridge for EEG Visual Decoding. Two-stage framework combining Spectral-Temporal Amplitude-aware Modulation (STAM) and Mid-Feature Semantic Bridge (MFSB) for zero-shot EEG-to-image retrieval and reconstruction. Achieves 34.50% Top-1 on THINGS-EEG. Activation: EEG visual decoding, EEG-to-image, zero-shot EEG retrieval, spectral-temporal modulation, brain-computer interface

Spiking neural network control framework based on the Free Energy Principle (FEP) and Active Inference. Neurons fire only when they reduce free energy of internal representation, achieving highly sparse activity with robust control. Matches performance of non-spiking frameworks while offering resilience against sensory noise, synaptic noise, delays, and neuron silencing. Use when designing spiking control systems, neuromorphic control algorithms, active inference with SNNs, energy-efficient r...