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Claude Skills by hiyenwong
github.com/hiyenwong9,934 skills5 installs19,223 views
- Arxiv 2608 20147 Petri Net Description Of Biological Neural CircuitPetri Net Description of Biological Neural Circuits for Fast Hardware Prototyping (arXiv: 2608.20147)Votes: 0GitHub stars: 3
- Arxiv 2608 20183 Exact Algebraic Computation Of Learning CoefficienExact Algebraic Computation of Learning Coefficients for Two-Dimensional Singular Models (arXiv: 2608.20183)Votes: 0GitHub stars: 3
- Arxiv 2608 20186 Decoding Silent Reading From Non Invasive EegDecoding silent reading from non-invasive EEG (arXiv: 2608.20186)Votes: 0GitHub stars: 3
- Arxiv 2608 20202 Memtrapbench Benchmarking Cognitive Traps In Llm MMemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use (arXiv: 2608.20202)Votes: 0GitHub stars: 3
- Arxiv 2608 20240 Quasar A Quantum Classical Neural Network For SarQUASAR: A Quantum-Classical Neural Network for SAR Satellite Physical-Layer Authentication (arXiv: 2608.20240)Votes: 0GitHub stars: 3
- Arxiv 2608 20322 A Comparison Between Ceiling Mounted Fmcw Ir Uwb AA comparison between ceiling-mounted FMCW, IR-UWB and Wi-Fi radar for in-bedroom human activity monitoring and sleep interruption detection (arXiv: 2608.20322)Votes: 0GitHub stars: 3
- Arxiv 2608 20326 Tcp Margin Controlled Confidence Estimation For Re$TCP_α$: Margin-Controlled Confidence estimation for reliable Music Information Retrieval (arXiv: 2608.20326)Votes: 0GitHub stars: 3
- Arxiv 2608 22786v1 Recog Reciprocal Co Evolution For Multimodal Graph**arXiv ID:** 2608.22786v1 **Authors:** Rui Xue, Tianfu Wu **URL:** http://arxiv.org/abs/2608.22786v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 26746v1 Faultlens Learning Compact Behavioral Test Suites**arXiv ID:** 2608.26746v1 **Authors:** Zeming Liu, Hang Lyu, Jingtao Zhang **URL:** http://arxiv.org/abs/2608.26746v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 30008v1 Local Connectivity Balance Shapes Population Dynam**arXiv ID:** 2608.30008v1 **Authors:** Shotaro Takasu, Richard Gast, Ann Kennedy **URL:** http://arxiv.org/abs/2608.30008v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 01055v1 Active Visual Semantics A Large Scale Meg And Eye**arXiv ID:** 2609.01055v1 **Authors:** Philip Sulewski, Carmen Amme, Peter König, Martin N. Hebart, Tim C. Kietzmann **URL:** http://arxiv.org/abs/2609.01055v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 01767v1 Slow Fast Brain Computer Interfaces Preventing Neu**arXiv ID:** 2609.01767v1 **Authors:** Aarthy Nagarajan **URL:** http://arxiv.org/abs/2609.01767v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 02345v1 Fungal Memory And Minimal Cognition**arXiv ID:** 2609.02345v1 **Authors:** Kristina Šekrst **URL:** http://arxiv.org/abs/2609.02345v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 02366v1 Ne R1 Enhancing Named Entity Recognition Model Via**arXiv ID:** 2609.02366v1 **Authors:** Meixuan Chen, Hehan Li, Ruizhi Zhao, Xin Lu, peizhi xu, Liwei Qian, LI Meifang, shuanglong li, Hanmeng Liu, Xin Pei, Yanbiao Ma **URL:** http://arxiv.org/abs/2609.02366v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 03987v1 High Order Triadic Functional Connectivity In The**arXiv ID:** 2609.03987v1 **Authors:** Qiang Li, Masoud Seraji, Yu-Ping Wang, Godfrey D Pearlson, Vince D Calhoun **URL:** http://arxiv.org/abs/2609.03987v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 08500v1 An Evidence Aware Framework For Eeg Microstate Ana**arXiv ID:** 2609.08500v1 **Authors:** Kaidong Wu, Haili Ye, Ptolemaios G Sarrigiannis, Daniel J Blackburn, Fei He **URL:** http://arxiv.org/abs/2609.08500v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 09054v1 Training Free Task Vectors For Llm Behavioral Cont**arXiv ID:** 2609.09054v1 **Authors:** Gabriel J. Perin, Lucas Boscaini, André Araujo, Nina S. T. Hirata **URL:** http://arxiv.org/abs/2609.09054v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 09776v1 Proof Carrying Cognition Closing The Verification**arXiv ID:** 2609.09776v1 **Authors:** Eshwar Reddy M, Sourav Karmakar **URL:** http://arxiv.org/abs/2609.09776v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 09882v1 Scored Vs Generated Readouts In Behavioral Languag**arXiv ID:** 2609.09882v1 **Authors:** Touchapon Kraisingkorn, Krittin Pachtrachai, Wachiravit Modecrua **URL:** http://arxiv.org/abs/2609.09882v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Atlasfree Brain Network Transformer**arXiv ID:** 2510.03306 **Authors:** Shuai Huang, Xuan Kan, James J. Lah, Deqiang Qiu **Published:** 2025-09-30T18:57:02Z **Abstract:** Current atlas-based approaches to brain network analysis rely heavily on standardized anatomical or connectivity-driven brain atlases. However, these fixed atlases often introduce significant limitations, such as spatial misalignment across individuals, functional heterogeneity within predefined regions, and atlas-selection biases, collectively undermining t...Votes: 0GitHub stars: 3
- Attachment Representations Interbrain SynchronyAttachment representations in early childhood as independent endogenous driver of interbrain synchrony during remote cooperation. Novel Remote Partner-Belief Manipulation paradigm isolates attachment representations by manipulating partner-belief. EEG synchrony concentrated at P4 channel (right TPJ). Activation: attachment, interbrain synchrony, EEG hyperscanning, child-adult interaction, attachment representations, social neuroscience, partner-belief manipulation, early childhood, mother-chi...Votes: 0GitHub stars: 3
- Auditing Visualizations Transparency Methods Struggle To Detect Anomalous Behavior**arXiv ID:** 2206.13498 **Authors:** Jean-Stanislas Denain, Jacob Steinhardt **Published:** 2022-06-27T17:59:08Z **Abstract:** Model visualizations provide information that outputs alone might miss. But can we trust that model visualizations reflect model behavior? For instance, can they diagnose abnormal behavior such as planted backdoors or overregularization? To evaluate visualization methods, we test whether they assign different visualizations to anomalously trained models and normal mo...Votes: 0GitHub stars: 3
- Autonomous Agency Scale Behavioral Framework Measuring Self Directed Behavior Ai SysteSkill derived from arXiv:2607.17947 - The Autonomous Agency Scale: A Behavioral Framework for Measuring Self-Directed Behavior in AI SysteVotes: 0GitHub stars: 3
- Autoqd Automatic Discovery Of Diverse Behaviors With Qualitydiversity Optimization**arXiv ID:** 2506.05634 **Authors:** Saeed Hedayatian, Stefanos Nikolaidis **Published:** 2025-06-05T23:34:53Z **Abstract:** Quality-Diversity (QD) algorithms have shown remarkable success in discovering diverse, high-performing solutions, but rely heavily on hand-crafted behavioral descriptors that constrain exploration to predefined notions of diversity. Leveraging the equivalence between policies and occupancy measures, we present a theoretically grounded approach to automatically generat...Votes: 0GitHub stars: 3
- Bag Of Waves Eeg BiomarkersInterpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes. Use when analyzing EEG data in low-data scenarios, needing interpretable biomarkers, or working with clinical EEG classification. Activation: bag-of-waves, EEG biomarkers, interpretable EEG, waveform dictionaries, low-data EEGVotes: 0GitHub stars: 3
- Baspro A Balanced Script Producer For Speech Corpus Collection Based On The Genetic Algorithm**arXiv ID:** 2301.04120 **Authors:** Yu-Wen Chen, Hsin-Min Wang, Yu Tsao **Published:** 2022-12-11T02:05:30Z **Abstract:** The performance of speech-processing models is heavily influenced by the speech corpus that is used for training and evaluation. In this study, we propose BAlanced Script PROducer (BASPRO) system, which can automatically construct a phonetically balanced and rich set of Chinese sentences for collecting Mandarin Chinese speech data. First, we used pretrained natural langu...Votes: 0GitHub stars: 3
- Bci Jelly Integrated EcosystemBCIJelly ecosystem for BCI research and deployment.Votes: 0GitHub stars: 3
- Beast3d Animal Behavioral Neural EncodingBEAST3D方法论：基于3D Gaussian splatting的自监督动物行为分析和神经编码框架。从多视角视频学习3D表征，支持新颖视角合成、姿态估计和神经编码。Activation: BEAST3D, 3D Gaussian splatting, animal behavior, neural encoding, multi-view video, 视觉神经科学.Votes: 0GitHub stars: 3
- Beast3d Gaussian Splatting BehaviorBEAST3D: Self-supervised 3D animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting. Vision transformer predicts 3D Gaussian splats for differentiable rendering with simultaneous animal-background segmentation. Works with as few as 4 calibrated views.Votes: 0GitHub stars: 3
- Behaviorvlm Quantum BehavioralBehaviorVLM methodology - unified finetuning-free behavioral understanding using VLMs with quantum-dot-grounded pose estimation and LLM-based behavioral reasoningVotes: 0GitHub stars: 3
- Beyond Attention Toward Machines With Intrinsic Higher Mental States**arXiv ID:** 2505.06257 **Authors:** Ahsan Adeel **Published:** 2025-05-02T14:31:10Z **Abstract:** Attending to what is relevant is fundamental to both the mammalian brain and modern machine learning models such as Transformers. Yet, determining relevance remains a core challenge, traditionally offloaded to learning algorithms like backpropagation. Inspired by recent cellular neurobiological evidence linking neocortical pyramidal cells to distinct mental states, this work shows how models (e...Votes: 0GitHub stars: 3
- Beyond Temporal Pooling Recurrence And Temporal Convolutions For Gesture Recognition In Video**arXiv ID:** 1506.01911 **Authors:** Lionel Pigou, Aäron van den Oord, Sander Dieleman, Mieke Van Herreweghe, Joni Dambre **Published:** 2015-06-05T13:43:01Z **Abstract:** Recent studies have demonstrated the power of recurrent neural networks for machine translation, image captioning and speech recognition. For the task of capturing temporal structure in video, however, there still remain numerous open research questions. Current research suggests using a simple temporal feature pooling str...Votes: 0GitHub stars: 3
- Bilinear Gating Motor Primitives Dendritic ComputationBilinear gating methodology linking dendritic coincidence detection to motor primitive encoding. Burst fraction encodes goal information selectively, bilinear gate G(g)·Y(s) enables zero-shot generalization in RL agents. Activation: bilinear gating, motor primitives, dendritic computation, burst fraction, goal-directed adaptation, coincidence detection, motor cortex, reinforcement learning agent.Votes: 0GitHub stars: 3
- Boltzmann AttentionBoltzmann Attention methodology — energy-based generalization of attention using interacting Ising models with learnable pairwise couplings. Opens path to quantum annealing-based training.Votes: 0GitHub stars: 3
- Boosting Brain To Image Tribe V2Novel approach to boosting brain-to-image decoding by augmenting small fMRI datasets with synthetic data generated by TRIBE v2, a large encoding model pretrained on 1000+ hours of fMRI responses to video, audio, and language. Achieves up to 68% improvement in Top-10 image-retrieval accuracy and enables zero-shot brain-to-image decoding.Votes: 0GitHub stars: 3
- Brain Foundation Model Variance AllocationBrain foundation models (BFMs) variance allocation problem methodology — third-order statistics (co-skewness) predict cognition where billion-parameter models fail.Votes: 0GitHub stars: 3
- Brain Prompt Injection Bci Llm SecurityBrain-Prompt Injection security audit framework for BCI-LLM agents with route-safety audit contract, C3 decomposition, and split-conformal calibrationVotes: 0GitHub stars: 3
- Brainagent Agentic Llm Brain NetworkBrainAgent agentic LLM framework for knowledge-enhanced brain network analysis. Reformulates connectome classification as iterative topology-aware understanding, external retrieval, reasoning, and reflection. Use when analyzing brain networks with LLMs for interpretable, knowledge-grounded neuroscience research.Votes: 0GitHub stars: 3
- Braindyn Sheaf Neural OdeBrainDyn: A Sheaf Neural ODE framework for modeling continuous-time brain dynamics on structured graphs. Combines LSTM stalks with sheaf Laplacian message passing and neural ODE evolution. Apply when: brain dynamics modeling, fMRI/EEG forecasting, generative brain models, neural ODEs, sheaf theory, brain graph networks, perturbation prediction, synthetic brain data. Keywords: sheaf neural ODE, brain dynamics, fMRI modeling, EEG forecasting, brain graphs, sheaf Laplacian, neural ODE, brain reg...Votes: 0GitHub stars: 3
- Brainmodel Evaluations Need The Neuroai Turing Test**arXiv ID:** 2502.16238 **Authors:** Jenelle Feather, Meenakshi Khosla, N. Apurva Ratan Murty, Aran Nayebi **Published:** 2025-02-22T14:16:28Z **Abstract:** What makes an artificial system a good model of intelligence? The classical test proposed by Alan Turing focuses on behavior, requiring that an artificial agent's behavior be indistinguishable from that of a human. While behavioral similarity provides a strong starting point, two systems with very different internal representations can p...Votes: 0GitHub stars: 3
- Bridging Models To Defend A Populationbased Strategy For Robust Adversarial Defense**arXiv ID:** 2303.10225 **Authors:** Ren Wang, Yuxuan Li, Can Chen, Dakuo Wang, Jinjun Xiong, Pin-Yu Chen, Sijia Liu, Mohammad Shahidehpour, Alfred Hero **Published:** 2023-03-17T19:49:10Z **Abstract:** Adversarial robustness is a critical measure of a neural network's ability to withstand adversarial attacks at inference time. While robust training techniques have improved defenses against individual $\ell_p$-norm attacks (e.g., $\ell_2$ or $\ell_\infty$), models remain vulnerable to divers...Votes: 0GitHub stars: 3
- Brns An Archiveless Approach To Novelty Search**arXiv ID:** 2104.03936 **Authors:** Achkan Salehi, Alexandre Coninx, Stephane Doncieux **Published:** 2021-04-08T17:31:34Z **Abstract:** As open-ended learning based on divergent search algorithms such as Novelty Search (NS) draws more and more attention from the research community, it is natural to expect that its application to increasingly complex real-world problems will require the exploration to operate in higher dimensional Behavior Spaces which will not necessarily be Euclidean. Nov...Votes: 0GitHub stars: 3
- Building Artificial Neural Circuits For Domaingeneral Cognition A Primer On Braininspired Systemslevel Architecture**arXiv ID:** 2303.13651 **Authors:** Jascha Achterberg, Danyal Akarca, Moataz Assem, Moritz Heimbach, Duncan E. Astle, John Duncan **Published:** 2023-03-21T18:36:17Z **Abstract:** There is a concerted effort to build domain-general artificial intelligence in the form of universal neural network models with sufficient computational flexibility to solve a wide variety of cognitive tasks but without requiring fine-tuning on individual problem spaces and domains. To do this, models need appropr...Votes: 0GitHub stars: 3
- Building Machines That Learn And Think Like People**arXiv ID:** 1604.00289 **Authors:** Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, Samuel J. Gershman **Published:** 2016-04-01T15:37:57Z **Abstract:** Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats humans in some respect...Votes: 0GitHub stars: 3
- Bus Brain Inspired Self Reflection VlmBrain-Inspired Unsupervised Self-Reflection (BUS) framework for enhancing VLM reasoning without labeled data. Uses neuroscience-backed backward prediction to enable self-verification on unlabeled data.Votes: 0GitHub stars: 3
- Canns Toolkit Attractor NetworksCANNs toolkit for continuous attractor neural network research - unified Python/Rust/PySide6 framework for modeling spatial navigation, grid cells, head-direction cells, and attractor dynamics analysis. Activation: CANNs toolkit, continuous attractor neural networks, BrainPy JAX, grid cell simulation, head-direction cells, place cells, path integration, persistent homology attractor, Rust neural simulation, PySide6 neuroscience, anticipative tracking, theta sweepVotes: 0GitHub stars: 3
- Canns Toolkit Attractor NetworksComprehensive open-source toolkit unifying continuous attractor neural network (CANN) research workflow. Three co-designed components (Python/Rust/GUI) for 1D/2D attractor modeling, spike-frequency adaptation, grid cells, path integration, and persistent homology-based attractor detection in neural recordings.Votes: 0GitHub stars: 3
- Carve Content Aware RecurrentCARVE (Content-Aware Recurrent with Value Efficiency) methodology — content-aware gating for recurrent models that resolves memory-blind gating, value-axis waste, and enables WY-form chunk-parallel training.Votes: 0GitHub stars: 3
- Chasmbrain Mamba Brain ReconstructionCHASMBrain - Hierarchical Mamba architecture for image-to-fMRI brain reconstruction with coarse-to-fine strategy. Use when building brain encoding models, visual cortex modeling, or implementing Mamba-based neural decoding systems. Separates global semantic (CLS) and local spatial (patch) processing streams for anatomically-specialized predictions.Votes: 0GitHub stars: 3
- Chronic Stress Ei BalanceComputational modeling methodology for chronic stress effects on prefrontal working memory networks via excitatory-inhibitory (E/I) balance perturbation. Use when modeling stress-induced cognitive dysfunction, E/I ratio alterations, or prefrontal cortex network dynamics under chronic perturbation.Votes: 0GitHub stars: 3