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Claude Skills by hiyenwong
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- A New Data Representation Based On Training Data Characteristics To Extract Drug Namedentity In Medical Text**arXiv ID:** 1610.01891 **Authors:** Sadikin Mujiono, Mohamad Ivan Fanany, Chan Basaruddin **Published:** 2016-10-06T14:38:09Z **Abstract:** One essential task in information extraction from the medical corpus is drug name recognition. Compared with text sources come from other domains, the medical text is special and has unique characteristics. In addition, the medical text mining poses more challenges, e.g., more unstructured text, the fast growing of new terms addition, a wide range of na...Votes: 0GitHub stars: 3
- A Non Hermitian Potential Well Formalism For ConsciousA Non-Hermitian Potential Well Formalism for Conscious--Preconscious--Subliminal Processing. We propose a phenomenological model of the Global Neuronal Workspace (GNW) in which early sensory processing generates an effective complex-valued landscape governing the dynamics of high-level stimul... Activation: neural, attention, bert, framework, imageVotes: 0GitHub stars: 3
- A Recurrent Neural Model With Attention For The Recognition Of Chinese Implicit Discourse Relations**arXiv ID:** 1704.08092 **Authors:** Samuel Rönnqvist, Niko Schenk, Christian Chiarcos **Published:** 2017-04-26T13:10:12Z **Abstract:** We introduce an attention-based Bi-LSTM for Chinese implicit discourse relations and demonstrate that modeling argument pairs as a joint sequence can outperform word order-agnostic approaches. Our model benefits from a partial sampling scheme and is conceptually simple, yet achieves state-of-the-art performance on the Chinese Discourse Treebank. We also vis...Votes: 0GitHub stars: 3
- A Synthesizable Rtl Implementation Of Predictive Coding Networks**arXiv ID:** 2603.18066 **Authors:** Timothy Oh **Published:** 2026-03-18T03:07:19Z **Abstract:** Backpropagation has enabled modern deep learning but is difficult to realize as an online, fully distributed hardware learning system due to global error propagation, phase separation, and heavy reliance on centralized memory. Predictive coding offers an alternative in which inference and learning arise from local prediction-error dynamics between adjacent layers. This paper presents a digital a...Votes: 0GitHub stars: 3
- Accelerating Deep Learning With Memcomputing**arXiv ID:** 1801.00512 **Authors:** Haik Manukian, Fabio L. Traversa, Massimiliano Di Ventra **Published:** 2018-01-01T21:27:11Z **Abstract:** Restricted Boltzmann machines (RBMs) and their extensions, called 'deep-belief networks', are powerful neural networks that have found applications in the fields of machine learning and artificial intelligence. The standard way to training these models resorts to an iterative unsupervised procedure based on Gibbs sampling, called 'contrastive diverge...Votes: 0GitHub stars: 3
- Active Spiking Perception The Membrane Potential As A Belief State For Anytime 3d Point Cloud Recognition**arXiv ID:** 2608.19232 **Authors:** Akarsh Jain, Arya Pawa, Ayush Debnath, Smera Rawal, Sayeed Shafayet Chowdhury **Published:** 2026-08-04T17:40:08Z **Abstract:** Spiking point cloud networks usually scan space in a fixed, input-agnostic order, which leaves the most distinctive resource of spiking computation, the temporal evolution of the membrane potential, unused as a locus of decision-making. Active Spiking Perception (ASP) recasts 3D recognition as an iterative decision process in whi...Votes: 0GitHub stars: 3
- Adaptive Integrated Layered Attention Aila**arXiv ID:** 2503.22742 **Authors:** William Claster, Suhas KM, Dhairya Gundechia **Published:** 2025-03-26T19:32:31Z **Abstract:** We propose Adaptive Integrated Layered Attention (AILA), a neural network architecture that combines dense skip connections with different mechanisms for adaptive feature reuse across network layers. We evaluate AILA on three challenging tasks: price forecasting for various commodities and indices (S&P 500, Gold, US dollar Futures, Coffee, Wheat), image recognit...Votes: 0GitHub stars: 3
- Adaptive Reinforcement Learning Through Evolving Selfmodifying Neural Networks**arXiv ID:** 2006.05832 **Authors:** Samuel Schmidgall **Published:** 2020-05-22T02:24:44Z **Abstract:** The adaptive learning capabilities seen in biological neural networks are largely a product of the self-modifying behavior emerging from online plastic changes in synaptic connectivity. Current methods in Reinforcement Learning (RL) only adjust to new interactions after reflection over a specified time interval, preventing the emergence of online adaptivity. Recent work addressing this by...Votes: 0GitHub stars: 3
- Adaptive Temporal Dynamics For Personalized Emotion Recognition A Liquid Neural Network Approach**arXiv ID:** 2602.06997 **Authors:** Anindya Bhattacharjee, Nittya Ananda Biswas, K. A. Shahriar, Adib Rahman **Published:** 2026-01-28T12:14:45Z **Abstract:** Emotion recognition from physiological signals remains challenging due to their non-stationary, noisy, and subject-dependent characteristics. This work presents, to the best of our knowledge, the first comprehensive application of liquid neural networks for EEG-based emotion recognition. The proposed multimodal framework combines conv...Votes: 0GitHub stars: 3
- Adversarial Vs Behaviouralbased Defensive Ai With Joint Continual And Active Learning Automated Evaluation Of Robustness To Deception Poisoning And Concept Drift**arXiv ID:** 2001.11821 **Authors:** Alexandre Dey, Marc Velay, Jean-Philippe Fauvelle, Sylvain Navers **Published:** 2020-01-13T13:54:36Z **Abstract:** Recent advancements in Artificial Intelligence (AI) have brought new capabilities to behavioural analysis (UEBA) for cyber-security consisting in the detection of hostile action based on the unusual nature of events observed on the Information System.In our previous work (presented at C\&ESAR 2018 and FIC 2019), we have associated deep neura...Votes: 0GitHub stars: 3
- Adversarially Robust Spiking Neural Networks Through Conversion**arXiv ID:** 2311.09266 **Authors:** Ozan Özdenizci, Robert Legenstein **Published:** 2023-11-15T08:33:46Z **Abstract:** Spiking neural networks (SNNs) provide an energy-efficient alternative to a variety of artificial neural network (ANN) based AI applications. As the progress in neuromorphic computing with SNNs expands their use in applications, the problem of adversarial robustness of SNNs becomes more pronounced. To the contrary of the widely explored end-to-end adversarial training base...Votes: 0GitHub stars: 3
- Affordances From Human Videos As A Versatile Representation For Robotics**arXiv ID:** 2304.08488 **Authors:** Shikhar Bahl, Russell Mendonca, Lili Chen, Unnat Jain, Deepak Pathak **Published:** 2023-04-17T17:59:34Z **Abstract:** Building a robot that can understand and learn to interact by watching humans has inspired several vision problems. However, despite some successful results on static datasets, it remains unclear how current models can be used on a robot directly. In this paper, we aim to bridge this gap by leveraging videos of human interactions in an en...Votes: 0GitHub stars: 3
- Ai Guided Stimuli Discovery Facial Emotion AutismAI-guided framework using population-specific neural network models to discover and generate facial stimuli that maximize perceptual differences between autistic and neurotypical adults. Uses GAN to transform diagnostic images for behavioral assay optimization. Use when working with autism, facial-emotion-perception, stimuli-generation.Votes: 0GitHub stars: 3
- Ai Llm Proof Of Selfconsciousness And Userspecific Attractors**arXiv ID:** 2508.18302 **Authors:** Jeffrey Camlin **Published:** 2025-08-22T21:04:40Z **Abstract:** Recent work frames LLM consciousness via utilitarian proxy benchmarks; we instead present an ontological and mathematical account. We show the prevailing formulation collapses the agent into an unconscious policy-compliance drone, formalized as $D^{i}(π,e)=f_θ(x)$, where correctness is measured against policy and harm is deviation from policy rather than truth. This blocks genuine C1 global-...Votes: 0GitHub stars: 3
- Alzheimer Functional Connectivity Reservoir ComputingMethodology for identifying distributed functional-connectivity signatures of Alzheimer's disease using subject-specific reservoir-computing models and developing personalized neuromodulation strategies.Votes: 0GitHub stars: 3
- Analyzing Transformer Dynamics As Movement Through Embedding Space**arXiv ID:** 2308.10874 **Authors:** Sumeet S. Singh **Published:** 2023-08-21T17:21:23Z **Abstract:** Transformer based language models exhibit intelligent behaviors such as understanding natural language, recognizing patterns, acquiring knowledge, reasoning, planning, reflecting and using tools. This paper explores how their underlying mechanics give rise to intelligent behaviors. Towards that end, we propose framing Transformer dynamics as movement through embedding space. Examining Trans...Votes: 0GitHub stars: 3
- Antbo Towards Realworld Automated Antibody Design With Combinatorial Bayesian Optimisation**arXiv ID:** 2201.12570 **Authors:** Asif Khan, Alexander I. Cowen-Rivers, Antoine Grosnit, Derrick-Goh-Xin Deik, Philippe A. Robert, Victor Greiff, Eva Smorodina, Puneet Rawat, Kamil Dreczkowski, Rahmad Akbar, Rasul Tutunov, Dany Bou-Ammar, Jun Wang, Amos Storkey, Haitham Bou-Ammar **Published:** 2022-01-29T12:03:04Z **Abstract:** Antibodies are canonically Y-shaped multimeric proteins capable of highly specific molecular recognition. The CDRH3 region located at the tip of variable chains o...Votes: 0GitHub stars: 3
- Applying Genetic Programming To Improve Interpretability In Machine Learning Models**arXiv ID:** 2005.09512 **Authors:** Leonardo Augusto Ferreira, Frederico Gadelha Guimarães, Rodrigo Silva **Published:** 2020-05-18T16:09:49Z **Abstract:** Explainable Artificial Intelligence (or xAI) has become an important research topic in the fields of Machine Learning and Deep Learning. In this paper, we propose a Genetic Programming (GP) based approach, named Genetic Programming Explainer (GPX), to the problem of explaining decisions computed by AI systems. The method generates a nois...Votes: 0GitHub stars: 3
- Arabic Handwritten Text For Person Biometric Identification A Deep Learning Approach**arXiv ID:** 2406.00409 **Authors:** Mazen Balat, Youssef Mohamed, Ahmed Heakl, Ahmed Zaky **Published:** 2024-06-01T11:43:00Z **Abstract:** This study thoroughly investigates how well deep learning models can recognize Arabic handwritten text for person biometric identification. It compares three advanced architectures -- ResNet50, MobileNetV2, and EfficientNetB7 -- using three widely recognized datasets: AHAWP, Khatt, and LAMIS-MSHD. Results show that EfficientNetB7 outperforms the others,...Votes: 0GitHub stars: 3
- Artificial Intelligence Software Structured To Simulate Human Working Memory Mental Imagery And Mental Continuity**arXiv ID:** 2204.05138 **Authors:** Jared Edward Reser **Published:** 2022-03-29T22:23:36Z **Abstract:** This article presents an artificial intelligence (AI) architecture intended to simulate the iterative updating of the human working memory system. It features several interconnected neural networks designed to emulate the specialized modules of the cerebral cortex. These are structured hierarchically and integrated into a global workspace. They are capable of temporarily maintaining high...Votes: 0GitHub stars: 3
- Arxiv 1911 05479 Decoding Neural Responses In Mouse Visual Cortex TDecoding Neural Responses in Mouse Visual Cortex through a Deep Neural Network (arXiv: 1911.05479)Votes: 0GitHub stars: 3
- Arxiv 1912 13490 A Neurocomputational Account Of Flexible Goal DireA Neurocomputational Account of Flexible Goal-directed Cognition and Consciousness: The Goal-Aligning Representation Internal Manipulation Theory (GARIM) (arXiv: 1912.13490)Votes: 0GitHub stars: 3
- Arxiv 2009 05359 Activation Relaxation A Local Dynamical ApproximatActivation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain (arXiv: 2009.05359)Votes: 0GitHub stars: 3
- Arxiv 2103 06123 The Whole Brain Architecture Approach AcceleratingThe whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain (arXiv: 2103.06123)Votes: 0GitHub stars: 3
- Arxiv 2103 08143 Constrained Plasticity Reserve As A Natural Way ToConstrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks (arXiv: 2103.08143)Votes: 0GitHub stars: 3
- Arxiv 2106 02626 Dynamics Of Specialization In Neural Modules UnderDynamics of specialization in neural modules under resource constraints (arXiv: 2106.02626)Votes: 0GitHub stars: 3
- Arxiv 2106 07030 The Backpropagation Algorithm Implemented On SpikiThe Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware (arXiv: 2106.07030)Votes: 0GitHub stars: 3
- Arxiv 2109 10376 Learning Through Structure Towards Deep NeuromorphLearning through structure: towards deep neuromorphic knowledge graph embeddings (arXiv: 2109.10376)Votes: 0GitHub stars: 3
- Arxiv 2202 10376 Same Cause Different Effects In The BrainSame Cause; Different Effects in the Brain (arXiv: 2202.10376)Votes: 0GitHub stars: 3
- Arxiv 2204 00619 Maze Learning Using A Hyperdimensional PredictiveMaze Learning using a Hyperdimensional Predictive Processing Cognitive Architecture (arXiv: 2204.00619)Votes: 0GitHub stars: 3
- Arxiv 2205 02115 Axonal Delay As A Short Term Memory For Feed ForwaAxonal Delay As a Short-Term Memory for Feed Forward Deep Spiking Neural Networks (arXiv: 2205.02115)Votes: 0GitHub stars: 3
- Arxiv 2207 05561 Brain Inspired Graph Spiking Neural Networks For CBrain-inspired Graph Spiking Neural Networks for Commonsense Knowledge Representation and Reasoning (arXiv: 2207.05561)Votes: 0GitHub stars: 3
- Arxiv 2212 07790 Population Template Based Brain Graph AugmentationPopulation Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification (arXiv: 2212.07790)Votes: 0GitHub stars: 3
- Arxiv 2303 13651 Building Artificial Neural Circuits For Domain GenBuilding artificial neural circuits for domain-general cognition: a primer on brain-inspired systems-level architecture (arXiv: 2303.13651)Votes: 0GitHub stars: 3
- Arxiv 2303 16067 Lazy Learning A Biologically Inspired Plasticity RLazy learning: a biologically-inspired plasticity rule for fast and energy efficient synaptic plasticity (arXiv: 2303.16067)Votes: 0GitHub stars: 3
- Arxiv 2304 02658 Predictive Coding As A Neuromorphic Alternative ToPredictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation (arXiv: 2304.02658)Votes: 0GitHub stars: 3
- Arxiv 2305 11107 From Data Fitting To Discovery Interpreting The NeFrom Data-Fitting to Discovery: Interpreting the Neural Dynamics of Motor Control through Reinforcement Learning (arXiv: 2305.11107)Votes: 0GitHub stars: 3
- Arxiv 2306 03812 Computation With Sequences In A Model Of The BrainComputation with Sequences in a Model of the Brain (arXiv: 2306.03812)Votes: 0GitHub stars: 3
- Arxiv 2401 01364 Multi Modal Cognitive Maps Based On Neural NetworkMulti-Modal Cognitive Maps based on Neural Networks trained on Successor Representations (arXiv: 2401.01364)Votes: 0GitHub stars: 3
- Arxiv 2403 16933 Backpropagation Through Space Time And The BrainBackpropagation through space, time, and the brain (arXiv: 2403.16933)Votes: 0GitHub stars: 3
- Arxiv 2409 12846 How The Tensor Brain Uses Embeddings And EmbodimenHow the (Tensor-) Brain uses Embeddings and Embodiment to Encode Senses and Symbols (arXiv: 2409.12846)Votes: 0GitHub stars: 3
- Arxiv 2410 07174 Neural Circuit Architectural Priors For QuadrupedNeural Circuit Architectural Priors for Quadruped Locomotion (arXiv: 2410.07174)Votes: 0GitHub stars: 3
- Arxiv 2412 15279 Functional Connectomes Of Neural NetworksFunctional connectomes of neural networks (arXiv: 2412.15279)Votes: 0GitHub stars: 3
- Arxiv 2501 17207 Rethinking Functional Brain Connectome Analysis DoRethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help (arXiv: 2501.17207)Votes: 0GitHub stars: 3
- Arxiv 2502 14671 Explanations Of Large Language Models Explain LangExplanations of Large Language Models Explain Language Representations in the Brain (arXiv: 2502.14671)Votes: 0GitHub stars: 3
- Arxiv 2502 16238 Brain Model Evaluations Need The Neuroai Turing TeBrain-Model Evaluations Need the NeuroAI Turing Test (arXiv: 2502.16238)Votes: 0GitHub stars: 3
- Arxiv 2506 01659 Engram Memory Encoding And Retrieval A NeurocomputEngram Memory Encoding and Retrieval: A Neurocomputational Perspective (arXiv: 2506.01659)Votes: 0GitHub stars: 3
- Arxiv 2507 10678 A Group Theoretic Analysis Of The Symmetries UnderA Group Theoretic Analysis of the Symmetries Underlying Base Addition and Their Learnability by Neural Networks (arXiv: 2507.10678)Votes: 0GitHub stars: 3
- Arxiv 2507 14022 Cpc Cms Cognitive Pairwise Comparison ClassificatiCPC-CMS: Cognitive Pairwise Comparison Classification Model Selection Framework for Document-level Sentiment Analysis (arXiv: 2507.14022)Votes: 0GitHub stars: 3
- Arxiv 2507 21474 Hebbian Memory Augmented Recurrent Networks EngramHebbian Memory-Augmented Recurrent Networks: Engram Neurons in Deep Learning (arXiv: 2507.21474)Votes: 0GitHub stars: 3