Research

Research, evidence gathering, literature, reports, investigation, and synthesis

skills in category: 21,409
pages available: 893

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Showing 11,257–11,280 of 21,409 skills

Arxiv 2608 20183 Exact Algebraic Computation Of Learning CoefficienAExact Algebraic Computation of Learning Coefficients for Two-Dimensional Singular Models (arXiv: 2608.20183)researchgoVotes: 0GitHub stars: 3
Arxiv 2608 20147 Petri Net Description Of Biological Neural CircuitAPetri Net Description of Biological Neural Circuits for Fast Hardware Prototyping (arXiv: 2608.20147)researchgoVotes: 0GitHub stars: 3
Arxiv 2608 20053 On The Applicability Of Safety Nets A Safety By DeAOn the Applicability of Safety Nets: A Safety-By-Design Solution for Certifying Neural Networks (arXiv: 2608.20053)researchgonodeVotes: 0GitHub stars: 3
Arxiv 2608 19914 Multi Source Wasserstein Distributionally Robust GAMulti-Source Wasserstein Distributionally Robust Graph Learning (arXiv: 2608.19914)researchgoVotes: 0GitHub stars: 3
Arxiv 2608 19907 Spike Based Belief Propagation In Nonlinear DynamiASpike-based Belief Propagation in Nonlinear Dynamical Systems (arXiv: 2608.19907)researchgoVotes: 0GitHub stars: 3
Arxiv 2608 19902 Bringing Analytic Rigor To Agentic Ai For ScienceABringing analytic rigor to agentic AI for science: The Brain Researcher platform for neuroimaging data analysis (arXiv: 2608.19902)researchgoVotes: 0GitHub stars: 3
Arxiv 2608 19893 Interrupting The Loop Periodic Subject Changes RaiAInterrupting the Loop: Periodic Subject Changes Raise Judged Surprise and Connection in Base Language Models (arXiv: 2608.19893)researchgoVotes: 0GitHub stars: 3
Arxiv 2608 19890 Reliable Neural Collapse Approximation For Open WoAReliable Neural Collapse Approximation for Open-World Test-Time Adaptation (arXiv: 2608.19890)researchgogitVotes: 0GitHub stars: 3
Arxiv 2607 17602 Exploring Brain NetworksAExploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and ApplicationsresearchpythongoVotes: 0GitHub stars: 3
Arxiv 2305 11107 From Data Fitting To Discovery Interpreting The NeAFrom Data-Fitting to Discovery: Interpreting the Neural Dynamics of Motor Control through Reinforcement Learning (arXiv: 2305.11107)researchVotes: 0GitHub stars: 3
Arabic Handwritten Text For Person Biometric Identification A Deep Learning ApproachA**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,...researchperformanceVotes: 0GitHub stars: 3
Ai Guided Stimuli Discovery Facial Emotion AutismAAI-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.researchpythongoVotes: 0GitHub stars: 3
A Non Hermitian Potential Well Formalism For ConsciousAA 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, imageresearchgobashVotes: 0GitHub stars: 3
Neuroscience Transformers Cortical AnalogyAMapping Transformer architectures to cortical column organization for understanding brain computation. Analogy framework between transformer operations (attention, contextual selection, routing) and laminar cortical features. Use for: cortical computation analysis, neuroscience-AI bridging, experimental hypothesis generation. Triggers: transformer cortex, cortical column, brain architecture, neuroscience transformers, laminar computation.researchpythongoVotes: 0GitHub stars: 3
Neuroscience Frontiers 2026AComprehensive synthesis of cutting-edge neuroscience and NeuroAI research from 2025-2026. Covers NSF NeuroAI workshop findings, CogniSNN random graph architectures, EMBER hybrid cognitive systems, SpikingBrain2.0 foundation models, and Next Generation Neural Mass Models. Integration of brain-inspired AI capabilities for embodied interaction, continual learning, and efficient few-shot learning.researchpythongoVotes: 0GitHub stars: 3
Neuroscience 2607 12403ASkill for applying the methods from the arXiv paper: Structured Fluctuations and the Information Dynamics of Self-Maintenance in Growing Neural Cellular Automata (arXiv:2607.12403). This skill provides a framework for analyzing internal fluctuations in neural cellular automata as a functional component for self-maintenance and self-repair.researchVotes: 0GitHub stars: 3
Neuroring Multifpga SnnANeuroRing methodology for modular and scalable SNN accelerator based on multi-FPGA bidirectional ring topology and stream-dataflow architectureresearchgonodeVotes: 0GitHub stars: 3
Neuron Surface Emitting Laser Neuronsel SpikingAMethodology from paper 'Neuron Surface Emitting Laser (NeuronSEL): Spiking Regimes and Negative Differential Resistance in S...' by Maria Duque-Gijon et al. (2026-04-14). Activation: brain, neural, spiking, neuron, network, physics.opticsresearchpythongoVotes: 0GitHub stars: 3
Neuron Model ReconstructionA从锋电位时间序列快速重构电导神经元模型。结合深度学习和动态输入电导（DIC）框架，解决神经元简并性问题。触发词：神经元模型、电导模型、锋电位、模型重构、DIC、 conductance-based model, spike times, neuron reconstruction, degeneracy。researchpythondocumentationVotes: 0GitHub stars: 3
Neuron Dropin NeuroplasticityANeuron-level DropIn and neuroplasticity mechanisms for enhancing deep learning efficiency and performance. Addresses the bottleneck of parameter scaling by enabling targeted neuron replacement and adaptive plasticity.researchpythonperformanceVotes: 0GitHub stars: 3
Neuromorphic Fwmav Snn ControlANeuromorphic control of flapping-wing micro aerial vehicles using SNNs on resource-constrained ESP32 microcontroller. Hierarchical SNN framework: state estimation + CPG modulation for wing actuation. 36% latency reduction, 18% power reduction vs ANN. First onboard neuromorphic autonomous flight.researchgoperformanceVotes: 0GitHub stars: 3
Neuromorphic Energy Aware Learning DbsANeuromorphic Energy-Aware Learning for Adaptive Deep Brain Stimulation — co-optimizes stimulation energy and inference efficiency via deep spiking Q-network on neuromorphic hardware. Achieves 45.2% oscillation suppression with 80% charge reduction at 0.52 mW.researchgogitVotes: 0GitHub stars: 3
Neuromorphic Disturbance ObserverABiologically-inspired disturbance observer and control framework that replaces conventional continuous-time signal representations with spike-timing encoding. Uses integrate-and-fire (IF) neuron dynamics for event-driven updates, achieving remarkable robustness and adaptability in uncertain environments.researchpythongoVotes: 0GitHub stars: 3
Neuromodulated Synaptic PlasticityA神经调节突触可塑性的学习框架。在脉冲神经网络（SNN）中通过梯度下降训练神经科学启发的可塑性模型，解决在线学习问题。触发词：突触可塑性、神经调节、脉冲神经网络、在线学习、学习的学习、 synaptic plasticity, neuromodulation, spiking neural network, online learning, meta-learning。researchpythondocumentationVotes: 0GitHub stars: 3