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SkillsMP 已收集 hiyenwong/ai_collection 中的 4,114 个 Skill。打开任一 Skill 可查看来源和详情。

hiyenwong/ai_collection

已展示 40 / 4,114 个已收集 Skill。

职业分类
其他心理学家
描述

AI interviewer methodology for operationalizing Descriptive Experience Sampling (DES) into an explicit, inspectable reasoning architecture. Grounded in the established phenomenological method with co-development by DES originator Russell T. Hurlburt. Use when…

原文语言:英语

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职业分类
电气工程师
描述

A skill summarizing the arXiv paper: A 32-channel event-based bio-signal analog front-end with adaptive delta and pulse frequency encoding arXiv ID: http://arxiv.org/abs/2607.12901v1 Authors: Narayanan Shyam, Saptarshi Ghosh, Giacomo Indiveri Published:…

原文语言:英语

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职业分类
数据科学家
描述

Skill generated from arXiv paper 2607.14086: Leveraging unlabelled data for generalizable neural population decoding

原文语言:英语

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职业分类
其他心理学家
描述

A skill for conducting EEG/MEG-based brain network analysis based on the arXiv paper "Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications"

原文语言:英语

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职业分类
数据科学家
描述

Visual Semantic Decoding of Electrocorticography from Video Stimuli using End-to-End Deep Learning - methodology for decoding visual categories from ECoG using Transformer-based deep learning with mixup augmentation and high-gamma band analysis.

原文语言:英语

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职业分类
软件开发工程师
描述

Automated workflow for researching recent arXiv papers, generating Hermes skills, syncing to ai_collection repo, updating INDEX.md, creating Obsidian notes, and updating the knowledge graph. Designed for cron jobs with no user interaction.

原文语言:英语

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职业分类
软件开发工程师
描述

Best practices for safely accessing arXiv programmatically, avoiding common pitfalls with HTTP, SSL, and automated tools.

原文语言:英语

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职业分类
软件开发工程师
描述

Workaround for arxiv-search SSL issues when using python httpx

原文语言:英语

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职业分类
数据科学家
描述

Skill for EEG/MEG-based brain network analysis covering forward/inverse problems, connectivity measures, and pipelines.

原文语言:英语

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职业分类
软件开发工程师
描述

Claude plays robotics

原文语言:英语

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职业分类
数据科学家
描述

Cluster-based distributed small-signal stability certification for grid-forming inverter networks. Use when: (1) certifying stability of large-scale inverter networks without a fully assembled global model; (2) designing cluster-based or decentralized…

原文语言:英语

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职业分类
数据科学家
描述

Skill for understanding and applying the CogniSNN framework: a Spiking Neural Network paradigm that incorporates Random Graph Architecture to achieve Neuron-Expandability, Pathway-Reusability, and Dynamic-Configurability for brain-inspired intelligence.

原文语言:英语

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职业分类
软件开发工程师
描述

Methodology for modeling the co-evolution of human competence and AI tool reliance as a bistable dynamical system. Analyzes competence collapse thresholds, transparency effects, and agency transfer in human-AI collaboration. Use when designing AI tools,…

原文语言:英语

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职业分类
软件开发工程师
描述

A skill for implementing cross-domain recombination inspired by dreaming, based on the paper "Discovery by Dreaming: Cross-Domain Recombination in Artificial Memory" (arXiv:2607.16256). This skill outlines how to implement a LoRA fine-tuning pipeline (DREAMS)…

原文语言:英语

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职业分类
数据科学家
描述

Methodology for training CNNs with eccentricity-constrained egocentric video data to reveal adaptive information coding that mirrors primate visual system organization, showing differential task-relevance between foveal and peripheral vision.

原文语言:英语

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职业分类
数据科学家
描述

Eccentricity-constrained CNN training on egocentric video reveals adaptive, task-aligned information coding across the visual field, with fovea-preferred models advantaged for face and object tasks and periphery-preferred models favored in scene-selective…

原文语言:英语

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职业分类
数据科学家
描述

Eccentricity-Constrained CNN Training methodology for adaptive visual information coding around the visual field using egocentric data

原文语言:英语

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职业分类
数据科学家
描述

Skill for analyzing brain networks using noninvasive electrophysiological measurements (EEG/MEG) based on arXiv:2607.17602v1 'Exploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and Applications'

原文语言:英语

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职业分类
数据科学家
描述

Neuropsychology-inspired EEG-to-Text benchmark (COFETT) that addresses EEG instability and enables teacher-forcing-free evaluation, providing evidence for real-world EEG2Text feasibility. Use when evaluating or building non-invasive brain-to-text decoders,…

原文语言:英语

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职业分类
数据科学家
描述

Apply persistent homology to MEA recordings of spontaneous brain-organoid activity. Detects H1 loops and H2 voids in correlation networks, compares them to rate-preserving null models, and identifies non-redundant loop-carrying cores.

原文语言:英语

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职业分类
数据科学家
描述

Skill for understanding and applying the research from arXiv:2607.13644 "Evaluating Encoding Strategies for Closed-Loop Classification in Biological Neural Networks"

原文语言:英语

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职业分类
数据科学家
描述

Analysis of Drosophila FC2 circuit mechanism showing that goal maintenance uses normalization rather than winner-take-all selection, with global inhibition from FB5A neurons keeping a single clean activity bump rather than actively choosing between competing…

原文语言:英语

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职业分类
数据科学家
描述

Grounding Evidence-Aware Reward for Long-Context Reasoning to Reduce Repetitive Copying

原文语言:英语

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职业分类
数据科学家
描述

The Giant Hippocampus: From Structural Monoculture to a System of Systems - bridging AI architecture design with neuroscientific understanding of brain structure diversity.

原文语言:英语

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职业分类
数据科学家
描述

Methodology for identifying and interpreting internal mental workspace in language models using Jacobian lens technique, inspired by neuroscience's Global Workspace Theory.

原文语言:英语

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职业分类
数据科学家
描述

Skill for understanding grounded world models in biological organisms and their implications for future embodied AI, based on arXiv:2607.13560v1.

原文语言:英语

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职业分类
数据科学家
描述

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

原文语言:英语

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职业分类
数据科学家
描述

Methodology for analyzing internal fluctuations in Growing Neural Cellular Automata (GNCA) to understand self-maintenance and self-repair mechanisms. Based on arXiv:2607.12403v1.

原文语言:英语

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职业分类
数据科学家
描述

First-passage-time analysis of inter-spike interval (ISI) statistics for excitatory-inhibitory (EI) integrate-and-fire neurons with depolarizing and hyperpolarizing adaptive thresholds. Use when studying stochastic neuronal firing, ISI variability, adaptive…

原文语言:英语

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职业分类
数据科学家
描述

Skill for understanding and applying the MOJO framework for leveraging unlabeled data in neural population decoding via masked autoencoding and joint supervised learning.

原文语言:英语

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职业分类
数据科学家
描述

Model human perception, cognition, and decision dynamics as a modular perception-cognition-decision pipeline state-space model. Provides mathematical formulation, stability conditions, and application to rehabilitation control. Use when you need interpretable…

原文语言:英语

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职业分类
数据科学家
描述

A modular state-space model for human perception, cognition, and decision dynamics that links sensory inputs to behavior through latent internal states while maintaining interpretable connections to neuro-cognitive mechanisms.

原文语言:英语

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职业分类
其他心理学家
描述

Skill for exploring brain networks using noninvasive electrophysiological measurements (EEG/MEG) based on arXiv:2607.17602v1.

原文语言:英语

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已展示 40 / 4,114 个已收集 Skill。