Specifies display parameters, set sizes, target-distractor similarity, and randomization constraints for visual search experiments
원문 언어: 영어
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이 저장소의 skills
SkillsMP는 NeuroAIHub/BrainPilot에서 69개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
NeuroAIHub/BrainPilot수집된 skill 69개 중 29개를 표시합니다.
Specifies display parameters, set sizes, target-distractor similarity, and randomization constraints for visual search experiments
원문 언어: 영어
Guides analysis of eye-tracking reading measures including first fixation, gaze duration, regression path, and total reading time
원문 언어: 영어
Expert guidance for designing self-paced reading experiments: region segmentation, timing parameters, comprehension probes, and spillover analysis
원문 언어: 영어
Specifies norming procedures for linguistic stimuli including cloze probability, plausibility ratings, acceptability judgments, and lexical controls
원문 언어: 영어
Expert guidance for designing EEG paradigms optimized to isolate specific ERP components, with domain-validated timing, trial count, and control condition parameters
원문 언어: 영어
Guides EEG preprocessing: filtering, artifact rejection (ICA/ASR), re-referencing, interpolation
원문 언어: 영어
Domain-validated pipeline and parameter guidance for event-related potential analysis, from preprocessing through statistical testing
원문 언어: 영어
Domain-validated pipeline guidance for EEG/MEG data analysis using MNE-Python: data loading, preprocessing (filtering, ICA, re-referencing), epoching, ERP/ERF computation, time-frequency decomposition, source localization, decoding/MVPA, statistical testing,…
원문 언어: 영어
Advises on functional/effective connectivity methods: PPI, DCM, Granger causality, graph theory
원문 언어: 영어
Domain-validated guidance for fMRI General Linear Model specification: HRF modeling, design matrix construction, contrast definition, confound regression, and statistical inference
원문 언어: 영어
Domain-validated guidance for fMRI preprocessing decisions: motion correction, slice timing, spatial normalization, smoothing, confound regression, and quality control
원문 언어: 영어
Guides fMRI task design: block vs. event-related vs. mixed; jittering; contrasts; power for BOLD detection
원문 언어: 영어
Domain-validated methods and decision logic for neural decoding, RSA, temporal generalization, and encoding models in systems neuroscience
원문 언어: 영어
Domain-validated guidance for cortical surface visualization and brain surface rendering of fMRI data using pycortex: data types (Volume, Vertex, Dataset), 2D cortical flatmaps, 3D WebGL brain viewers, volume-to-surface mapping, FreeSurfer/fMRIPrep…
원문 언어: 영어
Guides ACT-R cognitive model construction: chunk types, production rules, subsymbolic parameters, and model validation
원문 언어: 영어
Domain-validated guidance for building hierarchical Bayesian cognitive models with Stan/PyMC: prior specification, model structure, MCMC diagnostics, and posterior predictive checks
원문 언어: 영어
Guides parameter recovery studies to validate model identifiability before trusting fitted parameter values
원문 언어: 영어
Guides dimensionality reduction and latent-variable analysis of neural populations (PCA, GPFA, dPCA)
원문 언어: 영어
Assists building spiking neural network simulations: neuron models, connectivity, plasticity rules
원문 언어: 영어
Domain-validated pipeline guidance for calcium imaging data analysis: motion correction, ROI extraction, neuropil correction, spike inference, and quality control
원문 언어: 영어
Domain-validated decision logic for optogenetic stimulation parameter selection, including opsin choice, light delivery, pulse protocols, fiber placement, and control conditions
원문 언어: 영어
Advises on lesion-symptom mapping methods: VLSM, disconnection analysis, network lesion mapping
원문 언어: 영어
Domain-validated decision logic for selecting neuropsychological test batteries matched to suspected cognitive deficit profiles
원문 언어: 영어
Designs habituation and preferential-looking paradigms with age-appropriate timing parameters and exclusion criteria
원문 언어: 영어
Selects Theory of Mind tasks matched to target population, age, and construct with psychometric guidance
원문 언어: 영어
Submission-grade Nature/high-impact journal figure workflow for Python or R. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, figures4papers-style matplotlib plots, or journal-ready SVG/PDF/TIFF…
원문 언어: 영어
Guide AI agents to write beautifully formatted, well-illustrated Markdown reports with proper structure, diagrams, and compatibility across GitHub and Obsidian. Use this skill whenever the user asks you to write a report, project documentation, experiment…
원문 언어: 영어
Sample-size planning for fMRI/EEG studies using effect-size benchmarks and simulation-based power
원문 언어: 영어
Simulation-based sample-size planning for neuroimaging studies using effect-size maps
원문 언어: 영어