Specifies display parameters, set sizes, target-distractor similarity, and randomization constraints for visual search experiments
Skills in this repository
NeuroAIHub/BrainPilot - Page 2
SkillsMP has collected 69 skills from NeuroAIHub/BrainPilot. Open a skill to review its source and details.
NeuroAIHub/BrainPilotShowing 29 of 69 collected skills.
Guides analysis of eye-tracking reading measures including first fixation, gaze duration, regression path, and total reading time
Expert guidance for designing self-paced reading experiments: region segmentation, timing parameters, comprehension probes, and spillover analysis
Specifies norming procedures for linguistic stimuli including cloze probability, plausibility ratings, acceptability judgments, and lexical controls
Expert guidance for designing EEG paradigms optimized to isolate specific ERP components, with domain-validated timing, trial count, and control condition parameters
Guides EEG preprocessing: filtering, artifact rejection (ICA/ASR), re-referencing, interpolation
Domain-validated pipeline and parameter guidance for event-related potential analysis, from preprocessing through statistical testing
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,…
Advises on functional/effective connectivity methods: PPI, DCM, Granger causality, graph theory
Domain-validated guidance for fMRI General Linear Model specification: HRF modeling, design matrix construction, contrast definition, confound regression, and statistical inference
Domain-validated guidance for fMRI preprocessing decisions: motion correction, slice timing, spatial normalization, smoothing, confound regression, and quality control
Guides fMRI task design: block vs. event-related vs. mixed; jittering; contrasts; power for BOLD detection
Domain-validated methods and decision logic for neural decoding, RSA, temporal generalization, and encoding models in systems neuroscience
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…
Guides ACT-R cognitive model construction: chunk types, production rules, subsymbolic parameters, and model validation
Domain-validated guidance for building hierarchical Bayesian cognitive models with Stan/PyMC: prior specification, model structure, MCMC diagnostics, and posterior predictive checks
Guides parameter recovery studies to validate model identifiability before trusting fitted parameter values
Guides dimensionality reduction and latent-variable analysis of neural populations (PCA, GPFA, dPCA)
Assists building spiking neural network simulations: neuron models, connectivity, plasticity rules
Domain-validated pipeline guidance for calcium imaging data analysis: motion correction, ROI extraction, neuropil correction, spike inference, and quality control
Domain-validated decision logic for optogenetic stimulation parameter selection, including opsin choice, light delivery, pulse protocols, fiber placement, and control conditions
Advises on lesion-symptom mapping methods: VLSM, disconnection analysis, network lesion mapping
Domain-validated decision logic for selecting neuropsychological test batteries matched to suspected cognitive deficit profiles
Designs habituation and preferential-looking paradigms with age-appropriate timing parameters and exclusion criteria
Selects Theory of Mind tasks matched to target population, age, and construct with psychometric guidance
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…
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…
Sample-size planning for fMRI/EEG studies using effect-size benchmarks and simulation-based power
Simulation-based sample-size planning for neuroimaging studies using effect-size maps