Agent skills by NeuroAIHub, page 2

Expert guidance for designing EEG paradigms optimized to isolate specific ERP components, with domain-validated timing, trial count, and control condition parameters

NeuroAIHub/BrainPilot

Domain-validated decision logic for selecting neuropsychological test batteries matched to suspected cognitive deficit profiles

NeuroAIHub/BrainPilot

Domain-validated decision logic for optogenetic stimulation parameter selection, including opsin choice, light delivery, pulse protocols, fiber placement, and control conditions

NeuroAIHub/BrainPilot

Core scientific methodology principles: research planning, method justification, assumption checking, and human-in-the-loop decision making for cognitive science and neuroscience

NeuroAIHub/BrainPilot

Specifies display parameters, set sizes, target-distractor similarity, and randomization constraints for visual search experiments

NeuroAIHub/BrainPilot

Audit scientific implementation, exported-model equivalence, dependency completeness, manifests, packaging, and isolated inference.

NeuroAIHub/BrainPilot

Audit numeric, artifact, log, citation, and cross-report claims against inspectable evidence.

NeuroAIHub/BrainPilot

Research a bounded factual, documentation, API, or literature question from authoritative sources and save a self-contained Markdown report with claim-level citations.

NeuroAIHub/BrainPilot

Domain-validated guidance for building hierarchical Bayesian cognitive models with Stan/PyMC: prior specification, model structure, MCMC diagnostics, and posterior predictive checks

NeuroAIHub/BrainPilot

Audit scientific data semantics, sample and label alignment, leakage, group splits, preprocessing boundaries, and train-to-inference transforms.

NeuroAIHub/BrainPilot

Create or update the canonical Markdown inventory of task-relevant research data.

NeuroAIHub/BrainPilot