Academic Writing

Design Alternative Uses Task experiments that measure divergent thinking

Audit research code, trained model exports, manifests and inference packaging

Check numbers, artifacts, logs and citations in reports against inspectable evidence

Check whether model comparisons and benchmark results support the claims made about them

Build hierarchical Bayesian cognitive models in Stan or PyMC with diagnostics

Choose connectivity methods such as PPI, DCM, Granger causality and graph theory

Analyze calcium imaging data from motion correction to spike inference

Select and parameterize cognitive psychology paradigms to fit a research question

Plan sample sizes for cognitive and neuroscience studies with effect size priors

Choose mixed models, multiple-comparison corrections and Bayesian methods for cognitive data

Run SEM mediation analysis of creative self-efficacy with baseline creativity

Organize research trace events into readable episodes and dependency links

Score divergent thinking tasks for fluency, flexibility, originality and semantic distance

Fit and evaluate drift-diffusion models for two-choice reaction time data

Design EEG experiments that isolate ERP components with timing and control conditions

Preprocess EEG with filtering, ICA or ASR cleaning and re-referencing

Analyze event-related potentials from preprocessing through statistical testing

Choose between diffusion, LBA and race models for choice reaction time data

Specify fMRI general linear models with HRFs, design matrices and contrasts

Make fMRI preprocessing decisions for motion, slice timing and normalization

Design fMRI tasks as block, event-related or mixed with jitter and power checks

Preprocess BIDS fMRI datasets with fMRIPrep in Docker, Singularity or Apptainer

Design infant habituation and looking-time studies with age-appropriate timing rules

Map lesions to deficits with VLSM, disconnection analysis and network lesion methods

Analyze EEG and MEG data in MNE-Python from epoching to decoding and source maps

Compute brain network metrics, modularity and null models with netneurotools

Choose decoding, RSA and encoding model methods for systems neuroscience data

Reduce neural population recordings with PCA, GPFA and dPCA latent analyses

Plan fMRI and EEG sample sizes using effect size benchmarks and simulated power

Estimate neuroimaging sample sizes by simulating effect maps and detection power

Choose optogenetic opsins, light delivery, pulse protocols and matching controls

Run parameter recovery studies to confirm that fitted model parameters can be trusted

Analyze eye-tracking reading measures such as fixations, gaze and regressions

Plan research, justify methods and check assumptions before drawing conclusions

Design self-paced reading experiments with region segmentation, timing and probes

Plan norming studies for linguistic stimuli with cloze and plausibility ratings

Apply signal detection theory with the right formulas and interpretation guidelines

Build spiking neural network simulations with neuron models, connectivity and plasticity

Select theory of mind tasks that fit a target population, age and construct

Specify display parameters, set sizes and randomization for visual search experiments

Review biomedical papers figure by figure for causal evidence and method limits

Compose multi-panel publication figures from a claim and real data with visual review

Review literature with live lookups, retraction checks and resolvable DOI citations

Test whether Figure 1 hooks readers and reorder figures to sharpen the paper story

Screen figures and numbers in manuscripts for duplicated panels and anomalies

Search arXiv by keyword, author or category and retrieve paper metadata

Run filtered CNKI advanced searches by author, journal, date and source

Download CNKI papers as PDF or CAJ files from your logged-in account

Export CNKI papers to Zotero or save them as RIS citation files