Course overview
Start hereAI for Neuroscientists
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Priya's Wednesday, Two Ways

9 lessons · 29 prompts

A day in the life of a Neuroscientist: what changes with these prompts.

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Priya, a neuroscientist studying how sleep shapes memory.

On Wednesday morning, Priya opens ChatGPT with a new paper on sleep spindles and memory. She uses the Literature And Concepts prompt to get a plain-language summary, then asks for three questions the paper leaves unanswered. She saves a few minutes of rereading the methods.

After lunch, she runs a mixed-effects model in R for her mouse memory data. A warning message stops her. She pastes the code and error into Claude and asks for a plain explanation and a fix. Claude suggests a different random effect structure. Priya checks it against her notes and reruns the model.

Later, she needs to draft a grant progress report. In Gemini, she uses the Grants And Review prompt to turn her bullet points into a clear paragraph about sample size and timeline. She edits the wording so it sounds like her. Then she prepares a lab meeting note and ethics form reminder with the Lab Admin And Collaboration prompt.

That frees up her late afternoon. She leaves the lab on time, walks to the park, and reads a novel for pleasure. The AI did not do her science, but it helped her move through the day with less drag.

Before

  • Long papers pile up.
  • Code errors eat afternoons.
  • Grant drafts feel heavy.
  • Lab notes wait.

After this course

  • Papers make sense faster.
  • Code runs with fewer stalls.
  • Grant draft starts clear.
  • Home before dinner.

What you'll learn

  • Read Papers: Ask AI to explain a new study in plain language and list the main claims and limits.
  • Plan Experiments: Draft protocols, think through sample sizes, and spot possible confounds before you collect data.
  • Check Code: Use AI to write, debug, and explain analysis code for neural data.
  • Read Results: Turn tables and model output into clear findings you can share with your team.
  • Write Papers: Outline, draft, and polish sections for journal submission while keeping your voice.
  • Win Grants: Draft grant sections, budgets, and calm replies to reviewer comments.
  • Present Work: Prepare conference abstracts, poster text, and slide outlines for your talks.
  • Model And Admin: Design simple computational models and handle lab messages, notes, and ethics forms.

How this course works

  1. 9 lessonsOne task of your job each, from literature and concepts to advanced modeling.
  2. Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
  3. Tick and completeTick the prompts you tried and mark each lesson complete.
  4. Get certifiedFinish and keep the prompts as your own library.