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Prompt course · 9 lessons · 29 prompts · 1 hour · Beginner

AI for Neuroscientists

This prompt course teaches neuroscientists to use AI for papers, experiments, code, results, writing, grants, talks, lab admin, and modeling. Each lesson gives clear prompts you can adapt to your own research.

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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.

What's inside

9 lessons · 29 prompts
  1. Before you start · framework course RACE Prompt Framework: Role, Action, Context, ExpectationRACE fits your neuroscience work because it defines role, action, context, and expectation for a grant analysis of hippocampal plasticity.
  2. Start here Priya's Wednesday, Two WaysA day in the life of a Neuroscientist, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts Literature And Concepts
  4. 02 Lesson 2 · 3 prompts Experiment Planning
  5. 03 Lesson 3 · 3 prompts Code And Statistics
  6. 04 Lesson 4 · 3 prompts Neural Data Results
  7. 05 Lesson 5 · 5 prompts Manuscript Writing
  8. 06 Lesson 6 · 4 prompts Grants And Review
  9. 07 Lesson 7 · 2 prompts Talks And Posters
  10. 08 Lesson 8 · 4 prompts Lab Admin And Collaboration
  11. 09 Lesson 9 · 2 prompts Advanced Modeling

About this course

7 topics

Prompts for Neuroscience Research and Writing

You use prompts every day in ChatGPT, Claude, or Gemini. This course turns that habit into a reliable skill for neuroscience work.

Each lesson gives you a clear prompt, a short explanation, and a way to check the result. You can move at your own pace and return to any lesson when a task comes up.

  1. The lessons
    1. Literature And Concepts: Use AI to quickly understand new papers, summarize research areas, and explain neuroscience concepts.
    2. Experiment Planning: Use AI to draft protocols, justify sample sizes, and spot confounds before data collection.
    3. Code And Statistics: Use AI to write, debug, and explain analysis code for neural data and choose appropriate statistics.
    4. Neural Data Results: Use AI to interpret analysis outputs, summarize results, and turn numbers into clear findings.
    5. Manuscript Writing: Use AI to outline, draft, and polish neuroscience papers for journal submission.
    6. Grants And Review: Use AI to draft grant sections, budgets, and responses to reviewer comments.
    7. Talks And Posters: Use AI to prepare conference abstracts and slide outlines for presenting your work.
    8. Lab Admin And Collaboration: Use AI to handle lab communication, meeting notes, and ethics paperwork that support research.
    9. Advanced Modeling: Use AI to design computational models and troubleshoot data processing pipelines.
  2. What The Course Covers

    The course covers a full set of practical lessons for neuroscience work. You learn prompts for papers, experiments, code, results, writing, grants, talks, lab admin, and modeling.

  3. How The Lessons Connect

    Each lesson builds on the one before it. Reading papers feeds experiment planning, code supports results, and writing carries your findings into grants and talks.

  4. How To Use Prompts Well

    Give the AI context: your field, your question, your data type, and the format you want. Ask for a short answer first, then ask it to go deeper. Always check its work.

  5. Who This Course Is For

    This course is for neuroscientists who want to use AI in daily research without becoming programmers. It fits students, postdocs, lab managers, and principal investigators.

  6. Safety And Privacy For Research

    Do not share private data, unpublished findings, or patient details with public AI tools unless your institution says it is allowed. Keep your own records and review every output.

  7. Your Next Step

    Pick one lesson that matches a task on your desk this week. Try the prompt, save what works, and bring your questions to the next lesson.