iBOTS
Topics
We are constantly developing new topics to keep up with the needs of our neuroscience research community. Below are the topics we maintain so far, and when they will be offered again. More details can be found on each individual topic page.
Neural Data Analysis
Computational neuroscience courses teach core quantitative methods used in neuroscience research. Learners work with realistic datasets, connect analysis choices to scientific questions, and build confidence applying statistical, signal-processing, imaging, and machine-learning workflows.
Scientific Computing
Research Software Engineering (RSE) courses help researchers build practical foundations for modern scientific work. Topics include programming, version control, reproducible environments, data management, automation, and software design patterns that make research faster, clearer, and easier to share.
Upcoming dates
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Upcoming dates
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Upcoming dates
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Upcoming dates
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Upcoming dates
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Learner-Centered Teaching for Adults
We specialize in hands-on, adult learning experiences for neuroscience researchers. Our topics are designed to respect each learner's background, encourage social interaction, and ensure the material can be quickly applied in real-world research. All content is free, open source, and tailored to your needs.
Adult Learning in Action
Our workshops emphasize collaborative problem-solving, using real-world neuroscience exercises, round-table discussions, and reflective practice.
Hands-On Projects
We focus on curated, challenging exercises in small groups to build skills that transfer directly to the research lab.
Ongoing Support
We remain available to help apply new knowledge to projects. We believe in building a learning community that continues beyond each event.
1
Setting Goals & Building Comfort
We begin by clarifying each participant's goals and discussing the main themes for the day, setting the stage for truly learner-centered sessions.
2
Interactive Breakout Sessions
Groups work together on curated exercises using real neuroscience data, with the trainer acting primarily as a facilitator.
3
Live Coding & Deeper Discussions
After each breakout, we come together for live coding demos and Q&A, to delve deeper into topics based on participant interest.
4
Reflect & Repeat
Daily round-table discussions and transparent final retrospectives help us refine each workshop iteration.
Our Training Team
For tutoring, collaboration, or follow-up support, contact the team. We are happy to help you connect workshop ideas with your own research practice.
