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Pandemic Teaching: Using the Allen Cell Types Database for Final Semester Projects in an Undergraduate
Yi-Yun Ho1, Andrea Roeser1, Gwenda Law2
1Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853.
Summary
This project enabled students to analyze neuroscience data remotely using Python and the Allen Cell Types Database. Students explored neuronal excitability and properties across species and disease states, developing key research skills.
Area of Science:
- Neuroscience
- Computational Biology
- Science Education
Background:
- Traditional electrophysiology lab courses require hands-on access to equipment.
- The COVID-19 pandemic necessitated remote learning solutions for science education.
- Students previously learned conventional electrophysiological techniques and data analysis.
Purpose of the Study:
- To design a virtual research project for final-semester students to apply electrophysiological concepts.
- To enable students to answer experimental questions using real-world neuroscience data without laboratory access.
- To develop students' skills in data navigation, coding-based analysis, and scientific communication.
Main Methods:
- Utilized lesson plans from Ashley Juavinett and the Allen Institute for Brain Science (AIBS) Allen SDK.
- Developed an interactive graphic interface for quantifying neuronal voltage changes.
- Students analyzed open-access patch clamp recording data from the Allen Cell Types Database using provided Python/Jupyter Notebook code.
Main Results:
- Students successfully analyzed neuronal populations from human and mouse brains.
- They compared passive properties and neuronal excitability across brain areas, species, and disease states.
- Students gained experience with coding, remote teamwork, and scientific presentation.
Conclusions:
- The virtual project effectively allowed students to conduct research from data acquisition to analysis.
- This activity enhances traditional neuroscience curricula by providing access to extensive online neuroscience data.
- It equips students with valuable skills for modern scientific research and remote learning environments.
