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Grasshopper DCMD: An Undergraduate Electrophysiology Lab for Investigating Single-Unit Responses to
Dieu My T Nguyen1,2, Mark Roper3,4,5, Stanislav Mircic1
1Backyard Brains, Ann Arbor, MI 48104.
Summary
This study introduces an accessible experiment for students to record grasshopper neural activity related to predator escape. The method uses affordable technology to demonstrate neurophysiology and neural computation, enhancing student interest in systems neuroscience.
Area of Science:
- Systems Neuroscience
- Neuroethology
- Computational Neuroscience
Background:
- Investigating animal escape behaviors offers insights into neural circuits.
- Undergraduate laboratories can benefit from hands-on systems-level neuroscience research.
Purpose of the Study:
- To describe accessible, hands-on exercises for undergraduate neuroscience labs.
- To demonstrate neurophysiology, neuroethology, and neural computation using grasshopper escape responses.
- To enhance student understanding and interest in neural systems driving behavior.
Main Methods:
- Utilized the Backyard Brains SpikerBox bioamplifier for extracellular recording of the descending contralateral movement detector (DCMD) neuron.
- Employed an open-source iOS app (Spike Recorder) for presenting looming visual stimuli and synchronizing neural recordings.
- Developed an in-app spike-sorting algorithm for data analysis and provided methods for data export.
Main Results:
- Successfully recorded reliable DCMD neuron activity in 87.7% of sessions (50 out of 57 grasshoppers).
- Demonstrated quantitative investigation of the escape system by adjusting simulated approaching object parameters.
- Field testing showed 67% of students could complete the exercise in a two-hour lab session.
Conclusions:
- The described protocol provides a viable and engaging method for teaching systems neuroscience concepts.
- The experiment effectively enhances student interest in the neural basis of behavior.
- Affordable technology enables practical exploration of neurophysiology and neural computation in an undergraduate setting.