A low-cost computational approach to analyze spiking activity in cockroach sensory neurons | Zendy

David J. Torres | Zendy; Andrés Romero | Zendy; Wes Colgan | Zendy; Ulises M. Ricoy | Zendy

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A low-cost computational approach to analyze spiking activity in cockroach sensory neurons

Author(s) -

David J. Torres,

Andrés Romero,

Wes Colgan,

Ulises M. Ricoy

Publication year - 2021

Publication title -

ajp advances in physiology education

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.501

H-Index - 60

eISSN - 1522-1229

pISSN - 1043-4046

DOI - 10.1152/advan.00034.2020

Subject(s) - spike sorting , spike (software development) , computer science , cockroach , neurophysiology , sorting , cluster analysis , process (computing) , neuroscience , software , octave (electronics) , artificial intelligence , pattern recognition (psychology) , psychology , biology , acoustics , physics , ecology , software engineering , programming language , operating system

Undergraduates use a spike sorting routine developed in Octave to analyze the spiking activity generated from mechanical stimulation of spines of cockroach legs with the inexpensive SpikerBox amplifier and the free software Audacity. Students learn the procedures involved in handling the cockroaches and recording extracellular action potentials (spikes) with the SpikerBox apparatus as well as the importance of spike sorting for analysis in neuroscience. The spike sorting process requires students to choose the spike threshold and spike selection criteria and interact with the clustering process that forms the groups of similar spikes. Once the spike groups are identified, interspike intervals and neuron firing frequencies can be calculated and analyzed. A classic neurophysiology lab exercise is thus adapted to be interdisciplinary for underrepresented students in a small rural college.

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