Date of Award

11-22-2019

Document Type

Thesis

Degree Name

Bachelor of Science (B.S.) in Mathematics and University Honors

Department

Mathematics

First Advisor

Daniel Taylor-Rodriguez

Subjects

Neurons -- Physiology, Neural transmission, Cognition -- Physiology, Neural circuitry -- Mathematical models, Higher nervous activity -- Measurement

DOI

10.15760/honors.835

Abstract

Spike sorting is the process of converting a recording of the electrical activity generated by neurons firing in the brain, into a representation of the timings for each distinct neuron's firing. This representation of neuronal firings, when paired with data on the the subjects perceptions or actions during the recording, can then be used to map patterns of brain activity to specific stimuli or behaviors. Here we will examine the evolution of mathematical techniques employed to tackle this problem, as well as examine a few of the still open questions.

Persistent Identifier

https://archives.pdx.edu/ds/psu/32539

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