Machine learning for neural coding of sound envelopes: slithering from sinusoids to speech

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Machine learning for neural coding of sound envelopes: slithering from sinusoids to speech

Specific locations within the brain contain neurons which respond, by firing action potentials (spikes), when a sound is played in the ear of a person or animal. The number and timing of these spikes encodes information about the sound; this code is the basis for us perceiving and understanding the...

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Bibliographic Details
Main Author:	Levy, Alban Hugo
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2018
Subjects:	Neuroscience Auditory Neuroscience Machine Learning Speech Recognition Cochlear Nucleus
Online Access:	https://eprints.nottingham.ac.uk/52224/

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