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The neural encoding of sound is the representation of auditory sensation and perception in the nervous system. [1] The complexities of contemporary neuroscience are continually redefined. Thus what is known of the auditory system has been continually changing.
Neural coding (or neural representation) is a neuroscience field concerned with characterising the hypothetical relationship between the stimulus and the neuronal responses, and the relationship among the electrical activities of the neurons in the ensemble.
Examples of sinusoidally amplitude- and frequency-modulated signals. The neural representation of stimulus envelope, ENV n, has typically been studied using well-controlled ENV p modulations, that is sinusoidally amplitude-modulated (AM) sounds. Cochlear filtering limits the range of AM rates encoded in individual auditory-nerve fibers. In the ...
Much of the early work that applied a predictive coding framework to neural mechanisms came from sensory processing, particularly in the visual cortex. [ 3 ] [ 12 ] These theories assume that the cortical architecture can be divided into hierarchically stacked levels, which correspond to different cortical regions.
However, despite the high inference speed, parallel WaveNet has the limitation of needing a pre-trained WaveNet model, so that WaveGlow takes many weeks to converge with limited computing devices. This issue has been solved by Parallel WaveGAN, [ 17 ] which learns to produce speech through multi-resolution spectral loss and GAN learning strategies.
Volley Theory of Hearing demonstrated by four neurons firing at a phase-locked frequency to the sound stimulus. The total response corresponds with the stimulus. Volley theory states that groups of neurons of the auditory system respond to a sound by firing action potentials slightly out of phase with one another so that when combined, a ...
Its implementation of the silent speech interface enables direct communication between the human brain and external devices through stimulation of the speech muscles. By leveraging neural signals associated with speech and language, the AlterEgo system deciphers the user's intended words and translates them into text or commands without the ...
Such linear mapping from EEG to stimulus is an example of neural decoding. [6] A major problem however is the many variations that the very same message can have under diverse physical conditions (speaker or noise, for example). Hence one can have the same EEG signal, but it is uncertain, at least in acoustic terms, what stimulus to map it to.