The thesis aimed to update the traditional understanding of the speech chain with recent proposals on communicative behaviour from theoretical and computational neuroscience. For a generative brain that engages in active (Bayesian) inference, speech perception itself is considered as a form of predictive processing. Experiments presented in this thesis were designed to answer the questions of ‘what’, ‘how’, and ‘where’: 1. What constitutes an auditory prediction error, and is it selective to a specific sound type? 2. How is surprise minimisation implemented in hierarchical cortical networks for auditory and speech perception? 3. Where – at what level in cognition and linguistic knowledge – could predictions for speech perception come from? ...
Difficulty understanding speech in background noise is the most common hearing complaint. Elucidatin...
This thesis investigated electrophysiological correlates of underlying brain activation at different...
Thesis: Ph. D. in Neuroscience, Massachusetts Institute of Technology, Department of Brain and Cogni...
What is the nature of the neural code by which the human brain represents spoken language? New resea...
Listening to speech amidst noise is facilitated by a variety of cues, including the predictable use ...
Speech perception requires the decoding of complex acoustic patterns. According to most cognitive mo...
Speech perception requires the decoding of complex acoustic patterns. According to most cognitive mo...
AbstractAs the evidence of predictive processes playing a role in a wide variety of cognitive domain...
Physical variability of speech combined with its perceptual constancy make speech recognition a chal...
Physical variability of speech combined with its perceptual constancy make speech recognition a chal...
vi, 49 leaves ; 29 cmIt is usually easy to understand speech, but when several people are talking a...
When we listen to speech, we have to make sense of a waveform of sound pressure. Hierarchical models...
Auditory perceptual representations (i.e., “sounds”) reflect the brain’s ability to group or segrega...
What do we hear when someone speaks and what does auditory cortex (AC) do with that sound? Given how...
Auditory perceptual representations (i.e., “sounds”) reflect the brain’s ability to group or segrega...
Difficulty understanding speech in background noise is the most common hearing complaint. Elucidatin...
This thesis investigated electrophysiological correlates of underlying brain activation at different...
Thesis: Ph. D. in Neuroscience, Massachusetts Institute of Technology, Department of Brain and Cogni...
What is the nature of the neural code by which the human brain represents spoken language? New resea...
Listening to speech amidst noise is facilitated by a variety of cues, including the predictable use ...
Speech perception requires the decoding of complex acoustic patterns. According to most cognitive mo...
Speech perception requires the decoding of complex acoustic patterns. According to most cognitive mo...
AbstractAs the evidence of predictive processes playing a role in a wide variety of cognitive domain...
Physical variability of speech combined with its perceptual constancy make speech recognition a chal...
Physical variability of speech combined with its perceptual constancy make speech recognition a chal...
vi, 49 leaves ; 29 cmIt is usually easy to understand speech, but when several people are talking a...
When we listen to speech, we have to make sense of a waveform of sound pressure. Hierarchical models...
Auditory perceptual representations (i.e., “sounds”) reflect the brain’s ability to group or segrega...
What do we hear when someone speaks and what does auditory cortex (AC) do with that sound? Given how...
Auditory perceptual representations (i.e., “sounds”) reflect the brain’s ability to group or segrega...
Difficulty understanding speech in background noise is the most common hearing complaint. Elucidatin...
This thesis investigated electrophysiological correlates of underlying brain activation at different...
Thesis: Ph. D. in Neuroscience, Massachusetts Institute of Technology, Department of Brain and Cogni...