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This thesis investigates a novel scene analysis system that determines the identity and the relative positions of unconstrained objects within a natural three dimensional grey scale image. Images may be of 'block filled' or 'line drawn' occluded shapes. It utilises the occluding information to discover the relative depth of objects in the scene. The system incorporates associative memories, the N tuple pattern recognition process, movable multiple resolution windows and edge detection. The structure and performance of the system and its subsystems is reported. The associative memory incorporates a novel recall procedure which has uses outside the application given here. The work incorporates ideas from the neurophysiology of the human visual system to overcome some of the problems encountered.

Effective everyday hearing requires the auditory system to organize auditory input into perceptual streams corresponding to objects of interest. Changes in this process may be responsible for age-related deterioration in the capacity to effectively hear important sounds masked by background noise. Younger (18-25) and older (55+) adults with healthy hearing listened to 10-second intervals of a simple pattern of “ABA” tone triplets. The ABA patterns are used as a model of real-world auditory streaming, because they are initially perceived as one integrated stream, and over time are reorganized into two segregated streams. Participants performed a target-detection task designed to index their perceptual organization of the tones, which does not depend on potentially-biased, subjective judgment (Thompson, Carlyon, & Cusack, 2011). Complex tones with narrowly-spaced, unresolvable frequency components were used in this experiment to control for age-related decreases in frequency selectivity. Both groups demonstrated a capacity for segregating the A and B tones based on differences in harmonic spacing, as predicted. However, despite our acoustic controls the older adults showed significantly less segregation of the 6ST stimuli, indicating that there are additional age-related changes in auditory streaming, which make them less likely to segregate in response to harmonic spacing differences. Additionally, older adults showed significantly better overall performance on the task than younger adults, indicating that the age differences are not simply due to age-related deficits in task execution. The ABA intervals were presented either continuously, or with 5-second interruptions prior to each trial that have previously been shown to “reset” perceptual streaming back to an integrated percept (Cusack, Deeks, Aikman, & Carlyon, 2004). For both age groups interruptions preceding the ABA intervals were shown to be capable of resulting in decreased segregation, as predicted. Targets were presented at 4 time points (2, 4, 6, and 8 seconds) in order to test for age differences in the time course of streaming. In the results for the 8-semitone stimuli, we observed strong evidence for delayed build-up in older adults, in response to the Gap condition. However, this evidence was not statistically conclusive and future experiments are needed determine the effect’s validity. / Thesis (Master, Psychology) -- Queen's University, 2011-09-20 10:50:27.01

Neural circuits that mediate complex behaviors contain several cell types, yet little is known about the role of each cell type within these circuits. An example problem in the auditory domain is how cortical circuits process complex natural sounds amidst competing stimuli from different spatial sources, also known as the "cocktail party effect". A pre-study recorded cortical responses in songbirds and found that neurons are broadly tuned to sound location when only one sound is present; when a competing stimulus is introduced, neurons sharpen their spatial tuning. These results were visualized by "spatial grids" that show preferred sound source locations in the presence of competing stimuli. These experiments motivated a computational model which proposed that lateral inhibition between spatially tuned channels within cortex is a key mechanism for spatial sound segregation. Cortical circuits are known to contain both excitatory cells and subpopulations of inhibitory interneurons, the roles of which can be probed in vivo with optogenetic techniques. Motivated by these past results and the optogenetic tools readily available in the mouse model, I present experimental and computational approaches in uncovering the cortical circuits that aid in solving the cocktail party problem in mouse auditory cortex (ACx). First, I probe the role of parvalbumin-expressing (PV) interneurons in solving the cocktail party problem using optogenetic and electrophysiological techniques. I found that mice exhibit similar cortical spatial grids as in songbirds, and optogenetic suppression of PV neurons reduces discriminability between dynamic sounds in both clean and masked presentations of spatially distributed stimuli. To mechanistically explain these results, I create a two-layer computational model of ACx with PV subpopulations that respond to distinct temporal stimulus features. I found that differentially weighing inhibition from these interneurons captures the range of neural discriminability performances found in cortex and the effects of optogenetically suppressing PV cells. Next, I analyze the population coding of neurons during the cocktail party problem. Here, I found that a relatively compact and diverse population of neurons within cortex is sufficient for encoding sounds from competing spatial locations. Finally, I determine how changes in behavioral states via tone extinction tasks affect activity in ACx and medial prefrontal cortex (mPFC). Results show that alpha and beta oscillations (8-18 Hz) in response to unrewarded tones exhibited immediate and robust increases in both regions prior to behavioral changes. When subjects learned to suppress behavioral responses, coherence at 8-18 Hz between ACx and mPFC was enhanced and spiking at ACx in response to the unrewarded tone was decreased. Taken together, this work advances the knowledge of both bottom-up and top-down circuit mechanisms underlying the cocktail party problem. / 2024-01-16T00:00:00Z

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The objective of this dissertation research is to identify sounds that grab a listener's attention. These sounds that draw a person's attention are sounds that are considered salient. The focus here will be on investigating the role of saliency in the auditory attentional process. In order to identify these salient sounds, we have developed a computational auditory saliency model inspired by our understanding of the human auditory system and auditory perception. By identifying salient sounds we can obtain a better understanding of how sounds are processed by the auditory system, and in particular, the key features contributing to sound salience. Additionally, studying the salience of different auditory stimuli can lead to improvements in the performance of current computational models in several different areas, by making use of the information obtained about what stands out perceptually to observers in a particular scene. Auditory saliency also helps to rapidly sort the information present in a complex auditory scene. Since our resources are finite, not all information can be processed equally. We must, therefore, be able to quickly determine the importance of different objects in a scene. Additionally, an immediate response or decision may be required. In order to respond, the observer needs to know the key elements of the scene. The issue of saliency is closely related to many different areas, including scene analysis. The thesis provides a comprehensive look at auditory saliency. It explores the advantages and limitations of using auditory saliency models through different experiments and presents a general computational auditory saliency model that can be used for various applications.

How do we know that a melody is a melody? In other words, how does the human brain extract melody from a polyphonic musical context? This thesis begins with a theoretical presentation of musical auditory scene analysis (ASA) in the context of predictive coding and rule-based approaches and takes methodological and analytical steps to evaluate selected components of a proposed integrated framework for musical ASA, unified by prediction. Predictive coding has been proposed as a grand unifying model of perception, action and cognition and is based on the idea that brains process error to refine models of the world. Existing models of ASA tackle distinct subsets of ASA and are currently unable to integrate all the acoustic and extensive contextual information needed to parse auditory scenes. This thesis proposes a framework capable of integrating all relevant information contributing to the understanding of musical auditory scenes, including auditory features, musical features, attention, expectation and listening experience, and examines a subset of ASA issues - timbre perception in relation to musical training, modelling temporal expectancies, the relative salience of musical parameters and melody extraction - using probabilistic approaches. Using behavioural methods, attention is shown to influence streaming perception based on timbre more than instrumental experience. Using probabilistic methods, information content (IC) for temporal aspects of music as generated by IDyOM (information dynamics of music; Pearce, 2005), are validated and, along with IC for pitch and harmonic aspects of the music, are subsequently linked to perceived complexity but not to salience. Furthermore, based on the hypotheses that a melody is internally coherent and the most complex voice in a piece of polyphonic music, IDyOM has been extended to extract melody from symbolic representations of chorales by J.S. Bach and a selection of string quartets by W.A. Mozart.

Thesis (Ph. D.)--Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 156-168).

Current theories of auditory attention are largely based upon studies examining either the presentation of a single auditory stimulus or requiring the identification and labeling of stimuli presented sequentially. Whether or not these theories apply in more complex ecologically-valid environments where multiple sound sources are simultaneously active is still unknown. This study examined the pattern of neuromagnetic responses elicited when participants had to perform a search in an auditory language-based `scene` for a stimulus matching an imperative target held in working memory. The analysis of source waveforms revealed left lateralized patterns of activity that distinguished target present from target absent trials. Similar source waveform amplitudes were found when the target was presented in the left or right hemispace. The results suggest that auditory search for speech sounds engage a left lateralized process in the superior temporal gyrus.

Current theories of auditory attention are largely based upon studies examining either the presentation of a single auditory stimulus or requiring the identification and labeling of stimuli presented sequentially. Whether or not these theories apply in more complex ecologically-valid environments where multiple sound sources are simultaneously active is still unknown. This study examined the pattern of neuromagnetic responses elicited when participants had to perform a search in an auditory language-based `scene` for a stimulus matching an imperative target held in working memory. The analysis of source waveforms revealed left lateralized patterns of activity that distinguished target present from target absent trials. Similar source waveform amplitudes were found when the target was presented in the left or right hemispace. The results suggest that auditory search for speech sounds engage a left lateralized process in the superior temporal gyrus.