@article {2017,
	title = {Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory},
	journal = {Cognitive Science},
	volume = {42},
	year = {2018},
	month = {01/2018},
	pages = {43-76},
	abstract = {A basic function of cognition is to detect regularities in sensory input to facilitate the prediction and recognition of future events. It has been proposed that these implicit expectations arise from an internal predictive coding model, based on knowledge acquired through processes such as statistical learning, but it is unclear how different types of statistical information affect listeners{\textquoteright} memory for auditory stimuli. We used a combination of behavioral and computational methods to investigate memory for non-linguistic auditory sequences. Participants repeatedly heard tone sequences varying systematically in their information-theoretic properties. Expectedness ratings of tones were collected during three listening sessions, and a recognition memory test was given after each session. Information-theoretic measures of sequential predictability significantly influenced listeners{\textquoteright} expectedness ratings, and variations in these properties had a significant impact on memory performance. Predictable sequences yielded increasingly better memory performance with increasing exposure. Computational simulations using a probabilistic model of auditory expectation suggest that listeners dynamically formed a new, and increasingly accurate, implicit cognitive model of the information-theoretic structure of the sequences throughout the experimental session.},
	keywords = {Auditory perception, computational modeling, Expectation, Information theory, music cognition, Predictive coding, Recognition memory},
	issn = {1551-6709},
	doi = {10.1111/cogs.12477},
	url = {http://dx.doi.org/10.1111/cogs.12477},
	author = {Agres, Kat and Abdallah, Samer and Pearce, Marcus}
}
@article {2016,
	title = {Workshop on Auditory Neuroscience, Cognition, and Modeling},
	journal = {Psychomusicology: Music, Mind, and Brain},
	volume = {26},
	year = {2016},
	month = {09/2016},
	pages = {288-292},
	abstract = {Early 2016 saw the first international Workshop on Auditory Neuroscience, Cognition and Modeling, hosted by Queen Mary University of London. The workshop aimed to bring together cognitive scientists, neuroscientists, and computer scientists working on sound, music, and speech processing. Engendering broad interest, 96 participants from a wide range of backgrounds attended for a day of talks, poster presentations, and lively discussion. This report provides an overview of the event, summarizing the 3 keynote talks, and highlighting the major themes from the oral presentation and poster sessions. A summary is provided in closing, touching upon main outcomes and considerations for future research within this alignment of fields.},
	keywords = {auditory neuroscience, computational modeling, music cognition, speech perception, WANCM},
	author = {Agres, Kat R and Sauv{\'e}, Sarah A}
}
