Long-term implicit memory for sequential auditory patterns in humans

Abstract
Data availability
Article and author information
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Abstract

Memory, on multiple timescales, is critical to our ability to discover the structure of our surroundings, and efficiently interact with the environment. We combined behavioural manipulation and modelling to investigate the dynamics of memory formation for rarely reoccurring acoustic patterns. In a series of experiments, participants detected the emergence of regularly repeating patterns within rapid tone-pip sequences. Unbeknownst to them, a few patterns reoccurred every ~3 minutes. All sequences consisted of the same 20 frequencies and were distinguishable only by the order of tone-pips. Despite this, reoccurring patterns were associated with a rapidly growing detection-time advantage over novel patterns. This effect was implicit, robust to interference, and persisted up to 7 weeks. The results implicate an interplay between short (a few seconds) and long-term (over many minutes) integration in memory formation and demonstrate the remarkable sensitivity of the human auditory system to sporadically reoccurring structure within the acoustic environment.

Data availability

The datasets for this study can be found in the OSF repository: Dataset URL: https://osf.io/dtzs3/DOI 10.17605/OSF.IO/DTZS3

The following data sets were generated

1. Bianco R
2. Harrison P
3. Pearce M
4. Chait M
(2020) Long-term implicit memory for sequential auditory patterns in humans
Open Science Framework, DOI 10.17605/OSF.IO/DTZS3.

https://osf.io/dtzs3/

Article and author information

Author details

Roberta Bianco

UCL Ear Institute, University College London, London, United Kingdom

For correspondence
r.bianco@ucl.ac.uk

Competing interests
The authors declare that no competing interests exist.

"This ORCID iD identifies the author of this article:" 0000-0001-9613-8933
Peter M C Harrison

Computational Auditory Perception Research Group, Max-Planck-Institut für empirische Ästhetik, Frankfurt am Main, Germany

Competing interests
The authors declare that no competing interests exist.

"This ORCID iD identifies the author of this article:" 0000-0002-9851-9462
Mingyue Hu

UCL Ear Institute, University College London, London, United Kingdom

Competing interests
The authors declare that no competing interests exist.
Cora Bolger

UCL Ear Institute, University College London, London, United Kingdom

Competing interests
The authors declare that no competing interests exist.
Samantha Picken

UCL Ear Institute, University College London, London, United Kingdom

Competing interests
The authors declare that no competing interests exist.
Marcus T Pearce

School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom

Competing interests
The authors declare that no competing interests exist.
Maria Chait

UCL Ear Institute, University College London, London, United Kingdom

Competing interests
The authors declare that no competing interests exist.

"This ORCID iD identifies the author of this article:" 0000-0002-7808-3593

Funding

Biotechnology and Biological Sciences Research Council (BB/P003745/1)

Maria Chait

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: The research ethics committee of University College London approved the experiment, and written informed consent was obtained from each participant.[Project ID Number]: 1490/009

Copyright

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.