Capacities and neural mechanisms for auditory statistical learning across species

• Published in: Hearing research Vol. 376; pp. 97 - 110
• Main Authors: Schiavo, Jennifer K., Froemke, Robert C.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.05.2019
• ISSN: 0378-5955; 1878-5891
• DOI: 10.1016/j.heares.2019.02.002

Statistical learning has been proposed as a possible mechanism by which individuals can become sensitive to the structures of language fundamental for speech perception. Since its description in human infants, statistical learning has been described in human adults and several non-human species as a general process by which animals learn about stimulus-relevant statistics. The neurobiology of statistical learning is beginning to be understood, but many questions remain about the underlying mechanisms. Why is the developing brain particularly sensitive to stimulus and environmental statistics, and what neural processes are engaged in the adult brain to enable learning from statistical regularities in the absence of external reward or instruction? This review will survey the statistical learning abilities of humans and non-human animals with a particular focus on communicative vocalizations. We discuss the neurobiological basis of statistical learning, and specifically what can be learned by exploring this process in both humans and laboratory animals. Finally, we describe advantages of studying vocal communication in rodents as a means to further our understanding of the cortical plasticity mechanisms engaged during statistical learning. We examine the use of rodents in the context of pup retrieval, which is an auditory-based and experience-dependent form of maternal behavior. •Statistical learning involves inferring generalities from limited exemplars.•Brain areas and neural mechanisms are beginning to be studied in human infants.•Neural representation and plasticity of mouse pup distress calls provides insight to statistical learning in animals.