A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior.

Registration Now Open for

ADOS-2 Clinical Training Workshop

November 25-27. Click here for info!

TitleA Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior.
Publication TypeJournal Article
Year of Publication2017
AuthorsBassett, DS, Mattar, MG
JournalTrends Cogn Sci
Volume21
Issue4
Pagination250-264
Date Published2017 04
ISSN1879-307X
KeywordsBehavior, Brain, Humans, Learning, Nerve Net
Abstract

Humans adapt their behavior to their external environment in a process often facilitated by learning. Efforts to describe learning empirically can be complemented by quantitative theories that map changes in neurophysiology to changes in behavior. In this review we highlight recent advances in network science that offer a sets of tools and a general perspective that may be particularly useful in understanding types of learning that are supported by distributed neural circuits. We describe recent applications of these tools to neuroimaging data that provide unique insights into adaptive neural processes, the attainment of knowledge, and the acquisition of new skills, forming a network neuroscience of human learning. While promising, the tools have yet to be linked to the well-formulated models of behavior that are commonly utilized in cognitive psychology. We argue that continued progress will require the explicit marriage of network approaches to neuroimaging data and quantitative models of behavior.

DOI10.1016/j.tics.2017.01.010
Alternate JournalTrends Cogn. Sci. (Regul. Ed.)
PubMed ID28259554
PubMed Central IDPMC5366087
Grant ListR01 DC009209 / DC / NIDCD NIH HHS / United States
R01 HD086888 / HD / NICHD NIH HHS / United States
R01 NS099348 / NS / NINDS NIH HHS / United States
R21 MH106799 / MH / NIMH NIH HHS / United States