Predicting slow and fast neuronal dynamics with machine learning.
Sign Up to like & getrecommendations! Published in 2019 at "Chaos"
DOI: 10.1063/1.5119723
Abstract: In this work, we employ reservoir computing, a recently developed machine learning technique, to predict the time evolution of neuronal activity produced by the Hindmarsh-Rose neuronal model. Our results show accurate short- and long-term predictions… read more here.
Keywords: machine; neuronal dynamics; machine learning; fast neuronal ... See more keywords
Imaging localized neuronal activity at fast time scales through biomechanics
Sign Up to like & getrecommendations! Published in 2019 at "Science Advances"
DOI: 10.1126/sciadv.aav3816
Abstract: Noninvasive measurement of fast neuronal activity, based on tissue stiffness maps from MRI elastography, is presented. Mapping neuronal activity noninvasively is a key requirement for in vivo human neuroscience. Traditional functional magnetic resonance (MR) imaging,… read more here.
Keywords: neuronal activity; time scales; biomechanics; fast neuronal ... See more keywords