Mariana R Haddad, Flavia M Sarti
Sociodemographic determinants of health behaviors among Brazilian adolescents: Trends in physical activity and food consumption, 2009-2015
Appetite
using recent recurrent network architecture based reservoir computing approach propose numerically simulate model focused aspects flexible motor memory storage elementary movement patterns synaptic weights neural network patterns retrieved time simple static commands resulting motor memory flexible capable continuously modulate stored patterns modulation consists approximately linear inter extrapolation generating large space possible movements learned recurrent network thousand neurons trained manner corresponds realistic exercising scenario experimentally measured muscular activations kinetic data representing proprioceptive feedback network selfactive maintains recurrent flow activation even absence input feature resembles restingstate activity found human animal brain model involves concept neural outsourcing amounts permanent shifting computational load higher lowerlevel neural structures might help explain humans able execute learned skills fluent flexible manner without need attention details movement