Magnetic resonance imaging, through its sensitivity to ionic environments that modulate membrane potential, enables noninvasive assessment of biological systems.
Maximilian Nentwich, Marcin Leszczynski ... Lucas C Parra
A new computational model improves estimation of Granger connectivity by removing spurious effects of external inputs, and estimation of linear encoding models by removing spurious effects of recurrent connections.
Mechanistic modeling with low-rank recurrent networks uncovers the relationship between network connectivity, neural dynamics, and selection modulation mechanisms in context-dependent computation.