Spontaneous and driven cortical activity: implications for computation.

By Dario L. Ringach. 2009

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In Cognitive Neuroscience

Citations in the corpus

Normalization as a canonical neural computation (2011, background): “The membrane potential of neurons is not only dependent on the afferent signals that are meant to drive the neuron but also on other signals originating from the rest of the brain in the form of ongoing activity”
Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons (2011, background): “In fact, several experimental studies arrive at the conclusion that external stimuli only modulate the highly stochastic spontaneous firing activity of cortical networks of neurons [7,8].”
Resting‐state networks show dynamic functional connectivity in awake humans and anesthetized macaques (2013, background): “…this view, demonstrating that the spontaneous modulations of activity are highly organized across a range of temporal and spatial scales with profiles and magnitudes similar to taskevoked patterns [for reviews see Bullock, 2003; Ringach, 2009, 2010; Sadaghiani et al., 2010; Vogels et al., 2005].”
Cortical State and Attention (2011, unknown): “jpg"/> Cortical activity, even in primary sensory areas, is not strictly determined by sensory input but reflects an interaction of external stimuli with spontaneous patterns that are produced endogenousl”
Dynamic functional connectivity: Promise, issues, and interpretations (2013, background): “Simultaneous EEG–fMRI— Scalp EEG offers a non-invasive, electrophysiological window into endogenous shifts in “brain states.””