Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses

By Amos Arieli, A. Sterkin, A. Grinvald, Ad M. H. J. Aertsen. 1996

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Structural Synaptic Plasticity Has High Memory Capacity and Can Explain Graded Amnesia, Catastrophic Forgetting, and the Spacing Effect (2014, background): “, during phases of ongoing activity [125]) will strongly correlate with the number of synapses on its dendrite (cf.”
Modelling event-related responses in the brain (2005, methodology): “On one hand, classical studies have shown that event-related potentials are associated with amplitude changes in the MEG/EEG signal that represent a linear summation of an impulse response and ongoing activity (Arieli et al., 1996; Shah et al., 2004).”
Imaging large-scale neural activity with cellular resolution in awake, mobile mice. (2007, unknown): “This effect could be due to positional and postural differences of the mouse with respect to the fixed air stimulus (see Experimental Procedures), differences in the evoked running behavior of the mouse (Figure 5E, right column), or possibly a variable response due to differences in background activ”
Prediction of human errors by maladaptive changes in event-related brain networks (2008, background): “The exploration of interactions between ongoing and eventrelated brain activity provides important clues about the dynamics and adaptability of cognitive processes (29, 47, 48).”
Cellular and network mechanisms of rhythmic recurrent activity in neocortex (2000, background): “Functional consequences of persistent activity In vivo , the up and down states of spontaneous cortical network activity are associated with marked increases and decreases, respectively, in the responses to sensory stimul”
Spatiotemporal dynamics of the brain at rest - Exploring EEG microstates as electrophysiological signatures of BOLD resting state networks (2012, background): “, 1998) and the pre-stimulus states also have been shown to influence the subsequent task-evoked BOLD response (Arieli et al., 1996; Britz et al., 2009).”
Regional coherence changes in the early stages of Alzheimer's disease: A combined structural and resting-state functional MRI study (2007, background): “However, recent studies have suggested that coherent spontaneous activity is expressed in larger neuronal populations (Arieli et al., 1996; Leopold et al., 2003).”
Resting‐state networks show dynamic functional connectivity in awake humans and anesthetized macaques (2013, background): “Previous work across multiple spatial scales and modalities has implicated spontaneous brain activity as a source of variability in evoked responses [Arieli et al., 1996; Azouz and Gray, 1999; Becker et al., 2011; Fiser et al., 2004; Fox et al., 2006b], perception [Hesselmann et al.”
The Dynamics of Active Categorical Perception in an Evolved Model Agent (2003, background): “Thus, the particular trajectory that the agent follows depends on the interplay between the internal neural state and the changing (x, y) location of the object in the agent's field of view.”
Scene segmentation by spike synchronization in reciprocally connected visual areas. II. Global assemblies and synchronization on larger space and time scales (2002, methodology): “We found that our model produced the same pattern of correlograms as in the experiments only for many simultaneously activated assemblies (Fig. 3). A probable explanation that also resolves the conflicts mentioned above could be that the real brain is actually in a ‘many-activated-assemblies’ regime”
Neural network dynamics. (2005, background): “…provide an example of the problem of making internallygeneratedactivitysensitivetoexter-nal task, self-sustained neural activity must be to those aspects of the stimulus that being remembered (Compte et al. 2000, et al. 2000). widespread feature of neural systems, and oscillating neural network”
Is perception discrete or continuous? (2003, background): “Thus, visual cortex actually behaves as a deterministic rather than noisy processing device, once the ongoing activity is taken into account (from [ 58 ]).”
Hippocampal sharp wave‐ripple: A cognitive biomarker for episodic memory and planning (2015, background): “15), including locally confined events, sweeping patterns from single or multiple locations, collisions, and reflections, similar to propagating events described previously in the neocortex (Arieli et al., 1996; Roland et al., 2006; Benucci et al., 2007; Xu et al., 2007).”