The organizing principles of neural avalanches: cell assemblies in the cortex. Trends Neurosci

Section of Neural Network Physiology, National Institute of Mental Health, Porter Neuroscience Research Center, 35 Convent Drive, Bethesda, MD 20892, USA.
Trends in Neurosciences (Impact Factor: 13.56). 04/2007; 30(3):101-10. DOI: 10.1016/j.tins.2007.01.005
Source: PubMed


Neuronal avalanches are spatiotemporal patterns of neuronal activity that occur spontaneously in superficial layers of the mammalian cortex under various experimental conditions. These patterns reflect fast propagation of local synchrony, display a rich spatiotemporal diversity and recur over several hours. The statistical organization of pattern sizes is invariant to the choice of spatial scale, demonstrating that the functional linking of cortical sites into avalanches occurs on all spatial scales with a fractal organization. These features suggest an underlying network of neuronal interactions that balances diverse representations with predictable recurrence, similar to what has been theorized for cell assembly formation. We propose that avalanches reflect the transient formation of cell assemblies in the cortex and discuss various models that provide mechanistic insights into the underlying dynamics, suggesting that they arise in a critical regime.

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Available from: Dietmar Plenz, May 06, 2014
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    • "The emergence of scale-invariant order from the interaction of local elements is a hallmark of systems at criticality (Plenz and Thiagarajan, 2007; Chialvo, 2010; Plenz and Niebur, 2014). "
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    ABSTRACT: Spontaneous fluctuations in neuronal activity emerge at many spatial and temporal scales in cortex. Population measures found these fluctuations to organize as scale-invariant neuronal avalanches, suggesting cortical dynamics to be critical. Macroscopic dynamics, though, depend on physiological states and are ambiguous as to their cellular composition, spatiotemporal origin, and contributions from synaptic input or action potential (AP) output. Here, we study spontaneous firing in pyramidal neurons (PNs) from rat superficial cortical layers in vivo and in vitro using 2-photon imaging. As the animal transitions from the anesthetized to awake state, spontaneous single neuron firing increases in irregularity and assembles into scale-invariant avalanches at the group level. In vitro spike avalanches emerged naturally yet required balanced excitation and inhibition. This demonstrates that neuronal avalanches are linked to the global physiological state of wakefulness and that cortical resting activity organizes as avalanches from firing of local PN groups to global population activity.
    eLife Sciences 07/2015; 4. DOI:10.7554/eLife.07224 · 9.32 Impact Factor
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    • "These cell assemblies are assumed to form the building blocks of cognition . This idea has a long tradition in brain theory (Hebb 1949; Braitenberg 1978; Milner 1957; Fuster 2003, 2009; Palm 1982; Abeles 1991; Plenz and Thiagarajan 2007; Singer et al. 1997; Engel and Singer 2001; Harris 2005; Ponzi and Wickens 2010; Gerstein et al. 1989). As cell assemblies may be the neurobiological vehicles of perception, action, attention , memory, decision, concepts, language and thought, they offer a perspective on cognitive theorizing that unites Marr's (computational, symbolic-algorithmic and neuronal) levels of neurocognitive models (Marr 1982). "
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    ABSTRACT: Cognitive theory has decomposed human mental abilities into cognitive (sub) systems, and cognitive neuroscience succeeded in disclosing a host of relationships between cognitive systems and specific structures of the human brain. However, an explanation of why specific functions are located in specific brain loci had still been missing, along with a neurobiological model that makes concrete the neuronal circuits that carry thoughts and meaning. Brain theory, in particular the Hebb-inspired neurocybernetic proposals by Braitenberg, now offers an avenue toward explaining brain-mind relationships and to spell out cognition in terms of neuron circuits in a neuromechanistic sense. Central to this endeavor is the theoretical construct of an elementary functional neuronal unit above the level of individual neurons and below that of whole brain areas and systems: the distributed neuronal assembly (DNA) or thought circuit (TC). It is shown that DNA/TC theory of cognition offers an integrated explanatory perspective on brain mechanisms of perception, action, language, attention, memory, decision and conceptual thought. We argue that DNAs carry all of these functions and that their inner structure (e.g., core and halo subcomponents), and their functional activation dynamics (e.g., ignition and reverberation processes) answer crucial localist questions, such as why memory and decisions draw on prefrontal areas although memory formation is normally driven by information in the senses and in the motor system. We suggest that the ability of building DNAs/TCs spread out over different cortical areas is the key mechanism for a range of specifically human sensorimotor, linguistic and conceptual capacities and that the cell assembly mechanism of overlap reduction is crucial for differentiating a vocabulary of actions, symbols and concepts.
    Biological Cybernetics 06/2014; 108(5). DOI:10.1007/s00422-014-0603-9 · 1.71 Impact Factor
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    • "The implication is that for any particular TP pattern, an accompanying and spatially predictable TN network is required in order to stabilize the global metabolic activity. It has been argued that the brain operates at or near a critical state [23]–[28]. This is proposed to allow optimal information processing and the rapid and efficient exploration of multiple different network states. "
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    ABSTRACT: Functional neuroimaging reveals both increases (task-positive) and decreases (task-negative) in neural activation with many tasks. Many studies show a temporal relationship between task positive and task negative networks that is important for efficient cognitive functioning. Here we provide evidence for a spatial relationship between task positive and negative networks. There are strong spatial similarities between many reported task negative brain networks, termed the default mode network, which is typically assumed to be a spatially fixed network. However, this is not the case. The spatial structure of the DMN varies depending on what specific task is being performed. We test whether there is a fundamental spatial relationship between task positive and negative networks. Specifically, we hypothesize that the distance between task positive and negative voxels is consistent despite different spatial patterns of activation and deactivation evoked by different cognitive tasks. We show significantly reduced variability in the distance between within-condition task positive and task negative voxels than across-condition distances for four different sensory, motor and cognitive tasks - implying that deactivation patterns are spatially dependent on activation patterns (and vice versa), and that both are modulated by specific task demands. We also show a similar relationship between positively and negatively correlated networks from a third 'rest' dataset, in the absence of a specific task. We propose that this spatial relationship may be the macroscopic analogue of microscopic neuronal organization reported in sensory cortical systems, and that this organization may reflect homeostatic plasticity necessary for efficient brain function.
    PLoS ONE 06/2014; 9(6):e98500. DOI:10.1371/journal.pone.0098500 · 3.23 Impact Factor
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