Dynamic representations in networked neural systems

Ju, Harang; Bassett, Danielle S.

doi:10.1038/s41593-020-0653-3

Cited by 66 publications

(62 citation statements)

References 127 publications

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“…These integrated, highly synchronous states fall abruptly apart, i.e., segregate, before the next integrated state is established. In that way, it is possible to develop dynamic representations flexibly since distinct states can be installed in different spatial configurations ( Tononi and Edelman, 1998 ; Deco and Kringelbach, 2016 ; Ju and Bassett, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Synchronous Brain Dynamics Establish Brief States of Communality in Distant Neuronal Populations

Seeber

Michel

2021

eNeuro

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Intrinsic brain dynamics co-fluctuate between distant regions in an organized manner during rest, establishing large-scale functional networks. We investigate these brain dynamics on a millisecond time scale by focusing on Electroencephalographic (EEG) source analyses. While synchrony is thought of as a neuronal mechanism grouping distant neuronal populations into assemblies, the relevance of simultaneous zero-lag synchronization between brain areas in humans remains largely unexplored. This negligence is due to the confound of volume conduction, leading inherently to temporal dependencies of source estimates derived from scalp EEG (and Magnetoencephalography, MEG), referred to as spatial leakage. Here, we focus on the analyses of simultaneous, i.e., quasi zerolag related, synchronization that cannot be explained by spatial leakage phenomenon. In eighteen subjects during rest with eyes closed, we provide evidence that first, simultaneous synchronization is present between distant brain areas and second, that this long-range synchronization is occurring in brief epochs, i.e., 54-80 milliseconds. Simultaneous synchronization might signify the functional convergence of remote neuronal populations. Given the simultaneity of distant regions, these synchronization patterns might relate to the representation and maintenance, rather than processing of information. This long-range synchronization is briefly stable, not persistently, indicating flexible spatial reconfiguration pertaining to the establishment of particular, re-occurring states. Taken together, we suggest that the balance between temporal stability and spatial flexibility of long-range, simultaneous synchronization patterns is characteristic of the dynamic coordination of large-scale functional brain networks. As such, quasi zero-phase related EEG source fluctuations are physiologically meaningful if spatial leakage is considered appropriately. SignificanceSynchrony is suggested as a mechanism for coordinating distant neuronal populations. Yet, simultaneous (i.e., zero-lag) synchronization between remote brain regions in humans is difficult to demonstrate, because volume conduction in EEG/MEG recordings causes spurious zero-lag relations.Here, we investigate actual zero-lag relations and systematically compare them to the residual bias due to spatial smoothness of EEG source estimates. We indeed report simultaneous synchronization between distant brain regions. These synchronization patterns manifest variably in time. We suggest that simultaneous synchronization is relevant when studying the dynamic, large-scale functional architecture in humans.

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Section: Discussionmentioning

confidence: 99%

Synchronous Brain Dynamics Establish Brief States of Communality in Distant Neuronal Populations

Seeber

Michel

2021

eNeuro

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“…The brain does not merely passively perceives input and controls body action, but rather actively creates perceptual experiences from sensory stimuli accumulating from the body's internal milieu (interoceptive and proprioceptive) and from the surroundings (exteroceptive), in a generative manner. Mental representations dynamically evolve over time, in the form of nerve impulses that propagate in circuits and functional network assemblies, in order to anticipate, decode and respond to complex concrete (physical) and abstract (social) variables in the environment, based on prior information (Ju and Bassett, 2020;Teufel and Fletcher, 2020). Relevant to this argument, it has been acknowledged that in natural settings, brain activity is neither predefined nor fixed, but rather continuous and transient (Dmochowski et al, 2012;Zioga et al, 2018).…”

Section: The Embodied Brain and The Grounding Of The Mindmentioning

confidence: 99%

The Embodied-Enactive-Interactive Brain: Bridging Neuroscience and Creative Arts Therapies

Vaisvaser

2021

Front. Psychol.

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The recognition and incorporation of evidence-based neuroscientific concepts into creative arts therapeutic knowledge and practice seem valuable and advantageous for the purpose of integration and professional development. Moreover, exhilarating insights from the field of neuroscience coincide with the nature, conceptualization, goals, and methods of Creative Arts Therapies (CATs), enabling comprehensive understandings of the clinical landscape, from a translational perspective. This paper contextualizes and discusses dynamic brain functions that have been suggested to lie at the heart of intra- and inter-personal processes. Touching upon fundamental aspects of the self and self-other interaction, the state-of-the-art neuroscientific-informed views will shed light on mechanisms of the embodied, predictive and relational brain. The conceptual analysis introduces and interweaves the following contemporary perspectives of brain function: firstly, the grounding of mental activity in the lived, bodily experience will be delineated; secondly, the enactive account of internal models, or generative predictive representations, shaped by experience, will be defined and extensively deliberated; and thirdly, the interpersonal simulation and synchronization mechanisms that support empathy and mentalization will be thoroughly considered. Throughout the paper, the cross-talks between the brain and the body, within the brain through functionally connected neural networks and in the context of agent-environment dynamics, will be addressed. These communicative patterns will be elaborated on to unfold psychophysiological linkage, as well as psychopathological shifts, concluding with the neuroplastic change associated with the formulation of CATs. The manuscript suggests an integrative view of the brain-body-mind in contexts relevant to the therapeutic potential of the expressive creative arts and the main avenues by which neuroscience may ground, enlighten and enrich the clinical psychotherapeutic practice.

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“…Recent work suggests that dynamic representations can be understood as switches in activity of neural networks (Ju and Bassett, 2020). Within this framework, one can envision action sequences as neural states unfolding over time.…”

Section: Encoding Order As Attractor State Switches In the Rnnmentioning

confidence: 99%

Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits

Calderon

Verguts

Frank

2021

Preprint

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Adaptive sequential behavior is a hallmark of human cognition. In particular, humans can learn to produce precise spatiotemporal sequences given a certain context. For instance, musicians can not only reproduce learned action sequences in a context-dependent manner, they can also quickly and flexibly reapply them in any desired tempo or rhythm without overwriting previous learning. Existing neural network models fail to account for these properties. We argue that this limitation emerges from the fact that order information (i.e., the position of the action) and timing (i.e., the moment of response execution) are typically stored in the same neural network weights. Here, we augment a biologically plausible recurrent neural network of cortical dynamics to include a basal ganglia-thalamic module which uses reinforcement learning to dynamically modulate action. This associative cluster-dependent chain (ACDC) model modularly stores order and timing information in distinct loci of the network. This feature increases computational power and allows ACDC to display a wide range of temporal properties (e.g., multiple sequences, temporal shifting, rescaling, and compositionality), while still accounting for several behavioral and neurophysiological empirical observations. Finally, we apply this ACDC network to show how it can learn the famous Thunderstruck song and then flexibly play it in a bossa nova rhythm without further training.

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Dynamic representations in networked neural systems

Cited by 66 publications

References 127 publications

Synchronous Brain Dynamics Establish Brief States of Communality in Distant Neuronal Populations

Synchronous Brain Dynamics Establish Brief States of Communality in Distant Neuronal Populations

The Embodied-Enactive-Interactive Brain: Bridging Neuroscience and Creative Arts Therapies

Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits

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