Inhibition-Dominated Rich-Club Shapes Dynamics in Cortical Microcircuits

Hafizi, Hadi; Nigam, Sunny; Barnathan, Josh; Ren, Naixin; Stevenson, I. H.; Masmanidis, Sotiris C.; Newman, Ehren L.; Sporns, Olaf; Beggs, John M.

doi:10.1101/2021.05.07.443074

Cited by 6 publications

(6 citation statements)

References 111 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Future comparisons incorporating the interplay of connectivity organization with other neuronal and cell types are also of great interest. Other cell types (e.g., inhibitory neurons, astrocytes) have a crucial role in regulating activity within a brain region and play an important role in the branching and spiking behavior of pyramidal neurons in health (Bonifazi et al, 2009;Kanner et al, 2018;Hafizi et al, 2021;Kajiwara et al, 2021) as well as in disease (Marín, 2012;Dossi et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Common Microscale and Macroscale Principles of Connectivity in the Human Brain

et al. 2022

View full text Add to dashboard Cite

General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

Section: Discussionmentioning

confidence: 99%

Common Microscale and Macroscale Principles of Connectivity in the Human Brain

et al. 2022

View full text Add to dashboard Cite

show abstract

“…GABAergic interneurons act as network hubs [75][76][77] regulating the synchronization of spontaneous activity that is critical for formation of connections and plasticity throughout development as well as proper brain function later on 75,[77][78][79] . Here, we examined whether the perturbation of GABAA receptors would alter formation of functional connectivity, and thereby the outcome of the generative models.…”

Section: Effect Of Gabaa Receptor Antagonism On Generative Network Wi...mentioning

confidence: 99%

“…Previous studies have shown that GABAergic interneurons can act as network hubs and regulate synchronicity of spontaneous activity between neurons that is critical for the formation of connections [93][94][95] . The role of GABAergic interneurons during development is also relevant for understanding their function in more mature brain circuits 93,94,96,97 .…”

Section: Effect Of Gabaa Receptor Antagonism On Network Development A...mentioning

confidence: 99%

Homophilic wiring principles underpin neuronal network topologyin vitro

Akarca

Dunn

Hornauer

et al. 2022

Preprint

View full text Add to dashboard Cite

Economical efficiency has been a popular explanation for how networks organize themselves within the developing nervous system. However, the precise nature of the economic negotiations governing this self- organization remain unclear. We approach this problem by combining high-density microelectrode array (HD-MEA) recordings, which allow for detailed characterization of the ongoing extracellular electrical activity of individual neurons in vitro, with a generative modeling approach capable of simulating network formation. The best fitting model uses a homophilic generative wiring principle in which neurons form connections to other neurons with similar connectivity patterns to themselves. This homophily-based mechanism for neuronal network emergence accounts for a wide range of observations that are described, but not sufficiently explained, by traditional analyses of network topology. Using rodent and human monolayer and organoid cultures, we show that homophilic generative mechanisms account for the topology of emerging cellular functional connectivity, representing an important wiring principle and determining factor of neuronal network formation in vitro.

show abstract

“…In the context of explaining the density of synergy in the rich club, the strong positive relationship between synergy and mutual information at synaptic timescales suggested that the activity of rich club neurons is generally more correlated than the activity of neurons outside the rich club. Indeed, rich clubs consist of a disproportionate number of inhibitory neurons with correlated spiking activity that synergistically predict the dynamics of the rest of the network [ 50 ].…”

Section: Pid In Actionmentioning

confidence: 99%

Revealing the Dynamics of Neural Information Processing with Multivariate Information Decomposition

Newman

Varley

Parakkattu

et al. 2022

Entropy

Self Cite

View full text Add to dashboard Cite

The varied cognitive abilities and rich adaptive behaviors enabled by the animal nervous system are often described in terms of information processing. This framing raises the issue of how biological neural circuits actually process information, and some of the most fundamental outstanding questions in neuroscience center on understanding the mechanisms of neural information processing. Classical information theory has long been understood to be a natural framework within which information processing can be understood, and recent advances in the field of multivariate information theory offer new insights into the structure of computation in complex systems. In this review, we provide an introduction to the conceptual and practical issues associated with using multivariate information theory to analyze information processing in neural circuits, as well as discussing recent empirical work in this vein. Specifically, we provide an accessible introduction to the partial information decomposition (PID) framework. PID reveals redundant, unique, and synergistic modes by which neurons integrate information from multiple sources. We focus particularly on the synergistic mode, which quantifies the “higher-order” information carried in the patterns of multiple inputs and is not reducible to input from any single source. Recent work in a variety of model systems has revealed that synergistic dynamics are ubiquitous in neural circuitry and show reliable structure–function relationships, emerging disproportionately in neuronal rich clubs, downstream of recurrent connectivity, and in the convergence of correlated activity. We draw on the existing literature on higher-order information dynamics in neuronal networks to illustrate the insights that have been gained by taking an information decomposition perspective on neural activity. Finally, we briefly discuss future promising directions for information decomposition approaches to neuroscience, such as work on behaving animals, multi-target generalizations of PID, and time-resolved local analyses.

show abstract

Inhibition-Dominated Rich-Club Shapes Dynamics in Cortical Microcircuits

Cited by 6 publications

References 111 publications

Common Microscale and Macroscale Principles of Connectivity in the Human Brain

Common Microscale and Macroscale Principles of Connectivity in the Human Brain

Homophilic wiring principles underpin neuronal network topologyin vitro

Revealing the Dynamics of Neural Information Processing with Multivariate Information Decomposition

Contact Info

Product

Resources

About