by Muhua Zheng (University of Barcelona). Structural connectivity in the brain is typically studied by reducing its observation to a single spatial resolution. However, the brain possesses a rich architecture organized over multiple scales linked to one another. We explored the multiscale organization of human connectomes using datasets of healthy subjects reconstructed at five different … Continue reading Muhua Zheng – Geometric renormalization unravels self-similarity of the multiscale human connectome (spotlight talk)
by Benedetta Mariani (University of Padova, Padova Neuroscience Center). The critical brain hypothesis has been extensively studied since the first experimental signature , because criticality optimizes important quantities for information processing. However, the hypothesis remains debated. On the one hand, the actual foundations of the hypothesis – the self-organization process and how it manifests during … Continue reading Benedetta Mariani – Brain criticality beyond resting state neuronal avalanches (spotlight talk)
by Joel Hochstetter (University of Sidney). The brain's efficient information processing ability has inspired the development of neuromorphic systems constructed from nanoscale material structures exhibiting ``brain-like'' responses to electrical stimulation. Here we report on one such system, neuromorphic nanowire networks. Bio-inspired self-assembly of these nanowire networks confers a complex neural network-like structure, while nanowire-nanowire junctions … Continue reading Joel Hochstetter – Avalanches and the edge-of-chaos in neuromorphic nanowire networks (spotlight talk)
by Daniel Korchinski (Complexity Science Group, University of Calgary, Stewart Blusson Quantum Matter Institute, University of British Columbia). Spreading processes on networks are ubiquitous in both human-made and natural systems. Understanding their behavior is of broad interest; from the control of epidemics to understanding brain dynamics. While in some cases there exists a clear separation … Continue reading Daniel Korchinski – Criticality without time-scale separation between avalanche initiation and spreading (spotlight talk)
by Kanika Bansal (CCDC US Army Research Laboratory & Columbia University, New York, NY, USA). Analyses of neural avalanches, in combination with other methods rooted in complex systems theory, provide support for the brain criticality hypothesis, however, it is still unclear how the criticality framework would account for the omnipresent cognitive variability, across individuals and … Continue reading Kanika Bansal – Cognitive connotations of neural avalanches in human brain dynamics (spotlight talk)
by Afshin Montakhab & Mahsa Khoshkhouy (Shiraz University, Iran) Email me! Critical brain hypothesis has been intensively studied both in experimental and theoreticalneuroscience over the past two decades. However, some important issues are still debated: (i) What is the critical point the brain operates at? (ii) What is the regulatorymechanism that brings about and maintains … Continue reading Virtual poster #31 – Self-organization, synchronization and criticality in a network model of cortical neurons
by Silvia Scarpetta (Salerno). Many experimental results, both in-vivo and in-vitro, support the idea that the brain cortex operates near a critical point, and at the same time works as associative memory, with a reservoir of multiple precise spatio-temporal patterns. However the mechanisms at the basis of these observations are still not clear. We study a model of spiking neurons, with recurrent connections that result from learning a set of spatio-temporal periodic patterns with a spike-timing dependent plasticity rule and a global inhibition. We investigate the ability of the network to store and selectively replay multiple spatio-temporal patterns of spikes, with a combination of spatial population and phase-of-spike code. After the learning stage, we study the dynamics of the network induced by a brief cue stimulation, and we evaluate the storage capacity
by Amin Safaeesirat, Saman Moghimi-Araghi (Physics Department, Sharif University of Technology). The presence of both critical behavior and oscillating patterns in brain dynamics is a very interesting issue. In this work, we have considered a model for a neuron population, where each neuron is modeled by an over-damped rotator. We have found that in the space of external parameters, there exist some regions that system shows synchronization. Interestingly, just at the transition point, the avalanche statistics show a power-law behavior. Also, in the case of small systems, the (partially) synchronization and power-law behavior can happen at the same time.
By Adrian Ponce Alvarez et al. (Pompeu Fabra University, Barcelona, Spain) How does the local collective activity of brain regions determine the global brain state related to consciousness? To answer this question, we modeled loss of consciousness using anesthetic agents in macaque monkeys while recording the collective activity of brain regions using functional MRI. We … Continue reading Virtual poster #19 – Macroscopic quantities of collective brain activity during wakefulness and anesthesia
By Nicola Pedreschi, Alain Barrat, Demian Battaglia et al. Neural computation is associated with the emergence, reconfiguration, and dissolution of cell assemblies in the context of varying oscillatory states. Here, we describe the complex spatiotemporal dynamics of cell assemblies through temporal network formalism. We use a sliding window approach to extract sequences of networks of information sharing among single units in hippocampus and entorhinal cortex during anesthesia and study how global and node-wise functional connectivity properties evolve through time and as a function of changing global brain state (theta vs. slow-wave oscillations)...