Category: Virtual poster

By: Eli Muller Email me The biological mechanisms that allow the brain to balance flexibility and integration remain poorly understood. A potential solution to this mystery may lie in a unique aspect of neurobiology, which is that numerous brain systems contain diffuse synaptic connectivity. In this manuscript, we demonstrate that increasing diffuse cortical coupling within … Continue reading Virtual Poster #37 – Diffuse neural coupling mediates complex network dynamics through the formation of quasi-critical brain states

By: Lukasz Kusmierz, RIKEN Center for Brain Science Email me We propose an analytically tractable neural connectivity model with power-law distributed synaptic strengths. When threshold neurons with biologically plausible number of incoming connections are considered, our model features a continuous transition to chaos and can reproduce biologically relevant low activity levels and scale-free avalanches. In … Continue reading Virtual Poster #36 – Heavy-tailed synaptic weight distributions support critical dynamics

By: Sheng H. Wang J Matias Palva LabHiLife, University of Helsinki, FinlandNBE, Aalto University, Finland Email me Neuronal activity exhibits power-law dynamics throughout the scales of the nervous system. This has been thought to reflect conventional brain criticality, i.e., the brains operating near a continuous second-order phase transition between disorder and order. However, when neuronal … Continue reading Virtual Poster #35 – Critical bistability in human brain dynamics

By: Alexander Zhigalov, School of Psychology, University of Birmingham, UK Email me Scale-free neuronal dynamics and interareal correlations are emergent characteristics of spontaneous brain activity. How such dynamics and the anatomical patterns of neuronal connectivity are mutually related in brain networks has, however, remained unclear. We addressed this relationship by quantifying the network colocalization of … Continue reading Virtual Poster #34 – Modular co-organization of functional connectivity and scale-free dynamics in the human brain

By: Ruomin Zhu, School of Physics, the University of Sydney Email me  The rise of neuromorphic technologies brings artificial intelligence into a new regime. Not only because these systems respond to electrical stimuli in a way similar to biological synapses, but also because they exhibit memory and brain-like dynamics such as avalanches that cannot be … Continue reading Virtual Poster #32 – Information dynamics in neuromorphic nanowire networks

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: Nicole Voges Institut de Neuroscience de la Timone, UMR 7289, Aix-Marseille Université, Marseille, France Email me  Cognitive function arises from the coordinated activity of neural populations distributed over large-scale brain networks. However, it is challenging to understand how specific aspects of neural dynamics translate into operations of information processing, and, ultimately, cognitive functions. To … Continue reading Virtual Poster #30 – Information dynamic metrics track the emergence of cognitive information processing from neural circuit dynamics

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: Mengsen Zhang, Stanford University Email me The brain is a complex, nonlinear system, exhibiting ever-evolving patterns of activities even without external inputs or tasks. Such intrinsic dynamics plays key roles in cognitive functions and psychiatric disorders. A challenge is to link the intrinsic dynamics to the underlying structure, given the nonlinearity. Here we use … Continue reading Virtual Poster #27 – Complexity of intrinsic brain dynamics shaped by multiscale structural constraints

By: Marzieh Zare, Université de Montreal Email me Neuronal avalanches capture brain activities at multiple spatial and temporal scales. The scale-invariant nature of avalanches can be taken as an indication that the brain is in a critical state. Interestingly, the repeatable patterns associated with neuronal avalanches are thought to be associated with information processing. Despite … Continue reading Virtual Poster #26 – Changes across age groups in neural avalanche properties: A large-scale resting-state magnetoencephalography study