by Alon Loeffler (The University of Sidney)Email me! Graph theory has been extensively applied to the topological mapping of complex networks, ranging from social networks to biological systems. It has also increasingly been applied to neuroscience as a method to explore the fundamental structural and functional properties of human neural networks. Here, we apply graph … Continue reading Virtual poster #13 – Does Structure influence Function in Neuromorphic Nanowire Networks?
by Klaus Linkenkaer-Hansen group. Balance between excitation (E) and inhibition (I) is a key principle for neuronal network organization and information processing. Consistent with this notion, excitation-inhibition imbalances are considered a pathophysiological mechanism in many brain disorders including autism spectrum disorder (ASD). However, methods to measure E/I ratios in human brain networks are lacking. Here, we present a method to quantify a functional E/I ratio (fE/I) from neuronal oscillations, and validate it in healthy subjects and children with ASD.
by Kristine Heiney (Department of Computer Science, Oslo Metropolitan University, Oslo, Norway) Email me! The dynamic state of neuronal networks is influenced by a wide range of functional and structural factors, including network connectivity, synaptic function, and the balance of excitation and inhibition in the network. Additionally, it has been shown that only some dissociated … Continue reading Virtual poster #10 – Manipulating the dynamic state of in vitro neuronal networks
by Géza Ódor (EKMFA Complex Systems Department, Budapest), Jeffrey Kelling (HZDR Dresden), Gustavo Deco (UPF Barcelona) Email me! We have extended the study of the Kuramoto model with additive Gaussian noise running on the KKI-18 large human connectome graph. We determined the dynamical behavior of this model by solving it numerically in an assumed homeostatic … Continue reading Virtual poster #9 – The effect of noise on the synchronization dynamics of the Kuramoto model on a large human connectome graph
by Donald W Dohertywith Salvador Dura-Bernal and William W LyttonDepartment of Physiology & PharmacologySUNY Downstate Medical Center, Brooklyn, NY 10962 USAEmail me! Avalanches display non-Poisson distributions of correlated neuronal activity that may play a significant role in signal processing. The phenomenon appears robust but mechanisms remain unknown due to an inability to gather large sample … Continue reading Virtual poster #8 – What turns a neuronal cascade into a neuronal avalanche?
by Davor CuricPhysics PhD student - Supervisor: Joern DavidsenUniversity of Calgary, Alberta, CanadaEmail me! The critical brain hypothesis posits that in an effort to maximize information transfer, the brain self-organizes to a critical point which is sensitive to perturbations, but does not allow for never-ending growth of activity. This framework has largely been motivated by … Continue reading Virtual poster #7 – Activity coding cells and neuronal avalanche statistics
by Wesley Clawson, Aix-Marseille University, Institute of Systems Neurosciencein collaboration with Pascale Quilichini, Christophe Bernard, Demian BattagliaEmail me Neural computation occurs across networks of neurons whose dynamics can be described by reoccurring substates of information processing activity. It was shown that the organization of these substates is complex and partially constrained by large scale oscillations. … Continue reading Virtual poster #6 – Organizational disruption of mEC and CA1 networks in epilepsy
presented by Tawan T. A. Carvalho and Mauricio Girardi SchappoDepartamento de Fı́sica, Universidade Federal de Pernambuco, Recife, PE, BrazilEmail us! Recent experimental results on spike avalanches measured in the urethane-anesthetized rat cortex have revealed scaling relations that indicate a phase transition at a specific level of cortical firing rate variability. The scaling relations point to critical … Continue reading Virtual Poster #5 – Directed percolation explains experimental avalanche scaling laws under subsampling
by Juan Luis Cabrera1,2 & Esther Desiree Gutiérrez2,31Dep. de Física Aplicada, ETSIAE, UPM, Madrid, Spain; 2Lab. de Dinámica Estocástica, Centro de Física, IVIC, Caracas, Venezuela; 3Fac. Ciencias Nat y Mat, ESPL, Guayaquil, EcuadorEmail us! The movement of many animals follow Lévy patterns.The possible endogenous neuronal dynamics that generates this behaviour is unknown.In this work we show the … Continue reading Virtual poster #3 – A multifractal neural coding scheme reproducing foraging trajectories
by Victor Buendia - Departamento de Electromagnetismo y Física de la Materia. Universidad de Granada, E-18071, Granada, Spain. Email me! In this work, we studied a model proposed by Larremore et al. (Phys. Rev. Let. 2014) where it was originally claimed that inhibition could originate stable values of low activity. The model is as follows: … Continue reading Virtual poster #2 – Jensen’s force and the statistical mechanics of cortical asynchronous states