17 papers · ranked by Valyu relevance
Lav R. Varshney, Beth L. Chen, Eric Paniagua, David H. Hall + 2 more
Despite recent interest in reconstructing neuronal networks, complete wiring diagrams on the level of individual synapses remain scarce and the insights into function they can provide remain unclear. Even for Caenorhabditis elegans, whose neuronal network is relatively small and stereotypical from animal to animal…
Carl J. Nelson, Stephen Bonner
Connected networks are a fundamental structure of neurobiology. Understanding these networks will help us elucidate the neural mechanisms of computation. Mathematically speaking these networks are “graphs”-structures containing objects that are connected. In neuroscience, the objects could be regions of the brain…
Mark D. Humphries
Systems neuroscience is in a headlong rush to record from as many neurons at the same time as possible. As the brain computes and codes using neuron populations, it is hoped these data will uncover the fundamentals of neural computation. But with hundreds, thousands, or more simultaneously recorded neurons come the…
Daniele Poli, Vito P. Pastore, Paolo Massobrio
Complex network topologies represent the necessary substrate to support complex brain functions. In this work, we reviewed in vitro neuronal networks coupled to Micro-Electrode Arrays (MEAs) as biological substrate. Networks of dissociated neurons developing in vitro and coupled to MEAs, represent a valid experimental…
Johanna Senk, Birgit Kriener, Mikael Djurfeldt, Nicole Voges + 7 more
'Han-Jia Jiang' 'Lisa Schüttler' 'Gabriele Gramelsberger' 'Markus Diesmann' 'Hans E. Plesser' 'Sacha J. van Albada' 'Roberto Toro'] Sustainable research on computational models of neuronal networks requires published models to be understandable, reproducible, and extendable. Missing details or ambiguities about…
Przemyslaw Nowak, Paolo Massobrio, Sergio Martinoia
Computational capabilities of the brain emerge from the activity of large networks of neurons. Consequently, to better understand how the brain processes information, the relationship between neuronal network behavior and various network characteristics needs to be determined. Such an investigation, however, may be too…
Danny Eytan
The work presented in this review describes the use of large cortical networks developing ex vivo, in a culture dish, to study principles underlying synchronization, adaptation, learning, and representation in neuronal assemblies. The motivation to study neuronal networks ex vivo is outlined together with a short…
June Hoan Kim, Jae Ryun Ryu, Boram Lee, Uikyu Chae + 4 more
'Bae Ho Park' 'Il-Joo Cho' 'Woong Sun'] The function of a neural circuit can be determined by the following: (1) characteristics of individual neurons composing the circuit, (2) their distinct connection structure, and (3) their neural circuit activity. However, prior research on correlations between these three…
Daniel de Santos-Sierra, Irene Sendiña-Nadal, Inmaculada Leyva, Juan A. Almendral + 5 more
'Juan A. Almendral' 'Sarit Anava' 'Amir Ayali' 'David Papo' 'Stefano Boccaletti' 'Matjaž Perc'] In vitro primary cultures of dissociated invertebrate neurons from locust ganglia are used to experimentally investigate the morphological evolution of assemblies of living neurons, as they self-organize from collections of…
Olaf Sporns
Understanding the brain represents one of the most profound and pressing scientific challenges of the 21st century. As brain data have increased in volume and complexity, the tools and methods of network science have become indispensable for mapping and modeling brain structure and function, for bridging scales of…
Thibault Honegger, Moritz I. Thielen, Soheil Feizi, Neville E. Sanjana + 1 more
'Neville E. Sanjana' 'Joel Voldman'] The central nervous system is a dense, layered, 3D interconnected network of populations of neurons, and thus recapitulating that complexity for in vitro CNS models requires methods that can create defined topologically-complex neuronal networks. Several three-dimensional patterning…
Yen-Nan Lin, Po-Yen Chang, Pao-Yueh Hsiao, Chung-Chuan Lo
Analyzing the connectome of a nervous system provides valuable information about the functions of its subsystems. Although much has been learned about the architectures of neural networks in various organisms by applying analytical tools developed for general networks, two distinct and functionally important properties…
Julian M. L. Budd, Zoltán F. Kisvárday
In cerebral cortex, the huge mass of axonal wiring that carries information between near and distant neurons is thought to provide the neural substrate for cognitive and perceptual function. The goal of mapping the connectivity of cortical axons at different spatial scales, the cortical connectome, is to trace the…
David Papo, Javier M. Buldú
Representing the brain as a complex network typically involves approximations of both biological detail and network structure. Here, we discuss the sort of biological detail that may improve network models of brain activity and, conversely, how standard network structure may be refined to more directly address…
Aharon Azulay, Eyal Itskovits, Alon Zaslaver, Jorg Stelling
A major goal of systems neuroscience is to decipher the structure-function relationship in neural networks. Here we study network functionality in light of the common-neighbor-rule (CNR) in which a pair of neurons is more likely to be connected the more common neighbors it shares. Focusing on the fully-mapped neural…
Anna Seggewisse, Michael Winding
The first neuronal wiring diagram of an insect nerve cord, which includes biological information on cell type and organisation, enables further investigation into premotor circuit function.
Robert Friedman
The somatic nervous system of the nematode worm Caenorhabditis elegans is a model for understanding the physical characteristics of the neurons and their interconnections. Its neurons show high variation in morphological attributes. This study investigates the relationship of neuronal morphology to the number of…