Small-world neural network
WebAbstract. We study a model of associative memory based on a neural network with small-world structure. The efficacy of the network to retrieve one of the stored patterns exhibits a phase transition at a finite value of the disorder. The more ordered networks are unable to recover the patterns, and are always attracted to mixture states. WebFunctions for estimating the small-world-ness of graphs. A small world network is characterized by a small average shortest path length, and a large clustering coefficient. …
Small-world neural network
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WebJan 7, 2001 · The “small-world networks” model described recently by Watts and Strogatz provides an interesting approach to this issue. In this paper, we show that associative memory networks with... WebSep 6, 2024 · We employ Watt and Strogatz’s small-world model as the topology for the Hopfield neural network and conduct computer simulations. We observe that the random …
WebDec 5, 2024 · In this paper, the five-layer Izhikevich neural networks with excitatory or excitatory–inhibition neurons are employed to study the effect of Gaussian white noise and synaptic weight between layers on the weak signal transmission characteristics of the subthreshold excitatory postsynaptic currents signal imposed on the input layer. WebMar 26, 2013 · Then, a new controller is designed under small-world neural network model and is investigated in both linear and nonlinear systems control. The simulation results …
WebWe study a model of associative memory based on a neural network with small-world structure. The efficacy of the network to retrieve one of the stored patterns exhibits a phase transition at a finite value of the disorder. The more ordered networks are unable to recover the patterns, and are always attracted to non-symmetric mixture states. WebA popular example of the small world phenomenon is the network formed by actors appearing in the same movie (e.g., "Six Degrees of Kevin Bacon"), but small worlds are not limited to people-only networks. Other examples range from power grids to the neural networks of worms.
WebWatts and Strogatz [34] observed that real-world com-plex networks, e.g., the anatomical connections in the brain and the neural network of animals, cannot be modeled us-ing the …
WebOct 24, 2024 · Small-world networks tend to contain cliques, and near-cliques, meaning sub-networks which have connections between almost any two nodes within them. This follows from the defining property of a high clustering coefficient. Secondly, most pairs of nodes will be connected by at least one short path. flower glass frameWebSep 26, 2007 · To understand the influence of structure on the function of neural networks, we study the storage capacity and the retrieval time of Hopfield-type neural networks for four network structures: regular, small world, random networks generated by the Watts-Strogatz (WS) model, and the same network as the neural network of the nematode … flower glass series from aquaticaWebFeb 23, 2016 · The models are utilized to simulate a subset of units recorded from a large biological neural network using multiple electrodes. Two metrics for quantifying the small-world-ness both suggest that ... greeley options schoolWebJul 29, 2004 · In contrast biological neural systems have predominantly local, non-symmetric connectivity. Here we investigate sparse networks of threshold units, trained with the perceptron learning rule. The units are arranged in a small world network, with short path-lengths but cliquish connectivity. The connectivity may be symmetric or non … flower glass hand habitsWebA Cellular Neural Network (CNN) is a neural network model linked only to neighborhoods and which is suitable for image processing, such as noise reduction and edge detection. A … flower gleam and glow 1hrWebJul 14, 2024 · In this study, we proposed a spiking neural network with small-world topology (SWSNN), where Izhikevich neuron models and synaptic plasticity models with excitatory and inhibitory synapses are introduced to represent nodes and … greeley oracle loginWebWe developed two different computational approaches. Firstly, we asked whether neuronal populations actually express small-world properties during a definite task, such as a learning task. For this purpose we developed the Inductive Conceptual Network (ICN), which is a hierarchical bio-inspired spiking network, capable of learning invariant ... flower glass painting images