Software for Large-scale Neural Simulation: NEURON and NEST

A partition-based algorithm for clustering large-scale software systems

Clustering techniques are used to extract the structure of software for understanding, maintaining, and refactoring. In the literature, most of the proposed approaches for software clustering are divided into hierarchical algorithms and search-based techniques. In the former, clustering is a process of merging (splitting) similar (non-similar) clusters. These techniques suffered from the drawba...

simulation and experimental studies for prediction mineral scale formation in oil field during mixing of injection and formation water

abstract: mineral scaling in oil and gas production equipment is one of the most important problem that occurs while water injection and it has been recognized to be a major operational problem. the incompatibility between injected and formation waters may result in inorganic scale precipitation in the equipment and reservoir and then reduction of oil production rate and water injection rate. ...

Mixed-signal neuron-synapse implementation for large-scale neural network

This paper describes a new mixed-signal VLSI implementation of neural networks for low power and asynchronous operation. The linearised transconductance produces the synaptic function of multiplication, weight programming, and summation of synaptic currents for the neuron. The synapse circuit is designed with 8 transistors, by compensating the non-linearity of MOSFET resistance in the triode re...

High-performance Algorithms and Software for Large-scale Molecular Simulation

NEXUS : A simulation environment for large - scale neural systems

ion. For example, an object recognition system might be designed to incorporate both connectionist and biologically-based networks. In this case the image would be preprocessed by units whose connection fields loosely conform with biological data. However, instead of modeling a biological memory mechanism, the system might learn to recognize particular objects by training with backpropagation (...