In this paper we introduce a new release of the CELL cellular neural network simulator. It has been extended with new capabilities, which allow users, among other things, to add custom state equations or new learning algorithms, in order to simulate a larger set of non-linear neural networks
We propose the extension of the classical framework of Cellular Nonlinear Networks (CNN) to incorpor...
A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper. The approach...
This paper presents a free software tool that supports the next-generation Mobile Communications, th...
In this paper we introduce a new release of the CELL cellular neural network simulator. It has been ...
This paper presents a cellular neural network software simulator, called SIMUL CN2, for image-proces...
Cellular Network Simulator (CNS) is a stand-alone application, intended to study the behavior and co...
An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The...
The tool CELL presented in this paper is a general purpose CNN simulator for Windows that supports ...
The field of computational neuroscience has received a substantial boost during the last two decades...
An efficient numerical integration algorithm for single layer Raster Cellular Neural Networks (CNN) ...
NEST is an established, open-source simulator for spiking neuronal networks, which can capture a hig...
Spiking neural P systems (SN P systems, for short) constitute a class of computing models in the re...
ABSTRACT An efficient numerical integration algorithm for single layer Raster Cellular Neural Networ...
In this paper we show a way to use high performance computing techniques in order to achieve a more ...
This paper presents a new cellular automata (CA) model which uses artificial neural networks for bot...
We propose the extension of the classical framework of Cellular Nonlinear Networks (CNN) to incorpor...
A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper. The approach...
This paper presents a free software tool that supports the next-generation Mobile Communications, th...
In this paper we introduce a new release of the CELL cellular neural network simulator. It has been ...
This paper presents a cellular neural network software simulator, called SIMUL CN2, for image-proces...
Cellular Network Simulator (CNS) is a stand-alone application, intended to study the behavior and co...
An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The...
The tool CELL presented in this paper is a general purpose CNN simulator for Windows that supports ...
The field of computational neuroscience has received a substantial boost during the last two decades...
An efficient numerical integration algorithm for single layer Raster Cellular Neural Networks (CNN) ...
NEST is an established, open-source simulator for spiking neuronal networks, which can capture a hig...
Spiking neural P systems (SN P systems, for short) constitute a class of computing models in the re...
ABSTRACT An efficient numerical integration algorithm for single layer Raster Cellular Neural Networ...
In this paper we show a way to use high performance computing techniques in order to achieve a more ...
This paper presents a new cellular automata (CA) model which uses artificial neural networks for bot...
We propose the extension of the classical framework of Cellular Nonlinear Networks (CNN) to incorpor...
A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper. The approach...
This paper presents a free software tool that supports the next-generation Mobile Communications, th...
DOI
Add to ORKG