Add to ORKGThis paper presents SIRENA, a CAD environment for the simulation and modeling of mixed-signal VLSI parallel processing chips based on Cellular Neural Networks. SIRENA includes capabilities for: a) the description of nominal and non-ideal operation of CNN analog circuitry at the behavioral level; b) performing realistic simulations of the transient evolution of physical CNNs including deviations due to second-order effects of the hardware; and, c) evalu-ating sensitivity figures, and realize noise and Montecarlo simulations in the time domain. These capabilities portray SIRENA as better suited for CNN chip development than algorithmic simulation packages (such as OpenSimulator, Sesame) or conventional Neural Networks simu-lators (RCS, GENESI...
An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The...
In this paper we present a system for automatic synthesis of special purpose hardware for neural net...
Encadré par Benoit MiramondA simulator for hardware Spiking Neural Networks have been developed, in ...
This paper presents SIRENA, a CAD environment for the simulation and modelling of mixed-signal VLSI ...
SIRENA is a general simulation environment for artificial neural networks, with emphasis towards CNN...
Eickhoff R, Kaulmann T, Rückert U. SIRENS: A Simple Reconfigurable Neural Hardware Structure for art...
http://lib.tkk.fi/Books/2001/isbn9512263378/papers/1191.pdfIn this paper we introduce a novel simula...
Cellular Neural Networks (CNNs) are massively parallel nonlinear locally connected analog cells; the...
Abstract – A software tool for the development, prototyping and emulation of cellular processor arra...
Exact modeling and fast simulation of neural networks using conventional von-Neumann computers prese...
A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper. The approach...
A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper. The approach...
Abstract. This paper describes a full-custom mixed-signal chip that embeds digitally programmable an...
For current microelectronic integrated systems, the design methodology involves different steps that...
A simulation framework for artificial neural network models and electronic implementations (CMOS) is...
An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The...
In this paper we present a system for automatic synthesis of special purpose hardware for neural net...
Encadré par Benoit MiramondA simulator for hardware Spiking Neural Networks have been developed, in ...
This paper presents SIRENA, a CAD environment for the simulation and modelling of mixed-signal VLSI ...
SIRENA is a general simulation environment for artificial neural networks, with emphasis towards CNN...
Eickhoff R, Kaulmann T, Rückert U. SIRENS: A Simple Reconfigurable Neural Hardware Structure for art...
http://lib.tkk.fi/Books/2001/isbn9512263378/papers/1191.pdfIn this paper we introduce a novel simula...
Cellular Neural Networks (CNNs) are massively parallel nonlinear locally connected analog cells; the...
Abstract – A software tool for the development, prototyping and emulation of cellular processor arra...
Exact modeling and fast simulation of neural networks using conventional von-Neumann computers prese...
A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper. The approach...
A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper. The approach...
Abstract. This paper describes a full-custom mixed-signal chip that embeds digitally programmable an...
For current microelectronic integrated systems, the design methodology involves different steps that...
A simulation framework for artificial neural network models and electronic implementations (CMOS) is...
An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The...
In this paper we present a system for automatic synthesis of special purpose hardware for neural net...
Encadré par Benoit MiramondA simulator for hardware Spiking Neural Networks have been developed, in ...