Add to ORKGRückert U, Funke A, Pintaske C. Acceleratorboard for Neural Associative Memories. Neurocomputing. 1993;5:39-49.Describes a parallel and scalable architecture for rapid prototyping and fast emulation of neural associative memories (NAMs). The implementation is based on custom available components: RAMs and field programmable gate arrays (FPGAs). The use of FPGAs offers an alternative for parallel implementation of NAMs because the desired application can be realized very fast, and a flexible adjustment of the hardware to improved algorithms is possible without replacing chips. The developed accelerator board is designed as an ISA slot card for IBM-compatible PCs and can provide computational rates that are sufficient for the commercial imple...
Abstract. The usage of the FPGA (Field Programmable Gate Array) for neural network implementation pr...
Colloque avec actes et comité de lecture. internationale.International audienceNeural networks are c...
The design of an auto-associative memory based on a spiking neural network is described. Delays rath...
Rückert U, Rüping S, Naroska E. Parallel Implementation of Neural Associative Memories on RISC Proce...
Analog VLSI circuits are being used successfully to implement Artificial Neural Networks (ANNs). The...
Living creatures pose amazing ability to learn and adapt, therefore researchers are trying to apply ...
The title #NAM stands for Parallel SImulation (PSI) for Neuronal Assembly Model(NAM). An instruction...
The associative memory (AM) system is a computing device made of hundreds of AM ASICs chips designed...
A significant bottleneck to the use of associative memories in real-time systems is the amount of da...
The associative memory (AM) chip is ASIC device specifically designed to perform ``pattern matching'...
Porrmann M, Witkowski U, Kalte H, Rückert U. Implementation of artificial neural networks on a recon...
Rückert U. An Associative Memory with Neural Architecture and its VLSI Implementation. In: Milutinov...
Abstract. This chapter shows how a “Celoxica ” electronic board (containing a Xilinx Virtex II FPGA ...
Rüping S, Porrmann M, Rückert U. SOM Accelerator System. Neurocomputing. 1998;21:31-50.Many applicat...
In this paper we describe the VLSI design and testing of a high capacity associative memory which we...
Abstract. The usage of the FPGA (Field Programmable Gate Array) for neural network implementation pr...
Colloque avec actes et comité de lecture. internationale.International audienceNeural networks are c...
The design of an auto-associative memory based on a spiking neural network is described. Delays rath...
Rückert U, Rüping S, Naroska E. Parallel Implementation of Neural Associative Memories on RISC Proce...
Analog VLSI circuits are being used successfully to implement Artificial Neural Networks (ANNs). The...
Living creatures pose amazing ability to learn and adapt, therefore researchers are trying to apply ...
The title #NAM stands for Parallel SImulation (PSI) for Neuronal Assembly Model(NAM). An instruction...
The associative memory (AM) system is a computing device made of hundreds of AM ASICs chips designed...
A significant bottleneck to the use of associative memories in real-time systems is the amount of da...
The associative memory (AM) chip is ASIC device specifically designed to perform ``pattern matching'...
Porrmann M, Witkowski U, Kalte H, Rückert U. Implementation of artificial neural networks on a recon...
Rückert U. An Associative Memory with Neural Architecture and its VLSI Implementation. In: Milutinov...
Abstract. This chapter shows how a “Celoxica ” electronic board (containing a Xilinx Virtex II FPGA ...
Rüping S, Porrmann M, Rückert U. SOM Accelerator System. Neurocomputing. 1998;21:31-50.Many applicat...
In this paper we describe the VLSI design and testing of a high capacity associative memory which we...
Abstract. The usage of the FPGA (Field Programmable Gate Array) for neural network implementation pr...
Colloque avec actes et comité de lecture. internationale.International audienceNeural networks are c...
The design of an auto-associative memory based on a spiking neural network is described. Delays rath...