Novel reconfigurable computing architectures exploit the inherent parallelism available in many signalprocessing problems. These architectures often consist of networks of compute...
— This paper presents an analogue integrated circuit implementation of a cortical neuron model. The VLSI chip prototype has been implemented in a 0.35 µm CMOS technology. The si...
Medium-grain reconfigurable hardware (MGRH) architectures represent a hybrid between the versatility of a field programmable gate array (FPGA) and the computational power of a cust...
Software-based Network Intrusion Detection Systems (NIDS) often fail to keep up with high-speed network links. In this paper an FPGA-based pre-filter is presented that reduces th...
Haoyu Song, Todd S. Sproull, Michael Attig, John W...
: Substantial evidence indicates that the time structure of neuronal spike trains is relevant in neuronal signal processing. Bio-inspired spiking neural networks are taking these r...