Showing papers by "Kevin Gurney published in 1994"
TL;DR: A scalable neural system, HyperNet, based on a probabilistic RAM-based architecture and using a custom VLSI IC is described, designed, manufactured and demonstrated to have the potential to learn more than three orders of magnitude faster than simulations on current workstations.
Abstract: The authors describe a scalable neural system, HyperNet, based on a probabilistic RAM-based architecture and using a custom VLSI IC. A system using five HyperNet VLSI ICs and capable of realising up to 10240 neurons has been designed, manufactured and demonstrated to have the potential to learn more than three orders of magnitude faster than simulations on current workstations.
7 citations