A5060769522- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
- Neural dynamics and brain function
- Quantum Computing Algorithms and Architecture
Abstract Neuromorphic computing is a novel style of that features low-power spiking neural networks as the main compute components. It an event-driven computational paradigm naturally pairs with event-based cameras and their asynchronous event output. In this work, we present NeuroPong, closed-loop neuromorphic hardware system composed camera, system, Atari 2600 console. The facilitates implementation network agents capable playing games in real time using camera capture input. We perform...
In this paper, we introduce RISP, a reduced instruction spiking processor. While most neuroprocessors are based on the brain, or notions from present case for processor that simplifies rather than complicates. As such, it features discrete integration cycles, configurable leak, and little else. We computing model of RISP highlight benefits its simplicity. demonstrate how aids in developing hand built neural networks simple computational tasks, detail may be employed to simplify with more...
This paper presents a Neuromorphic Starter Kit, which has been designed to help variety of research groups perform research, exploration and real-world demonstrations brain-based, neuromorphic processors hardware environments. A prototype kit built tested. We explain the motivation behind kit, its design composition, physical demonstration.