Following from the original Dynamic Adaptive Neural Network Array (DANNA) model, we
propose a new digital neuromorphic architecture named DANNA 2. Through this paper, we …

In this paper, we introduce RISP, a reduced instruction spiking processor. While most
spiking neuroprocessors are based on the brain, or notions from the brain, we present the …

Recurrent, spiking neuromorphic systems (RSNS's) have several desirable features
compared to conventional neural networks when applied to applications that require real …

Dynamical systems are universal computers. They can perceive stimuli, remember, learn
from feedback, plan sequences of actions, and coordinate complex behavioural responses …

In neuromorphic applications, resistive memory solutions (implemented as Resistive
Random Access Memory or ReRAM) have significant potential in emulating the desired two …

Resource constrained devices are the building blocks of the internet of things (IoT) era.
Since the idea behind IoT is to develop an interconnected environment where the devices …

Neuromorphic computing is a novel, non-von Neumann computing architecture that employs
power efficient spiking neural networks on specialized hardware. Taking inspiration from the …

The Career Force research project is the second phase of an Army program to develop a
selection and classification system for enlisted personnel based on expected future …

Neuromorphic computing architectures are bio-inspired alternatives to more conventional
computing methodologies that have recently risen in popularity. In general, these …