We implemented two neural network based benchmark tasks on a prototype chip of the
second-generation SpiNNaker (SpiNNaker 2) neuromorphic system: keyword spotting and …

Radar offers a promising modality for enabling gesture recognition, which is a simple and
intuitive alternative to click and touch-based human–computer interface. In this article, we …

To navigate in new environments, an animal must be able to keep track of its position while
simultaneously creating and updating an internal map of features in the environment, a …

Researchers building spiking neural networks face the challenge of improving the biological
plausibility of their model networks while maintaining the ability to quantitatively characterize …

One of the main challenges in develo** embedded radar-based gesture recognition
systems is the requirement of energy efficiency. To facilitate this, we present an embedded …

As neuromorphic hardware begins to emerge as a viable target platform for artificial
intelligence (AI) applications, there is a need for tools and software that can effectively …

We present a new binding operation, vector-derived transformation binding (VTB), for use in
vector symbolic architectures (VSA). The performance of VTB is compared to circular …

Computational memory models can explain the behaviour of human memory in diverse
experimental paradigms. But research has produced a profusion of competing models, and …

Classification plays a crucial role in big data, especially in e-commerce operations. Deep
learning (DL) research has become a new means to provide a better solution to the problem …

We provide a short proof that the uniform distribution of points for the n-ball is equivalent to
the uniform distribution of points for the (n+ 1)-sphere projected onto n dimensions. This …