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 …

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

Researchers study nervous systems at levels of scale spanning several orders of
magnitude, both in terms of time and space. While some parts of the brain are well …

Nonlinear interactions in the dendritic tree play a key role in neural computation.
Nevertheless, modeling frameworks aimed at the construction of large-scale, functional …

I present the context-unified encoding (CUE) model, a large-scale spiking neural network
model of human memory. It combines and integrates activity-based short-term memory with …

We review our current software tools and theoretical methods for applying the Neural
Engineering Framework to state-of-the-art neuromorphic hardware. These methods can be …