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Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware
Keyword spotting (KWS) provides a critical user interface for many mobile and edge applications, including phones, wearables, and cars.
A short letter on the dot product between rotated Fourier transforms
Spatial Semantic Pointers (SSPs) have recently emerged as a powerful tool for representing and transforming continuous space, with numerous applications to cognitive modelling and deep learning.
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions
The machine learning community has become increasingly interested in the energy efficiency of neural networks.
Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework
This, in particular, significantly affects the influence of inhibitory signals on the neuronal dynamics.
Methods for applying the Neural Engineering Framework to neuromorphic hardware
We review our current software tools and theoretical methods for applying the Neural Engineering Framework to state-of-the-art neuromorphic hardware.
