6 papers
GERD: Geometric event response data generation
Jens Egholm Pedersen, Dimitris Korakovounis, Jörg Conradt
Event-based vision sensors offer high temporal resolution, high dynamic range, and low power consumption, yet event-based vision models lag behind conventional frame-based vision m…
Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
Jens Egholm Pedersen, Tony Lindeberg, Peter Gerstoft
Spike-based encodings are sparse and energy-efficient, but have largely been formulated probabilistically, disconnected from most signal processing literature. We recast spike enco…
Scale-covariant spiking wavelets
Jens Egholm Pedersen, Tony Lindeberg, Peter Gerstoft
We establish a theoretical connection between wavelet transforms and spiking neural networks through scale-space theory. We rely on the scale-covariant guarantees in the leaky inte…
Covariant spatio-temporal receptive fields for spiking neural networks
Jens Egholm Pedersen, Jörg Conradt, Tony Lindeberg
Biological nervous systems constitute important sources of inspiration towards computers that are faster, cheaper, and more energy efficient. Neuromorphic disciplines view the brai…
Neuromorphic Programming: Emerging Directions for Brain-Inspired Hardware
Steven Abreu, Jens E. Pedersen
The value of brain-inspired neuromorphic computers critically depends on our ability to program them for relevant tasks. Currently, neuromorphic hardware often relies on machine le…
Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing
Jens E. Pedersen, Steven Abreu, Matthias Jobst +12
Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are getting wide attention and are being applied to many relevant problems using Machine…