Sergio Davies

Supervised learning of spatial features with STDP and homeostasis using Spiking Neural Networks on SpiNNaker

Artificial Neural Networks (ANN) have gained significant popularity thanks to their ability to learn using the well-known backpropagation algorithm. Conversely, Spiking Neural Networks (SNNs),...

Beyond the Hamming Cliff: Compact Spatial Encodings Preserving Semantic Distance in Spiking Neural Networks

By pre-processing input signals with Gray, Thermometer, Johnson and hybrid encodings before passing them to spiking neural networks running on SpiNNaker hardware, Davies et al.(2025) address the...

Event-Driven Dynamic Attention for Multi-Object Tracking on Neuromorphic Hardware

Data and Commands Communication Protocol for Neuromorphic Platform Configuration

Spiking Neural PID Controllers

Transport-Independent Protocols for Universal AER Communications

A General-Purpose Model Translation System for a Universal Neural Chip

Maintaining real-time synchrony on SpiNNaker

A hierachical configuration system for a massively parallel neural hardware platform

Real time on-chip implementation of dynamical systems with spiking neurons

An event-driven model for the SpiNNaker virtual synaptic channel

A forecast-based biologically-plausible STDP learning rule

Implementing spike-timing-dependent plasticity on SpiNNaker neuromorphic hardware

Algorithm and software for simulation of spiking neural networks on the multi-chip SpiNNaker system

Spike-based learning of transfer functions with the SpiNNaker neuromimetic simulator

Event Camera-Based Real-Time Gesture Recognition for Improved Robotic Guidance

Population-based routing in the SpiNNaker neuromorphic architecture