Alan B. Stokes

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About

Alan B. Stokes is a researcher specializing in neuromorphic computing, spiking neural networks, and event-driven robotics — fields at the cutting edge of brain-inspired artificial intelligence. His work explores how biological principles of neural computation can be embedded into physical robotic systems, with a particular focus on the SpiNNaker neuromorphic hardware platform developed at the University of Manchester. Stokes's most influential contribution, "Behavioral Learning in a Cognitive Neuromorphic Robot: An Integrative Approach" (2018, 24 citations), demonstrates a sophisticated learning system combining the iCub humanoid robot with SpiNNaker to achieve object-specific visual attention — a genuinely challenging real-world task. Rather than pursuing neuromorphic integration for its own sake, the work critically interrogates when and why spiking neural networks offer meaningful advantages over conventional approaches. His 2015 work on transport-independent protocols for universal Address Event Representation (AER) communications laid important groundwork for standardizing neuromorphic device interoperability, while his 2019 collaboration pairing the ATIS event-driven camera with SpiNNaker produced a fully event-based visual tracking pipeline. Together, these contributions reflect a researcher steadily building the infrastructure and proof-of-concept demonstrations needed to make neuromorphic robotics practically viable.