Neuromorphic Systems — from devices to AI to impact

I design and translate across the neuromorphic ecosystem — connecting device physics and mixed-signal VLSI with spiking neural networks, AI systems, and commercial strategy.

Portrait of Simeon Bamford
Hybrid: Technologist + Strategist
  • Mixed-signal VLSI for neuromorphic computing
  • Event-based vision — from prototype to adoption
  • Flexible/organic electronics for neuromorphic circuits
  • Deep-tech commercialisation & EU proposal leadership

About

I design and translate across the neuromorphic landscape — from device physics and mixed-signal VLSI, to spiking neural networks, AI systems, and commercial strategy. I’ve engineered synapse-level analogue circuits and million-transistor systems, integrated FPGA/software pipelines, and explored emerging device platforms such as flexible, printable, and biocompatible electronics.

Alongside hands-on engineering, I’ve co-founded neuromorphic start-ups, led commercialisation of event-based vision sensors, and advised global R&D groups in automotive, consumer electronics, and defence. This breadth lets me bridge silos: aligning device innovation with system requirements, guiding AI groups toward hardware-realistic architectures, and shaping strategies that position organisations at the forefront of neuromorphic technology.

Currently focused on the convergence of neuromorphic systems, flexible & sustainable electronics, and next-generation AI.

How I create value

Translation & Strategy

Bridge device labs, neuromorphic systems teams, and AI groups. Roadmaps, “hardware realities” for SNNs, and investable narratives.

  • Device → system alignment
  • Tech due diligence / positioning
  • Hype filtering, opportunity mapping

Architecture & Prototyping

Design mixed-signal neuromorphic blocks, integrate sensors, and deliver working prototypes with clear learnings.

  • Analog synapse/neurons, AER/async routing
  • Event-based perception pipelines
  • FPGA/PCB bring-up and test

Funding & Ecosystem

Shape EU/industry proposals around sustainability, flexibility, and critical-materials resilience in neuromorphic tech.

  • Consortia formation & leadership
  • Impact & exploitation strategy
  • Conference representation

Selected projects

Selected publications

  • Hogri R, Bamford SA, Taub AH, Magal A, Del Giudice P, Mintz M. “A neuro-inspired model-based closed-loop neuroprosthesis…” Scientific Reports (2015). pdf
  • Bamford SA, Hogri R, Giovannucci A, et al. “A VLSI field-programmable mixed-signal array…” IEEE TNSRE (2012). pdf
  • Bamford SA, Murray AF, Willshaw DJ. “STDP with weight dependence evoked from physical constraints.” IEEE TBioCAS (2012). pdf
  • Bamford SA, Murray AF, Willshaw DJ. “Large Developing Receptive Fields…” IEEE TNN (2010). pdf
  • Moeys D, Corradi F, Li C, Bamford S, et al. “A Sensitive DAVIS sensor…” IEEE TBioCAS (2018). pdf
  • De Souza Rosa L, Dinale A, Bamford S, et al. “High-Throughput Asynchronous Convolutions…” EBCCSP (2022). pdf
  • Glover A, Dinale A, De Souza Rosa L, Bamford S, Bartolozzi C. “luvHarris…” IEEE TPAMI (2021). pdf
  • Scagliotti M, Bamford S, et al. “Next-Gen Neuromorphic Circuits…” ITC (2025). presentation

Full list on Google Scholar.

Get in touch

Advisory, translation between devices ↔ systems ↔ AI, architecture reviews, and proposals. I’m Europe-based and work internationally.