3 papers
physics.optics2025
Programmable Optical Spectrum Shapers as Computing Primitives for Accelerating Convolutional Neural Networks
Georgios Moustakas, Adonis Bogris, Charis Mesaritakis
Photonic convolutional accelerators have emerged as low-energy alternatives to power-demanding digital convolutional neural networks, though they often face limitations in scalabil…
physics.optics2025
A VCSEL based Photonic Neuromorphic Processor for Event-Based Imaging Flow Cytometry Applications
M. Skontranis, G. Moustakas, A. Bogris +1
This work presents an optical neuromorphic imaging and processing cytometry system that integrates an excitable VCSEL-based time-delayed (TD) extreme learning machine with an event…
physics.optics2025
Neuromorphic Imaging Flow Cytometry combined with Adaptive Recurrent Spiking Neural Networks
Georgios Moustakas, Ioannis Tsilikas, Adonis Bogris +1
We present an experimental imaging flow cytometer using a 1 μs temporal resolution event-based CMOS camera, with data processed by adaptive feedforward and recurrent spiking neura…