Laboratoire de Physique des Interfaces et des Couches Minces

CNRS - École polytechnique - Institut Polytechnique de Paris

Optically spiking microlasers for neuromorphic hardware

Electronic circuits are not the only type of device that can exhibit behavior able to replicate biological neurons. In the past 20 years, researchers have developed optical neurons that also exhibit biomimetic properties and can therefor be considered in the context of photonic neuromorphic computing. Such systems are much faster (< 1 nsec spikes) and […]

Modeling the ribosome as a network and ribosome inspired devices

One source of biologically inspired ideas comes from the functionality of DNA, the molecule that carries the genetic instructions for all living organisms. The copying of the code stored in DNA is the starting point in the information flow described in the central dogma of biology [4], where a gene is transformed into a protein, […]


The advances in modern computing technology have predominantly been driven by improving semiconductor processing to make transistors run faster. This type of methodology, known as transistor scaling, has significantly slowed down in the past  15 years due to physical limitations. Meanwhile, improvements in computing technology have immensely impacted our lives in the past 50 years […]

Bayesian inference using stochastic computing and spiking neuron circuits

Computing in biological systems is inprecise. We are not particularly good computing machines compared to even a simple calculator. This is fundamentally because our hardware functions in a noisy environment and most events are associated with a probability not with a perfect certainty. This notion inspired von Neumann to develop a computing paradigm based on […]