|
|
|
In the vast land of complex systems, I commute back and forth
between computational biology and bio-inspired
computing. On the way, I founded the field of (ME),
which explores new methodologies to model and create complex
architectures that self-organize from a swarm of heterogeneous
agents, in particular by .
Such emergent structures can be , , or large of computing devices.
ME could also explain brain representations based on dynamic
in phase space, formed by myriads of correlated spikes. Additionally,
I am interested in the mechanisms leading to
diversity, and how they can help us understand and automate
the design of ME systems.
|
|
|
|
|
|
|
Computational models of collective cell behavior in 2D/3D,
such as organism development (embryogenesis), tumor growth,
or bacterial mats (synthetic biology)
|
|
|
|
Designing decentralized, autonomous systems inspired by
morphogenesis, with applications in swarm robotics,
distributed software, and ICT networks or power grids
|
|
|
|
Mesoscopic emergence, interaction and composition of spatiotemporal
patterns of activity and connectivity in large-scale spiking neural networks
|
|
|
|
Agent-based, genetic programming or grammar models of population dynamics
combining the short and long time scales of individual interactions and evolution
|
|
iscpif.fr
