Nonlinear Network Control 

for 

Biological Memory 


RECAL Lab

We are interested in modelling, analysis, regulation, and control of networked dynamical systems, with a main focus on nonlinear dynamics, representing biological memory. We employ and develop techniques based on and for control theory. Our research is inspired by the central role of memory in cognition and computation, and its engineering applications.

Our lab is based in the Delft Center for Systems and Control, Faculty 3mE, Delft University of Technology. We are collaborating with several labs in the areas of neuroscience, cognition, and computing in/outside of the Netherlands.



Research interests

Modelling , analysis & control of dynamic networks:

    Nonlinear, hybrid & discontinuous dynamical systems

    Oscillatory dynamics;  Stochastic dynamical systems

    Dissipative systems; Data driven techniques

with applications in:

Cognition

Bio/Brain-inspired Computation & Engineering

Recent Highlights

RECALLab is now a  partner to the Human Brain Project via project ReWoMeN 

We joined the TU Delft - Erasmus MC  Integrative Neuromedicine flag ship awarded within the Convergence project

RECALLab member of the national consortium project  The Dutch Brain Interface Initiative  awarded within the NWO Gravitation program 

NWO Open Competition grant:  A novel working memory-based model for early diagnosis of attentional disorders