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