FISMED / LABORATORIES
Computational Neuroscience and Dynamics
Mathematical models and physiological recordings reveal interactions within the brain and between brain and body. Research combines nonlinear dynamics, Bayesian inference, directed connectivity and graph analysis to study changing neural networks. Biophysical modelling and signal processing connect neural activity, cardiovascular regulation and behaviour, including responses to multisensory and virtual environments.
05 / LABORATORY
Computational Neuroscience and Dynamics
Mathematical models and physiological recordings reveal interactions within the brain and between brain and body. Research combines nonlinear dynamics, Bayesian inference, directed connectivity and graph analysis to study changing neural networks. Biophysical modelling and signal processing connect neural activity, cardiovascular regulation and behaviour, including responses to multisensory and virtual environments.
- Nonlinear dynamics and Bayesian inference
- Brain networks and directed connectivity
- Physiological signals and brain–body coupling
- Behavioural and multisensory measurements
Explore related research
Connections indicate shared research topics, not authorship or project participation.
Computational neuroscience · Neural network · Brain network
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