CATNIP Lab is a computational and statistical neuroscience group. Our goal is to obtain an effective systems-level description of relevant neural dynamics in the context of cognitive functions and dysfunctions. To arrive at a model of neural computation tightly tied to biology and experimental observations, we work closely with experimental and clinical collaborators. We develop probabilistic methods for analyzing spatiotemporal neural and non-neural time series to infer neural dynamics models. To facilitate the scientific inference process, we develop real-time machine learning and control methods and design next-generation experiments.
See research page for details.
Recent News
Hiring
Postdoc Position Open!
The Neural Dynamics (CATNIP) Lab, led by Memming Park at the Champalimaud Centre for the Unknown in Lisbon, Portugal, is seeking a Postdoctoral Fellow to extract organizing principles of neural...
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Announcement
Universal approximation for dynamical systems
We have a new exciting line of work showing that the typical guarantees for univeral approximation for neural networks do not hold for recurrent systems in general. Abel’s new work...
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Announcement
Neuro-Cybernetics at Scale website lives
After the successful hosting of the new 3-day symposium in October 2025, the original website hosted at https://symposium.fchampalimaud.science/ has retired as it was part of the continuing cycle of Champalimaud...
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