A Python toolbox for neural circuit parameter inference
Computational research tools have reached a level of maturity that enables efficient simulation of neural activity across diverse scales. Concurrently, experimental neuroscience is experiencing an unprecedented scale of data generation. Despite these advancements, our understanding of the precise mechanistic relationship between neural recordings and key aspects of neural activity remains insufficient, including which specific features of electrophysiological population dynamics (i.e., putative biomarkers) best reflect properties of the underlying microcircuit configuration. We present ncpi, an open-source Python toolbox that serves as an all-in-one solution, effectively integrating well-established methods for both forward and inverse modeling of extracellular signals based on single-neuron network model simulations. Our tool serves as a benchmarking resource for model-driven interpretation of electrophysiological data and the evaluation of candidate biomarkers that plausibly index changes in neural circuit parameters. Using mouse LFP data and human EEG recordings, we demonstrate the potential of ncpi to uncover imbalances in neural circuit parameters during brain development and in Alzheimer's Disease.
Authors
- Jesús Poza (ORCID: https://orcid.org/0000-0001-8577-9559)
- Alejandro Tlaie (ORCID: https://orcid.org/0000-0002-6844-5765)
- Alfonso Valero (ORCID: https://orcid.org/0000-0003-4936-3024)
- Francisco Pelayo (ORCID: https://orcid.org/0000-0001-7402-9648)
- Víctor Rodríguez-González (ORCID: https://orcid.org/0000-0003-0878-0075)
- Miguel A. Casal (ORCID: https://orcid.org/0000-0002-2273-8052)
- Pablo Martínez‐Cañada (ORCID: https://orcid.org/0000-0003-2634-5229)
- Carlos Gómez (ORCID: https://orcid.org/0000-0002-9488-0605)
- Christian A. Morillas (ORCID: https://orcid.org/0000-0002-4084-6241)
- Noemi Montobbio (ORCID: https://orcid.org/0000-0003-0302-393X)
Institutions
- Universidad de Valladolid (ES)
- Universidade da Coruña (ES)
- Universidad de Granada (ES)
- Ernst Strüngmann Institute for Neuroscience (DE)
- Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (ES)
- University of Genoa (IT)
Publication Details
- Journal
- npj Systems Biology and Applications
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1038/s41540-025-00527-9
- Citations
- 2
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.46
Funders
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina
- Junta de Andalucía
- Instituto de Salud Carlos III
- European Regional Development Fund
- Agencia Estatal de Investigación