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Dynamical Systems in Neuroscience

Eugene M. Izhikevich • The MIT Press eBooks (2006)

Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and illustrated using geometrical intuition. In order...

OPENALEX DOI: https://doi.org/10.7551/mitpress/2526.001.0001

Lipid-mediated gating of a miniature mechanosensitive MscS channel from Trypanosoma cruzi

Jingying Zhang, Aashish Bhatt, Grigory Maksaev, Yun Lyna Luo et al. • Nature Communications (2025)

Abstract The mechanosensitive channel of small conductance (MscS) from E. coli (EcMscS) has served as the prevailing model system for understanding mechanotransduction in ion channels. Trypanosoma cruzi, the protozoan parasite causing Chaga...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-025-62757-z

Machine learning-derived prediction of in-hospital mortality in patients with severe acute respiratory infection: analysis of claims data from the German-wide Helios hospital network

Johannes Leiner, Vincent Pellissier, Sebastian König, Sven Hohenstein et al. • Respiratory Research (2022)

Abstract Background Severe acute respiratory infections (SARI) are the most common infectious causes of death. Previous work regarding mortality prediction models for SARI using machine learning (ML) algorithms that can be useful for both i...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12931-022-02180-w