Papers

• ML-PWS: Estimating the Mutual Information Between Experimental Time Series Using Neural Networks (2025)
  Manuel Reinhardt et al.
  3.21
• Evidence-Guided Neural Architecture Selection under Uncertainty for Subject-Specific Blood Glucose Forecasting (2026)
  Md Azharul Islam et al.
  1.89
• When and Where: A Model Hippocampal Network Unifies Formation of Time Cells and Place Cells (2026)
  Qiaorong S. Yu and Zhaoze Wang and Vijay Balasubramanian
  1.78
• A Variational Latent Equilibrium for Learning in Neuronal Circuits (2026)
  Simon Brandt et al.
  1.72
• The Limits of Inference in Complex Systems: When Stochastic Models Become Indistinguishable (2025)
  Javier Aguilar et al.
  1.39
• Brain inspired neuronal silencing mechanism to enable reliable sequence identification (2022)
  Shiri Hodassman et al.
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• Modelling daily weight variation in honey bee hives (2022)
  Karina Arias-Calluari et al.
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• Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks (2024)
  Youngkyoung Bae et al.
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• Role of Delay in Brain Dynamics (2024)
  Yuval Meir et al.
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• Reconstruction of neuromorphic dynamics from a single scalar time series using variational autoencoder and neural network map (2024)
  Pavel V. Kuptsov and Nataliya V. Stankevich
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• Dynamic Causal Models of Time-Varying Connectivity (2024)
  Johan Medrano et al.
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• Direct estimates of irreversibility from time series (2024)
  Trevor GrandPre et al.
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