Path Integral Methods for Stochastic Differential Equations

• Linking network- and neuron-level correlations by renormalized field theory

  2024 Physical Review Research article Neuroscience Neural dynamics and brain function Open access

  8

  citations
• Unified field theoretical approach to deep and recurrent neuronal networks

  2022 Journal of Statistical Mechanics Theory and Experiment article Computer Science Gaussian Processes and Bayesian Inference Open access

  17

  citations
• Large-Deviation Approach to Random Recurrent Neuronal Networks: Parameter Inference and Fluctuation-Induced Transitions

  2021 Physical Review Letters article Neuroscience Neural dynamics and brain function Open access

  18

  citations
• Transient Chaotic Dimensionality Expansion by Recurrent Networks

  2021 Physical Review X article Computer Science Neural Networks and Reservoir Computing Open access

  27

  citations
• Momentum-dependence in the infinitesimal Wilsonian renormalization group

  2020 Journal of Physics A Mathematical and Theoretical article Physics and Astronomy Theoretical and Computational Physics Open access

  1

  citations
• Self-consistent formulations for stochastic nonlinear neuronal dynamics

  2020 Physical review. E article Physics and Astronomy stochastic dynamics and bifurcation Open access

  15

  citations
• Functional Formulation of Stochastic Differential Equations

  2020 Lecture notes in physics book-chapter Physics and Astronomy Theoretical and Computational Physics

  1

  citations
• Introduction

  2020 Lecture notes in physics book-chapter Neuroscience Neural dynamics and brain function

  1

  citations

8 results