4.8 Article

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

Related references

Note: Only part of the references are listed.
Article Physics, Multidisciplinary

Transient Chaotic Dimensionality Expansion by Recurrent Networks

Christian Keup et al.

Summary: This study explores the differences in chaos phenomena between rate and binary networks, finding qualitative distinctions in dynamics, chaotic characteristics, dimensionality expansion, etc.

PHYSICAL REVIEW X (2021)

Article Biochemical Research Methods

SciPy 1.0: fundamental algorithms for scientific computing in Python

Pauli Virtanen et al.

NATURE METHODS (2020)

Article Physics, Fluids & Plasmas

Self-consistent formulations for stochastic nonlinear neuronal dynamics

Jonas Stapmanns et al.

PHYSICAL REVIEW E (2020)

Article Physics, Multidisciplinary

Self-Consistent Correlations of Randomly Coupled Rotators in the Asynchronous State

Alexander van Meegen et al.

PHYSICAL REVIEW LETTERS (2018)

Article Physics, Multidisciplinary

Optimal Sequence Memory in Driven Random Networks

Jannis Schuecker et al.

PHYSICAL REVIEW X (2018)

Article Physics, Fluids & Plasmas

Path integral approach to random neural networks

A. Crisanti et al.

PHYSICAL REVIEW E (2018)

Review Physics, Multidisciplinary

Path integral methods for the dynamics of stochastic and disordered systems

John A. Hertz et al.

JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL (2017)

Article Physics, Multidisciplinary

Asymptotic Description of Neural Networks with Correlated Synaptic Weights

Olivier Faugeras et al.

ENTROPY (2015)

Article Physics, Multidisciplinary

Transition to Chaos in Random Networks with Cell-Type-Specific Connectivity

Johnatan Aljadeff et al.

PHYSICAL REVIEW LETTERS (2015)

Article Physics, Multidisciplinary

Transition to Chaos in Random Neuronal Networks

Jonathan Kadmon et al.

PHYSICAL REVIEW X (2015)

Article Mathematical & Computational Biology

Path Integral Methods for Stochastic Differential Equations

Carson C. Chow et al.

JOURNAL OF MATHEMATICAL NEUROSCIENCE (2015)

Article Physics, Fluids & Plasmas

Dynamics of random neural networks with bistable units

M. Stern et al.

PHYSICAL REVIEW E (2014)

Article Neurosciences

On the Distribution of Firing Rates in Networks of Cortical Neurons

Alex Roxin et al.

JOURNAL OF NEUROSCIENCE (2011)

Review Physics, Multidisciplinary

The large deviation approach to statistical mechanics

Hugo Touchette

PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2009)

Review Physics, Multidisciplinary

Dynamical principles in neuroscience

Mikhail I. Rabinovich et al.

REVIEWS OF MODERN PHYSICS (2006)

Article Biochemistry & Molecular Biology

Highly nonrandom features of synaptic connectivity in local cortical circuits

S Song et al.

PLOS BIOLOGY (2005)