Republished: Dynamics of Stochastic Integrate-and-Fire Networks

GK Ocker - Physical Review X, 2023 - APS
The neural dynamics generating sensory, motor, and cognitive functions are commonly
understood through field theories for neural population activity. Classic neural field theories …

RETRACTED: Dynamics of Stochastic Integrate-and-Fire Networks

GK Ocker - Physical Review X, 2022 - APS
The activity of neuronal populations underlies sensory, motor, and cognitive functions.
Mathematical theories for predicting the macroscopic activity of neural populations are a …

Retraction: Dynamics of Stochastic Integrate-and-Fire Networks [Phys. Rev. X 12, 041007 (2022)]

GK Ocker - Physical Review X, 2023 - APS
I have recently discovered two errors in the one-loop calculations of the original article. First,
the propagator matrix in Tables II and III in the original article was transposed, so that the …

Dynamics of driven recurrent networks of ON and OFF cells

J Lefebvre, A Longtin, VG LeBlanc - Physical Review E, 2009 - APS
A globally coupled network of ON and OFF cells is studied using neural field theory. ON cells
increase their activity when the amplitude of an external stimulus increases, while OFF cells …

Theory of spike-train power spectra for multidimensional integrate-and-fire neurons

S Vellmer, B Lindner - Physical Review Research, 2019 - APS
Multidimensional stochastic integrate-and-fire (IF) models are a standard spike-generator
model in studies of firing variability, neural information transmission, and neural network …

[HTML][HTML] Equilibrium and response properties of the integrate-and-fire neuron in discrete time

M Helias, M Deger, M Diesmann… - Frontiers in computational …, 2010 - frontiersin.org
The integrate-and-fire neuron with exponential postsynaptic potentials is a frequently
employed model to study neural networks. Simulations in discrete time still have highest …

A stochastic-field description of finite-size spiking neural networks

G Dumont, A Payeur, A Longtin - PLOS Computational Biology, 2017 - journals.plos.org
Neural network dynamics are governed by the interaction of spiking neurons. Stochastic
aspects of single-neuron dynamics propagate up to the network level and shape the …

Noise in integrate-and-fire neurons: from stochastic input to escape rates

HE Plesser, W Gerstner - Neural computation, 2000 - ieeexplore.ieee.org
We analyze the effect of noise in integrate-and-fire neurons driven by time-dependent input
and compare the diffusion approximation for the membrane potential to escape noise. It is …

Network mechanisms underlying the role of oscillations in cognitive tasks

H Schmidt, D Avitabile, E Montbrió… - PLoS computational …, 2018 - journals.plos.org
Oscillatory activity robustly correlates with task demands during many cognitive tasks.
However, not only are the network mechanisms underlying the generation of these rhythms …

Integrate-and-fire neurons with threshold noise: A tractable model of how interspike interval correlations affect neuronal signal transmission

B Lindner, MJ Chacron, A Longtin - Physical Review E, 2005 - APS
Many neurons exhibit interval correlations in the absence of input signals. We study the
influence of these intrinsic interval correlations of model neurons on their signal …