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 …
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 …
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 …
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 …
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
Multidimensional stochastic integrate-and-fire (IF) models are a standard spike-generator
model in studies of firing variability, neural information transmission, and neural network …
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
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 …
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 …
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 …
and compare the diffusion approximation for the membrane potential to escape noise. It is …
Network mechanisms underlying the role of oscillations in cognitive tasks
Oscillatory activity robustly correlates with task demands during many cognitive tasks.
However, not only are the network mechanisms underlying the generation of these rhythms …
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 …
influence of these intrinsic interval correlations of model neurons on their signal …