Person
Tilo Schwalger
This person is no longer with EPFL
Related publications (16)
Interspike interval correlation in a stochastic exponential integrate-and-fire model with subthreshold and spike-triggered adaptation
We study the spike statistics of an adaptive exponential integrate-and-fire neuron stimulated by white Gaussian current noise. We derive analytical approximations for the coefficient of variation and the serial correlation coefficient of the interspike int ...
Springer2015Analytical approach to an integrate-and-fire model with spike-triggered adaptation
The calculation of the steady-state probability density for multidimensional stochastic systems that do not obey detailed balance is a difficult problem. Here we present the analytical derivation of the stationary joint and various marginal probability den ...
2015Statistical structure of neural spiking under non-Poissonian stimulation
Can we understand the interspike interval (ISI) statistics of spontaneous neural activity? What is the relation between input and output statistics of a neuron? --> Important for understanding population activity. Most theoretical studies assume that neuro ...
2014Network dynamics of spiking neurons with adaptation
Tilo Schwalger, Richard Naud, Moritz Deger
How to describe circuit level cortical dynamics? ...
2014Fluctuations and information filtering in coupled populations of spiking neurons with adaptation
Wulfram Gerstner, Tilo Schwalger, Richard Naud, Moritz Deger
Finite-sized populations of spiking elements are fundamental to brain function but also are used in many areas of physics. Here we present a theory of the dynamics of finite-sized populations of spiking units, based on a quasirenewal description of neurons ...
2014Patterns of interval correlations in neural oscillators with adaptation
Neural firing is often subject to negative feedback by adaptation currents. These currents can induce strong correlations among the time intervals between spikes. Here we study analytically the interval correlations of a broad class of noisy neural oscilla ...
Frontiers Research Foundation2013