Integrated Information Decomposition Unveils Major Structural Traits of In Silico and In Vitro Neuronal Networks

no code implementations • 30 Jan 2024 • Gustavo Menesse, Akke Mats Houben, Jordi Soriano, Joaquin J. Torres

Here, working with in silico and in vitro data, we use $\Phi$-ID to decompose the usual transfer entropy measure into the different modes for transmission of information in a system, e. g, synergistic and unique information transfer and copy.

Matched transient and steady-state approximation of first-passage-time distributions of coloured noise driven leaky neurons

no code implementations • 3 Feb 2021 • Akke Mats Houben

These approximations follow from a simple manipulation, made possible by the specific `eigen' colouring of the noise, which allows to express the membrane potential as a Gaussian diffusion process on top of a deterministic exponential movement.

Signal anticipation and delay in excitable media: group delay of the FitzHugh-Nagumo model

no code implementations • 2 Jan 2021 • Akke Mats Houben

An expression for the group delay of the FitzHugh-Nagumo model in response to low amplitude input is obtained by linearisation of the cubic term of the voltage equation around its stable fixed-point.