activity
20122021
most citedA biophysical observation model for field potentials of networks of leaky integrate-and-fire neurons

17 citations · 34 across the 4 of their papers we have counts for

collaborators

6 papers

q-bio.NC20211 cited

Stochastic facilitation in heteroclinic communication channels

Giovanni Sirio Carmantini, Fabio Schittler Neves, Marc Timme +1

Biological neural systems encode and transmit information as patterns of activity tracing complex trajectories in high-dimensional state-spaces, inspiring alternative paradigms of…

math.DS202115 cited

Spike-adding and reset-induced canard cycles in adaptive integrate and fire models

Mathieu Desroches, Piotr Kowalczyk, Serafim Rodrigues

We study a class of planar integrate and fire (IF) models called adaptive integrate and fire (AIF) models, which possesses an adaptation variable on top of membrane potential, and…

q-bio.OT2020

Why we should use Topological Data Analysis in Ageing: towards defining the "Topological shape of ageing"

Tamàs Fülöp, Mathieu Desroches, Fernando Antônio Nóbrega Santos +1

Living systems are subject to the arrow of time; from birth, they undergo complex transformations (self-organization) in a constant battle for survival, but inevitably ageing and d…

math.DS20201 cited

Towards a new classification of bursting patterns: review & extensions

Mathieu Desroches, John Rinzel, Serafim Rodrigues

The mathematical classification of complex bursting oscillations in multiscale excitable systems, seen for example in physics and neuroscience, has been the subject of active enqui…

math.DS2016

Canards, folded nodes and mixed-mode oscillations in piecewise-linear slow-fast systems

Mathieu Desroches, Antoni Guillamon, Enrique Ponce +3

Canard-induced phenomena have been extensively studied in the last three decades, both from the mathematical and from the application viewpoints. Canards in slow-fast systems with…

q-bio.NC201217 cited

A biophysical observation model for field potentials of networks of leaky integrate-and-fire neurons

Peter beim Graben, Serafim Rodrigues

We present a biophysical approach for the coupling of neural network activity as resulting from proper dipole currents of cortical pyramidal neurons to the electric field in extrac…