Work

Conditions for wave trains in spiking neural networks

Year: 2020

Type: article

Abstract: This study demonstrates that two a priori distinct mathematical models explain wave-like activity patterns in the brain by the same underlying mechanism. The paper unifies models that describe brain tissue as a continuous excitable medium with neuronal network models composed of a large number of impulse-coupled nerve cells.

Source: Physical Review Research

DOI: 10.1103/physrevresearch.2.023174

Authors: Johanna Senk, Karolína Korvasová, Jannis Schuecker, Espen Hagen, Tom Tetzlaff, Markus Diesmann, Moritz Helias

Institutions: Forschungszentrum Jülich, Jülich Aachen Research Alliance, RWTH Aachen University, University of Oslo

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $2,625

Funders: European Commission, Helmholtz-Gemeinschaft, Deutsche Forschungsgemeinschaft, Norges Forskningsråd, RWTH Aachen University, Horizon 2020

Awards: G1129793973, G1163571418, G3156557375, G3160699921, Human Brain Project Specific Grant Agreement 1, G434337789, G543062732, G5673166571, Human Brain Project Specific Grant Agreement 2, G5845877215, G6376233427, G8681506169, G8840750273

OpenAlex ID: W3025169958

FWCI: 2.256

Cites: 141

Cited by: 37

Related to: 10