Work

Author response: The geometry of robustness in spiking neural networks

Year: 2022

Type: peer-review

Abstract: Spiking neural networks become robust to various perturbations of their parameters if their voltages are confined to a lower-dimensional subspace, and both dynamics and robustness can be visualised in this voltage subspace.

DOI: 10.7554/elife.73276.sa2

Authors: Nuno Calaim, Florian A Dehmelt, Pedro J Gonçalves, Christian K Machens

Institutions: Champalimaud Foundation, Universitätsklinikum Tübingen, Center of Advanced European Studies and Research, Technical University of Munich, University of Tübingen

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

OpenAlex ID: W4286706278

Cites:

Cited by:

Related to: 10