Work

Nerve Theorems for Fixed Points of Neural Networks

Year: 2022

Type: book-chapter

Source: Association for Women in Mathematics series

DOI: 10.1007/978-3-030-95519-9_6

Authors: Daniela Egas Santander, Stefania Ebli, Alice Patania, Nicole Sanderson, Felicia Burtscher, Katherine Morrison, Carina Curto

Institutions: École Polytechnique Fédérale de Lausanne, Indiana University Bloomington, Indiana University, Lawrence Berkeley National Laboratory, University of Luxembourg, Technische Universität Berlin, University of Northern Colorado, Pennsylvania State University

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Association for Women in Mathematics, Australian Mathematical Sciences Institute, National Institutes of Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, Division of Mathematical Sciences

Awards: G1235099019, Emergent dynamics from network connectivity: a minimal model, Second Workshop for Women in Computational Topology (WinCompTop 2), Collaborative Research: Emergent Sequences in Inhibition-Dominated Recurrent Networks, G4161841536, G4264324352, Collaborative Research: Emergent Sequences in Inhibition-Dominated Recurrent Networks, CRCNS: Circuit dynamics in zebrafish larvae: mechanisms, modulation, and mathematical modeling of network topology and attractor dynamics

OpenAlex ID: W3132778867

FWCI: 1.744

Cites: 17

Cited by: 4

Related to: 10