A Caltech Library Service

Topological Model of Neural Information Networks

Marcolli, Matilde (2021) Topological Model of Neural Information Networks. In: Geometric Science of Information. Lecture Notes in Computer Science. No.12829. Springer , Cham, pp. 623-633. ISBN 9783030802080.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


This is a brief overview of an ongoing research project, involving topological models of neural information networks and the development of new versions of associated information measures that can be seen as possible alternatives to integrated information. Among the goals are a geometric modeling of a “space of qualia” and an associated mechanism that constructs and transforms representations from neural codes topologically. The more mathematical aspects of this project stem from the recent joint work of the author and Yuri Manin [18], while the neuroscience modeling aspects are part of an ongoing collaboration of the author with Doris Tsao.

Item Type:Book Section
Related URLs:
URLURL TypeDescription ReadCube access
Marcolli, Matilde0000-0002-2045-2907
Additional Information:© Springer Nature Switzerland AG 2021. First Online: 14 July 2021. Supported by Foundational Questions Institute and Fetzer Franklin Fund FFF grant number FQXi-RFP-1804, SVCF grant 2018-190467 and FQXi-RFP-CPW-2014, SVCF grant 2020-224047.
Funding AgencyGrant Number
Foundational Questions Institute (FQXI)FQXi-RFP-1804
Silicon Valley Community Foundation2018-190467
Foundational Questions Institute (FQXI)RFP-CPW-2014
Silicon Valley Community Foundation2020-224047
Fetzer Franklin FundUNSPECIFIED
Series Name:Lecture Notes in Computer Science
Issue or Number:12829
Record Number:CaltechAUTHORS:20211222-457136400
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:112640
Deposited By: Tony Diaz
Deposited On:22 Dec 2021 21:52
Last Modified:22 Dec 2021 21:52

Repository Staff Only: item control page