Artificial transneurons emulate neuronal activity in different areas of brain cortex

Rivu Midya, Ambarish S. Pawar, Debi P. Pattnaik, Eric Mooshagian, Pavel Borisov, Thomas D. Albright, Lawrence H. Snyder, R. Stanley Williams, J. Joshua Yang (), Alexander G. Balanov (), Sergei Gepshtein () and Sergey E. Savel’ev ()
Additional contact information
Rivu Midya: University of Massachusetts
Ambarish S. Pawar: Salk Institute for Biological Studies
Debi P. Pattnaik: Loughborough University
Eric Mooshagian: University of California San Diego
Pavel Borisov: Loughborough University
Thomas D. Albright: Salk Institute for Biological Studies
Lawrence H. Snyder: Washington University School of Medicine
R. Stanley Williams: Texas A&M University
J. Joshua Yang: University of Massachusetts
Alexander G. Balanov: Loughborough University
Sergei Gepshtein: Salk Institute for Biological Studies
Sergey E. Savel’ev: Loughborough University

Nature Communications, 2025, vol. 16, issue 1, 1-15

Abstract: Abstract Rapid development of memristive elements emulating biological neurons creates new opportunities for brain-like computation at low energy consumption. A first step toward mimicking complex neural computations is the analysis of single neurons and their characteristics. Here we measure and model spiking activity in artificial neurons built using diffusive memristors. We compare activity of these artificial neurons with the spiking activity of biological neurons measured in sensory, pre-motor, and motor cortical areas of the monkey (male) brain. We find that artificial neurons can operate in diverse self-sustained and noise-induced spiking regimes that correspond to the activity of different types of cortical neurons with distinct functions. We demonstrate that artificial neurons can function as trans-functional devices (transneurons) that reconfigure their behaviour to attain instantaneous computational needs, each capable of emulating several biological neurons.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-62151-9 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-62151-9

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-62151-9

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().