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Light-Induced Neuron-Like Bursts.

Overview

Authors: Jitendra Kumar1, Roberto Fenollosa1, Gonzalo Rivera-Sierra1, So-Yeon Kim1, Juan Bisquert1
ORCID iDs: Jitendra Kumar, Roberto Fenollosa, Gonzalo Rivera-Sierra, So-Yeon Kim, Juan Bisquert
  1. Instituto de Tecnología Química (ITQ), Consejo Superior de Investigaciones Científicas−Universitat Politècnica de València, 46022 Valencia, Spain
Institutions: Consejo Superior de Investigaciones Científicas (Spain); Universitat Politècnica de València (Spain)
Journal: The journal of physical chemistry letters, volume 17, issue 34, pages 9856-9861
Dates: received 15 June 2026; accepted 30 July 2026; published online 13 August 2026; in print August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1021/acs.jpclett.6c01968 · PMID 42614093 · PMCID PMC13528274 · OpenAlex W7202342843
Open access: hybrid, a free copy (OpenAlex)
Status: data only
Topic: Neural Networks and Reservoir Computing (Artificial Intelligence, Computer Science), according to OpenAlex
Funding: Ministerio de Ciencia e Innovación (CEX2021-001230-S); Universitat Politècnica de València (CRUE); European Research Council (101097688)
Citations: not cited yet (Europe PMC); 19 references in the paper

Abstract

Aside from recent advances in artificial intelligence (AI) models, specialized AI hardware has become increasingly important for processing large volumes of unstructured and dynamically evolving data at the edge. The growing demand for on-device learning calls for dynamically reconfigurable systems that are capable of responding to continuously changing environments. Here, we demonstrate a dynamic approach to information processing using devices exhibiting negative differential resistance operated near their folding point, where oscillatory input signals induce controllable bursting dynamics. In this regime, time-varying input signals generate tunable spike responses governed by the waveform characteristics. We systematically investigate the influence of input amplitude, frequency, and DC offset on the resulting device dynamics. The observed sensitivity enables compact encoding and discrimination of temporal signal features without external clocking. These results establish negative differential resistance devices as promising platforms for asynchronous signal classification based on intrinsic nonlinear dynamics.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

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Data

Datasets cited

Data Availability Statement

The data presented here can be accessed at 10.5281/zenodo.20440340 (https://doi.org/10.5281/zenodo.20440340) (Zenodo) under the license CC BY 4.0 (Creative Commons Attribution 4.0 International).

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 3, 28 September 2026

  • Publisher: n/a → American Chemical Society

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 5 funders, 19 references.

Cite

This paper

Kumar, J., Fenollosa, R., Rivera-Sierra, G., Kim, S.-Y., & Bisquert, J. (2026). Light-Induced Neuron-Like Bursts. The journal of physical chemistry letters, 17(34), 9856-9861. https://doi.org/10.1021/acs.jpclett.6c01968

BibTeX

@article{kumar2026light,
author = {Kumar, Jitendra and Fenollosa, Roberto and Rivera-Sierra, Gonzalo and Kim, So-Yeon and Bisquert, Juan},
title = {{Light-Induced Neuron-Like Bursts}},
journal = {The journal of physical chemistry letters},
year = {2026},
month = aug,
volume = {17},
number = {34},
pages = {9856--9861},
publisher = {American Chemical Society},
issn = {1948-7185},
doi = {10.1021/acs.jpclett.6c01968},
url = {https://doi.org/10.1021/acs.jpclett.6c01968},
pmid = {42614093},
pmcid = {PMC13528274}
}

RIS

TY - JOUR
AU - Kumar, Jitendra
AU - Fenollosa, Roberto
AU - Rivera-Sierra, Gonzalo
AU - Kim, So-Yeon
AU - Bisquert, Juan
TI - Light-Induced Neuron-Like Bursts
T2 - The journal of physical chemistry letters
J2 - J Phys Chem Lett
PY - 2026
DA - 2026/08/01
VL - 17
IS - 34
SP - 9856
EP - 9861
SN - 1948-7185
PB - American Chemical Society
DO - 10.1021/acs.jpclett.6c01968
UR - https://doi.org/10.1021/acs.jpclett.6c01968
LA - en
ER -

CSL-JSON

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