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Analysis of institutional authors

Otero, ACorresponding AuthorDe La Torre, EAuthor

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March 25, 2025
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Proceedings Paper
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Evolutionary FPGA-Based Spiking Neural Networks for Continual Learning

Publicated to: Syntactic ASP Forgetting with Forks. 14251 260-274 - 2023-01-01 14251(), DOI: 10.1007/978-3-031-42921-7_18

Authors:

Otero, A; Sanllorente, G; de la Torre, E; Nunez-Yanez, J
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Affiliations

Linkoping Univ, Dept Elect Engn - Author
Univ Politecn Madrid, Ctr Elect Ind - Author

Abstract

Spiking Neural Networks (SNNs) constitute a representative example of neuromorphic computing in which event-driven computation is mapped to neuron spikes reducing power consumption. A challenge that limits the general adoption of SNNs is the need for mature training algorithms compared with other artificial neural networks, such as multilayer perceptrons or convolutional neural networks. This paper explores the use of evolutionary algorithms as a black-box solution for training SNNs. The selected SNN model relies on the Izhikevich neuron model implemented in hardware. Differently from state-of-the-art, the approach followed in this paper integrates within the same System-on-a-chip (SoC) both the training algorithm and the SNN fabric, enabling continuous network adaptation in-field and, thus, eliminating the barrier between offline (training) and online (inference). A novel encoding approach for the inputs based on receptive fields is also provided to improve network accuracy. Experimental results demonstrate that these techniques perform similarly to other algorithms in the literature without dynamic adaptability for classification and control problems.
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Keywords

AlgorithmClassificationEvolutionary algorithmsFpgasModelSpiking neural networks

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Syntactic ASP Forgetting with Forks due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2023, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category .

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-09:

  • WoS: 1
  • Scopus: 1
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-09:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 5.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 5 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/80635/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 246
  • Downloads: 271
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Sweden.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Palumbo, F) .

the author responsible for correspondence tasks has been OTERO MARNOTES, JOSE ANDRES.

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