Academic Journal
Q1Neuromorphic Computing and Engineering
About Neuromorphic Computing and Engineering
Neuromorphic Computing and Engineering is a scholarly journal published by Institute of Physics. SCImago 2025 lists it in Q1, with an SJR of 1.319 and H-index of 26.
Coverage: 2021-2026. Research categories: Artificial Intelligence (Q1); Electrical and Electronic Engineering (Q1); Electronic, Optical and Magnetic Materials (Q1); Hardware and Architecture (Q1).
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2026-07-24. This snapshot does not establish today’s listing status or fee quotation.
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Source-backed journal facts
Topics in published research
Advanced Memory and Neural Computing; Ferroelectric and Negative Capacitance Devices; Neural Networks and Reservoir Computing; Neural dynamics and brain function; Neural Networks and Applications; Neuroscience and Neural Engineering.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Storing sensor events in the interconnection strength of conducting polymer dendrites
Antoine Baron, Bilel Hafsi, Enrique H. Balaguera, Sébastien Pecqueur et al.
2026-10-02 · DOI: 10.1088/2634-4386/aeaf79Beyond binary SNNs: a hardware-algorithm co-design and architectural evaluation for graded spike networks
Wenfei Song, Andrea Castagnetti, Pierre-Emmanuel Novac, Benoit Miramond et al.
2026-10-01 · DOI: 10.1088/2634-4386/aeaf15A neuromodulable current-mode silicon neuron for robust and adaptive neuromorphic systems
Loris Mendolia, Chenxi Wen, Elisabetta Chicca, Giacomo Indiveri et al.
2026-10-01 · DOI: 10.1088/2634-4386/aeaf14A low-power multichannel seizure detection system based on MoS₂ neuromorphic reservoir computing
Lorenzo Pittoni, Matteo Farronato, Arianna Capodiferro, Liangyu Chen et al.
2026-09-30 · DOI: 10.1088/2634-4386/aeae69Continuous attribution on discrete spikes: revealing the explainability paradox in spiking neural networks
Mustafa Oltan Sevinc, Liao Wu, Francisco Cruz
2026-09-30 · DOI: 10.1088/2634-4386/aeae68Generalizing equilibrium propagation to Lagrangian systems with arbitrary boundary conditions & equivalence with Hamiltonian echo learning
Guillaume Pourcel, Debabrota Basu, Maxence Ernoult, Aditya Gilra et al.
2026-09-25 · DOI: 10.1088/2634-4386/aeac80Neural dynamical systems on ferroelectric compute-in-memory for real-time forecasting
Keshava Katti, Adithya Selvakumar, Pratik Chaudhari, Deep Jariwala et al.
2026-09-25 · DOI: 10.1088/2634-4386/aeac81Modular memristor model with synaptic-like plasticity and volatile memory
Daniel Habart, Stephen Foulger, Kristyna Kovacova, Ambika Pandey et al.
2026-09-21 · DOI: 10.1088/2634-4386/aeaa7eHybrid LIF-ABRF spiking neural networks for fully neuromorphic spike detection in brain-machine interfaces
Pao-Sheng Vincent Sun, Ye Ke, Arindam Basu
2026-09-09 · DOI: 10.1088/2634-4386/aea4ecGPU and RISC-V acceleration for neuromorphic computing based on spiking neural networks: taxonomy, comparison, and open challenges
Edris Zaman Farsa, Amirhossein Ilkhani, Marc Reichenbach, Amirreza Yousefzadeh et al.
2026-09-01 · DOI: 10.1088/2634-4386/aea4ebNode perturbation can effectively train multi-layer neural networks
Sander Dalm, Marcel van Gerven, Nasir Ahmad
2026-09-01 · DOI: 10.1088/2634-4386/ae9be4An infrared-sensing memory device based on Se 0.3 Te 0.7 /CuInP 2 S 6 heterostructure for convolutionalneural network computing
Xuyang Zheng, Yuxi Chen, Jiajia Zha, Kekang Liu et al.
2026-09-01 · DOI: 10.1088/2634-4386/ae9be5Thermodynamic computing with oscillatory neural networks for linear algebra problems
G Tsormpatzoglou, F Sabo, A Todri-Sanial
2026-09-01 · DOI: 10.1088/2634-4386/ae9e69Moisture effects on diffusive memristors
Seung Ju Kim, Ruoyu Zhao, Yichun Xu, Jian Zhao et al.
2026-09-01 · DOI: 10.1088/2634-4386/ae9982A closer-to-brain heterosynaptic learning rule for spatiotemporal spike pattern detection with low-resolution synapse
Shunta Furuichi, Takashi Kohno
2026-09-01 · DOI: 10.1088/2634-4386/aea01bEvent-driven eligibility propagation in large sparse networks
Agnes Korcsak-Gorzo, Jesús A Espinoza-Valverde, Jonas Stapmanns, Hans Ekkehard Plesser et al.
2026-09-01 · DOI: 10.1088/2634-4386/ae96d1Neuromorphic imaging cytometry: event-driven cell analytics powered by AI
Ziyao Zhang, Shijie Xu, Jiayin Li, Helen M McGuire et al.
2026-09-01 · DOI: 10.1088/2634-4386/aea184Roadmap for neuromorphic organic devices
Michele Di Lauro, Fabien Alibart, Olivier Bardagot, Pietro Belleri et al.
2026-09-01 · DOI: 10.1088/2634-4386/ae9338Metastable neural assemblies on a wiring–weight continuum
Felix J Schmitt, David Dahmen, Franziska L Müller, Martin P Nawrot et al.
2026-09-01 · DOI: 10.1088/2634-4386/ae98aeTouchReal: an online neuromorphic tactile framework for biomimetic afferent spike generation based on TouchSim
Xingchen Xu, Hannes P Saal, Benjamin Ward-Cherrier
2026-09-01 · DOI: 10.1088/2634-4386/ae98b0Reviews
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Version History
October 4, 2026 at 8:53 pm
September 25, 2026