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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Brain-inspired methods for achieving robust computation in heterogeneous mixed-signal neuromorphic processing systems
Dmitrii Zendrikov, Sergio Solinas, Giacomo Indiveri
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 11

Showing 11 citing articles:

Bottom-Up and Top-Down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies Between Natural and Artificial Intelligence
Charlotte Frenkel, David Bol, Giacomo Indiveri
Proceedings of the IEEE (2023) Vol. 111, Iss. 6, pp. 623-652
Open Access | Times Cited: 36
Neuromorphic bioelectronic medicine for nervous system interfaces: from neural computational primitives to medical applications
Elisa Donati, Giacomo Indiveri
Progress in Biomedical Engineering (2023) Vol. 5, Iss. 1, pp. 013002-013002
Open Access | Times Cited: 17
Learning inverse kinematics using neural computational primitives on neuromorphic hardware
Jingyue Zhao, Marco Monforte, Giacomo Indiveri, et al.
npj Robotics (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 5
Constraints on the design of neuromorphic circuits set by the properties of neural population codes
Stefano Panzeri, Ella Janotte, Alejandro Pequeño-Zurro, et al.
Neuromorphic Computing and Engineering (2023) Vol. 3, Iss. 1, pp. 012001-012001
Open Access | Times Cited: 4
Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors
Ugurcan Cakal, Maryada Maryada, Chenxi Wu, et al.
Neuromorphic Computing and Engineering (2024) Vol. 4, Iss. 1, pp. 014011-014011
Open Access | Times Cited: 1
A bio-inspired hardware implementation of an analog spike-based hippocampus memory model
Daniel Casanueva‐Morato, Alvaro Ayuso‐Martinez, Giacomo Indiveri, et al.
(2024)
Open Access | Times Cited: 1
A Bio-inspired Implementation of A Sparse-learning Spike-based Hippocampus Memory Model
Daniel Casanueva‐Morato, Alvaro Ayuso‐Martinez, Juan P. Dominguez‐Morales, et al.
IEEE Transactions on Emerging Topics in Computing (2024), pp. 1-16
Open Access | Times Cited: 1
A review on neuromorphic computing circuits
Jin Chen
Applied and Computational Engineering (2024) Vol. 43, Iss. 1, pp. 167-173
Open Access
A physical emulation of somatosensory cortex as a Neuromorphic Twin for neural prostheses
Héctor Ramírez, Elisa Donati, Wolfger von der Behrens, et al.
Research Square (Research Square) (2024)
Open Access
A physical emulation of somatosensory cortex as a Neuromorphic Twin for neural prostheses
Héctor Ramírez, Elisa Donati, Wolfger von der Behrens, et al.
Research Square (Research Square) (2024)
Open Access
Training and Deploying Spiking NN Applications to the Mixed-Signal Neuromorphic Chip Dynap-SE2 with Rockpool
Uğurcan Çakal, İlkay Ulusoy, Dylan R. Muir
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
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