Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

The geometry of robustness in spiking neural networks
Nuno Calaim, Florian A. Dehmelt, Pedro J. Gonçalves, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 23

Showing 23 citing articles:

Computational methods to study information processing in neural circuits
Veronika Koren, Giulio Bondanelli, Stefano Panzeri
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 910-922
Open Access | Times Cited: 17
Approximating Nonlinear Functions With Latent Boundaries in Low-Rank Excitatory-Inhibitory Spiking Networks
William F. Podlaski, Christian K. Machens
Neural Computation (2024) Vol. 36, Iss. 5, pp. 803-857
Open Access | Times Cited: 8
The impact of spike timing precision and spike emission reliability on decoding accuracy
Wilten Nicola, Thomas Robert Newton, Claudia Clopath
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Increments in visual motion coherence are more readily detected than decrements
Lai Wei, Autumn O. Mitchell, John H. R. Maunsell
Journal of Vision (2023) Vol. 23, Iss. 5, pp. 18-18
Open Access | Times Cited: 14
From Brain Models to Robotic Embodied Cognition: How Does Biological Plausibility Inform Neuromorphic Systems?
Martin Do Pham, Amedeo D’Angiulli, Maryam Mehri Dehnavi, et al.
Brain Sciences (2023) Vol. 13, Iss. 9, pp. 1316-1316
Open Access | Times Cited: 12
Efficient coding in biophysically realistic excitatory-inhibitory spiking networks
Veronika Koren, Simone Blanco Malerba, Tilo Schwalger, et al.
(2025)
Open Access
Efficient coding in biophysically realistic excitatory-inhibitory spiking networks
Veronika Koren, Simone Blanco Malerba, Tilo Schwalger, et al.
(2025)
Open Access
Antifragile control systems in neuronal processing: a sensorimotor perspective
Cristian Axenie
Biological Cybernetics (2025) Vol. 119, Iss. 2-3
Open Access
Combining Sampling Methods with Attractor Dynamics in Spiking Models of Head-Direction Systems
Vojko Pjanovic, Jacob A. Zavatone-Veth, Paul Masset, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Efficient coding in biophysically realistic excitatory-inhibitory spiking networks
Veronika Koren, Simone Blanco Malerba, Tilo Schwalger, et al.
eLife (2025) Vol. 13
Open Access
Structure, dynamics, coding and optimal biophysical parameters of efficient excitatory-inhibitory spiking networks
Veronika Koren, Simone Blanco Malerba, Tilo Schwalger, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Deep inverse modeling reveals dynamic-dependent invariances in neural circuit mechanisms
Richard Gao, Michael Deistler, Auguste Schulz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Closed-Form Control With Spike Coding Networks
Filip S. Slijkhuis, Sander W. Keemink, Pablo Lanillos
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 16, Iss. 5, pp. 1677-1687
Open Access | Times Cited: 6
Signatures of criticality in efficient coding networks
Shervin Safavi, Matthew Chalk, Nikos K. Logothetis, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Structure, dynamics, coding and optimal biophysical parameters of efficient excitatory-inhibitory spiking networks
Veronika Koren, Simone Blanco Malerba, Tilo Schwalger, et al.
eLife (2024)
Open Access | Times Cited: 1
Task success in trained spiking neural network models coincides with emergence of cross-stimulus-modulated inhibition
Yuqing Zhu, Chadbourne M. B. Smith, Tarek Jabri, et al.
Research Square (Research Square) (2024)
Closed Access
Dataset assembly for training Spiking Neural Networks
Anthony Baietto, Christopher Stewart, Trevor Bihl
Neurocomputing (2024), pp. 129207-129207
Closed Access
Increments in Visual Motion Coherence are More Readily Detected than Decrements
Lai Wei, Autumn O. Mitchell, John H. R. Maunsell
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Natural gradient enables fast sampling in spiking neural networks
Paul Masset, Jacob A. Zavatone-Veth, J. Patrick Connor, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Task success in trained spiking neuronal network models coincides with emergence of cross-stimulus-modulated inhibition
Yuqing Zhu, Chadbourne M. B. Smith, Mufeng Tang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
A theory of inference and learning in cortex with spiking neurons and dendritic error computation
Fabian A. Mikulasch
(2023)
Open Access
Prediction mismatch responses arise as corrections of a predictive spiking code
K. van Driel, Lucas Rudelt, Viola Priesemann, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Dataset Augmentation for Robust Spiking Neural Networks
Anthony Baietto, Christopher Stewart, Trevor Bihl
(2023), pp. 116-121
Closed Access
Page 1

Scroll to top