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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:

Geometric framework to predict structure from function in neural networks
Tirthabir Biswas, James E. Fitzgerald
Physical Review Research (2022) Vol. 4, Iss. 2
Open Access | Times Cited: 18

Showing 18 citing articles:

Connectome-constrained networks predict neural activity across the fly visual system
Janne K. Lappalainen, Fabian Tschopp, Sridhama Prakhya, et al.
Nature (2024) Vol. 634, Iss. 8036, pp. 1132-1140
Open Access | Times Cited: 23
Connectome-constrained deep mechanistic networks predict neural responses across the fly visual system at single-neuron resolution
Janne K. Lappalainen, Fabian Tschopp, Sridhama Prakhya, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 25
Maintaining and updating accurate internal representations of continuous variables with a handful of neurons
Marcella Noorman, Brad K. Hulse, Vivek Jayaraman, et al.
Nature Neuroscience (2024)
Open Access | Times Cited: 4
Linear Classification of Neural Manifolds with Correlated Variability
Albert J. Wakhloo, Tamara J. Sussman, SueYeon Chung
Physical Review Letters (2023) Vol. 131, Iss. 2
Open Access | Times Cited: 9
Stable fixed points of combinatorial threshold-linear networks
Carina Curto, Jesse Geneson, Katherine Morrison
Advances in Applied Mathematics (2023) Vol. 154, pp. 102652-102652
Open Access | Times Cited: 8
Sequential Attractors in Combinatorial Threshold-Linear Networks
Caitlyn Parmelee, Juliana Londono Alvarez, Carina Curto, et al.
SIAM Journal on Applied Dynamical Systems (2022) Vol. 21, Iss. 2, pp. 1597-1630
Open Access | Times Cited: 12
Core motifs predict dynamic attractors in combinatorial threshold-linear networks
Caitlyn Parmelee, Samantha Moore, Katherine Morrison, et al.
PLoS ONE (2022) Vol. 17, Iss. 3, pp. e0264456-e0264456
Open Access | Times Cited: 12
A vast space of compact strategies for effective decisions
Tzuhsuan Ma, Ann M. Hermundstad
Science Advances (2024) Vol. 10, Iss. 25
Open Access | Times Cited: 2
The mechanics of correlated variability in segregated cortical excitatory subnetworks
Alex Negrón, Matthew P. Getz, Gregory Handy, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Self-organization and evolution of structure and function in cultured neuronal networks
L.M. Ballesteros-Esteban, I. Leyva, Juan A. Almendral, et al.
Chaos Solitons & Fractals (2023) Vol. 173, pp. 113764-113764
Open Access | Times Cited: 2
Nerve Theorems for Fixed Points of Neural Networks
Daniela Egas Santander, Stefania Ebli, Alice Patania, et al.
Association for Women in Mathematics series (2022), pp. 129-165
Closed Access | Times Cited: 3
Vertebrate behavioral thermoregulation: knowledge and future directions
Bradley Cutler, Martin Haesemeyer
Neurophotonics (2024) Vol. 11, Iss. 03
Open Access
From the fly connectome to exact ring attractor dynamics
Tirthabir Biswas, Angel Stanoev, Sandro Romani, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Stability through plasticity: Finding robust memories through representational drift
Maanasa Natrajan, James E. Fitzgerald
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Theoretical principles for illuminating sensorimotor processing with brain-wide neuronal recordings
Tirthabir Biswas, William E. Bishop, James E. Fitzgerald
Current Opinion in Neurobiology (2020) Vol. 65, pp. 138-145
Open Access | Times Cited: 3
Self-organization and evolution of function and structure in cultured neuronal networks
L.M. Ballesteros-Esteban, I. Leyva, Juan A. Almendral, et al.
Research Square (Research Square) (2023)
Open Access
ARTIFICIAL NEURAL NETWORKS WITH DYNAMIC SYNAPSES: A REVIEW
Martynas Dumpis
Mokslas - Lietuvos ateitis (2023) Vol. 15, pp. 1-8
Open Access
Differential geometry methods for constructing manifold-targeted recurrent neural networks
Federico Claudi, Tiago Branco
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access
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