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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:

Mind the last spike — firing rate models for mesoscopic populations of spiking neurons
Tilo Schwalger, Anton V. Chizhov
Current Opinion in Neurobiology (2019) Vol. 58, pp. 155-166
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex
Yazan N. Billeh, Binghuang Cai, Sergey L. Gratiy, et al.
Neuron (2020) Vol. 106, Iss. 3, pp. 388-403.e18
Open Access | Times Cited: 253
Effect of Cauchy noise on a network of quadratic integrate-and-fire neurons with non-Cauchy heterogeneities
Viktoras Pyragas, K. Pyragas
Physics Letters A (2023) Vol. 480, pp. 128972-128972
Open Access | Times Cited: 13
A refractory density approach to a multi-scale SEIRS epidemic model
Anton V. Chizhov, Laurent Pujo-Menjouet, Tilo Schwalger, et al.
Infectious Disease Modelling (2025)
Open Access
Universal behavior of the two-times correlation functions of random processes with renewal
Marco Bianucci, Mauro Bologna, Daniele Lagomarsino Oneto, et al.
Chaos Solitons & Fractals (2025) Vol. 196, pp. 116351-116351
Open Access
Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity
Valentin Schmutz, Wulfram Gerstner, Tilo Schwalger
The Journal of Mathematical Neuroscience (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 30
Ultrafast simulation of large-scale neocortical microcircuitry with biophysically realistic neurons
Viktor Janos Oláh, Nigel P. Pedersen, Matthew JM Rowan
eLife (2022) Vol. 11
Open Access | Times Cited: 14
Self-Consistent Stochastic Dynamics for Finite-Size Networks of Spiking Neurons
Gianni Valerio Vinci, Roberto Benzi, Maurizio Mattia
Physical Review Letters (2023) Vol. 130, Iss. 9
Open Access | Times Cited: 8
On a Finite-Size Neuronal Population Equation
Valentin Schmutz, Eva Löcherbach, Tilo Schwalger
SIAM Journal on Applied Dynamical Systems (2023) Vol. 22, Iss. 2, pp. 996-1029
Open Access | Times Cited: 7
Low-dimensional firing-rate dynamics for populations of renewal-type spiking neurons
Bastian Pietras, Noé Gallice, Tilo Schwalger
Physical review. E (2020) Vol. 102, Iss. 2
Open Access | Times Cited: 18
Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity
Bastian Pietras, Valentin Schmutz, Tilo Schwalger
PLoS Computational Biology (2022) Vol. 18, Iss. 12, pp. e1010809-e1010809
Open Access | Times Cited: 12
Reduction of the collective dynamics of neural populations with realistic forms of heterogeneity
Vladimir Klinshov, S. Yu. Kirillov, Vladimir I. Nekorkin
Physical review. E (2021) Vol. 103, Iss. 4
Closed Access | Times Cited: 15
Systematic Integration of Structural and Functional Data into Multi-Scale Models of Mouse Primary Visual Cortex
Yazan N. Billeh, Binghuang Cai, Sergey L. Gratiy, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 17
Pattern Formation in a Spiking Neural-Field of Renewal Neurons
Grégory Dumont, Carmen Oana Tarniceriu
SIAM Journal on Applied Dynamical Systems (2024) Vol. 23, Iss. 4, pp. 2670-2694
Open Access | Times Cited: 1
Inference of a Mesoscopic Population Model from Population Spike Trains
Alexandre René, André Longtin, Jakob H. Macke
Neural Computation (2020) Vol. 32, Iss. 8, pp. 1448-1498
Open Access | Times Cited: 12
Oscillations in a Fully Connected Network of Leaky Integrate-and-Fire Neurons with a Poisson Spiking Mechanism
Grégory Dumont, Jacques Henry, Carmen Oana Tarniceriu
Journal of Nonlinear Science (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 4
Refractory density model of cortical direction selectivity: Lagged-nonlagged, transient-sustained, and On-Off thalamic neuron-based mechanisms and intracortical amplification
Anton V. Chizhov, Natalia Merkulyeva
PLoS Computational Biology (2020) Vol. 16, Iss. 10, pp. e1008333-e1008333
Open Access | Times Cited: 10
A multiple time renewal equation for neural assemblies with elapsed time model
Nicolás Torres, Benoı̂t Perthame, Delphine Salort
Nonlinearity (2022) Vol. 35, Iss. 10, pp. 5051-5075
Open Access | Times Cited: 7
Ictal wavefront propagation in slices and simulations with conductance-based refractory density model
Anton V. Chizhov, Dmitry V. Amakhin, Elena Y. Smirnova, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 1, pp. e1009782-e1009782
Open Access | Times Cited: 7
Dynamics of a network of quadratic integrate-and-fire neurons with bimodal heterogeneity
Viktoras Pyragas, K. Pyragas
Physics Letters A (2021) Vol. 416, pp. 127677-127677
Open Access | Times Cited: 9
Modeling Instantaneous Firing Rate of Deep Brain Stimulation Target Neuronal Ensembles in the Basal Ganglia and Thalamus
Yupeng Tian, Matthew J. H. Murphy, Leon A Steiner, et al.
Neuromodulation Technology at the Neural Interface (2023) Vol. 27, Iss. 3, pp. 464-475
Closed Access | Times Cited: 3
Uncovering network mechanism underlying thalamic Deep Brain Stimulation using a novel firing rate model
Yupeng Tian, Edward M. Bello, David Crompton, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Mapping input noise to escape noise in integrate-and-fire neurons: a level-crossing approach
Tilo Schwalger
Biological Cybernetics (2021) Vol. 115, Iss. 5, pp. 539-562
Open Access | Times Cited: 8
Molecular mechanisms of action determine inhibition of paroxysmal depolarizing shifts by NMDA receptor antagonists in rat cortical neurons
Maxim V. Nikolaev, Anton V. Chizhov, Denis B. Tikhonov
Neuropharmacology (2020) Vol. 184, pp. 108443-108443
Closed Access | Times Cited: 6
A simple one-dimensional map-based model of spiking neurons with wide ranges of firing rates and complexities
Alireza Bahramian, R. Janarthanan, Fahimeh Nazarimehr, et al.
Journal of Theoretical Biology (2022) Vol. 539, pp. 111062-111062
Closed Access | Times Cited: 4
A framework for macroscopic phase-resetting curves for generalised spiking neural networks
Grégory Dumont, Alberto Pérez-Cervera, Boris Gutkin
PLoS Computational Biology (2022) Vol. 18, Iss. 8, pp. e1010363-e1010363
Open Access | Times Cited: 3
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