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:

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

Showing 1-25 of 30 citing articles:

Adaptive dynamical networks
Rico Berner, Thilo Groß, Christian Kuehn, et al.
Physics Reports (2023) Vol. 1031, pp. 1-59
Open Access | Times Cited: 58
Exact neural mass model for synaptic-based working memory
Halgurd Taher, Alessandro Torcini, Simona Olmi
PLoS Computational Biology (2020) Vol. 16, Iss. 12, pp. e1008533-e1008533
Open Access | Times Cited: 46
Pulse Shape and Voltage-Dependent Synchronization in Spiking Neuron Networks
Bastian Pietras
Neural Computation (2024) Vol. 36, Iss. 8, pp. 1476-1540
Open Access | Times Cited: 5
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
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity
Benoit Duchet, Christian Bick, Áine Byrne
Neural Computation (2023) Vol. 35, Iss. 9, pp. 1481-1528
Open Access | Times Cited: 11
Constructive role of shot noise in the collective dynamics of neural networks
Vladimir Klinshov, Pavel S. Smelov, S. Yu. Kirillov
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 6
Closed Access | Times Cited: 10
Mean-field approximations of networks of spiking neurons with short-term synaptic plasticity
Richard Gast, Thomas R. Knösche, Helmut Schmidt
Physical review. E (2021) Vol. 104, Iss. 4
Open Access | Times Cited: 22
Linear-nonlinear cascades capture synaptic dynamics
Julian Rossbroich, Daniel Trotter, John Beninger, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 3, pp. e1008013-e1008013
Open Access | Times Cited: 20
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
Principles underlying the input-dependent formation and organization of memories
Juliane Herpich, Christian Tetzlaff
Network Neuroscience (2019) Vol. 3, Iss. 2, pp. 606-634
Open Access | Times Cited: 17
Multimodal parameter spaces of a complex multi-channel neuron model
Y. Curtis Wang, Johann Rudi, James Velasco, et al.
Frontiers in Systems Neuroscience (2022) Vol. 16
Open Access | Times Cited: 7
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
Mean-field approximations with adaptive coupling for networks with spike-timing-dependent plasticity
Benoit Duchet, Christian Bick, Áine Byrne
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5
Emergent population activity in metric-free and metric networks of neurons with stochastic spontaneous spikes and dynamic synapses
Dmitrii Zendrikov, A. V. Paraskevov
Neurocomputing (2021) Vol. 461, pp. 727-742
Open Access | Times Cited: 4
A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience
João Pedro Gomes dos Santos, Kadri Pajo, Daniel Trpevski, et al.
Neuroinformatics (2021) Vol. 20, Iss. 1, pp. 241-259
Open Access | Times Cited: 4
New biophysical rate-based modeling of long-term plasticity in mean-field neuronal population models
Chih-Hsu Huang, Chou‐Ching K. Lin
Computers in Biology and Medicine (2023) Vol. 163, pp. 107213-107213
Closed Access | Times Cited: 1
Dynamics and bifurcation structure of a mean-field model of adaptive exponential integrate-and-fire networks
Lionel Kusch, Damien Depannemaecker, Alain Destexhe, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
A system of interacting neurons with short term plasticity
Antonio Galves, Eva Löcherbach, Christophe Pouzat, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 2
Synaptic dynamics as convolutional units
Julian Rossbroich, Daniel Trotter, Katalin Tóth, et al.
RePEc: Research Papers in Economics (2020)
Open Access | Times Cited: 2
A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience
João Pedro Gomes dos Santos, Kadri Pajo, Daniel Trpevski, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 1
Algorithmic Parameter Estimation and Uncertainty Quantification for Hodgkin-Huxley Neuron Models
Y. Curtis Wang, Nirvik Sinha, Johann Rudi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Short-Term Synaptic Plasticity: Microscopic Modelling and (Some) Computational Implications
Alessandro Barri, Gianluigi Mongillo
Advances in experimental medicine and biology (2021), pp. 105-121
Closed Access | Times Cited: 1
Quantifying Consistency and Information Loss for Causal Abstraction Learning
Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas
(2023), pp. 5750-5757
Open Access
Page 1 - Next Page

Scroll to top