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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:

Spiking attractor model of motor cortex explains modulation of neural and behavioral variability by prior target information
Vahid Rostami, Thomas Rost, Felix Johannes Schmitt, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 18

Showing 18 citing articles:

Metastable dynamics of neural circuits and networks
Braden A. W. Brinkman, Han Yan, Arianna Maffei, et al.
Applied Physics Reviews (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 49
The generation of cortical novelty responses through inhibitory plasticity
Auguste Schulz, Christoph Miehl, Michael J. Berry, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 46
Neural mechanisms underlying the temporal organization of naturalistic animal behavior
Luca Mazzucato
eLife (2022) Vol. 11
Open Access | Times Cited: 28
Neural manifolds in V1 change with top-down signals from V4 targeting the foveal region
Aitor Morales-Gregorio, Anno C. Kurth, Junji Ito, et al.
Cell Reports (2024) Vol. 43, Iss. 7, pp. 114371-114371
Open Access | Times Cited: 5
Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks
Philipp Weidel, Renato Duarte, Abigail Morrison
Frontiers in Computational Neuroscience (2021) Vol. 15
Open Access | Times Cited: 18
Linking cortex and contraction—Integrating models along the corticomuscular pathway
Lysea Haggie, Laura Schmid, Oliver Röhrle, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 6
Role of interneuron subtypes in controlling trial-by-trial output variability in the neocortex
Lihao Guo, Arvind Kumar
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 6
State-Dependent Regulation of Cortical Processing Speed via Gain Modulation
David G Wyrick, Luca Mazzucato
Journal of Neuroscience (2021) Vol. 41, Iss. 18, pp. 3988-4005
Open Access | Times Cited: 12
The generation of cortical novelty responses through inhibitory plasticity
Auguste Schulz, Christoph Miehl, Michael J. Berry, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 12
Interspike interval correlations in neuron models with adaptation and correlated noise
Lukas Ramlow, Benjamin Lindner
PLoS Computational Biology (2021) Vol. 17, Iss. 8, pp. e1009261-e1009261
Open Access | Times Cited: 10
Microscopic theory of intrinsic timescales in spiking neural networks
Alexander van Meegen, Sacha J. van Albada
Physical Review Research (2021) Vol. 3, Iss. 4
Open Access | Times Cited: 10
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST
Felix Johannes Schmitt, Vahid Rostami, Martin Paul Nawrot
Frontiers in Neuroinformatics (2023) Vol. 17
Open Access | Times Cited: 2
Predicting the effect of micro-stimulation on macaque prefrontal activity based on spontaneous circuit dynamics
Amin Nejatbakhsh, Francesco Fumarola, Saleh Esteki, et al.
Physical Review Research (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 2
Learning-related oscillatory dynamics in the human cortico-basal ganglia network during motor sequence initiation in Parkinson’s Disease
Kara N. Presbrey, Thomas A. Wozny, Kenneth H. Louie, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Predicting perturbation effects from resting activity using functional causal flow
Amin Nejatbakhsh, Francesco Fumarola, Saleh Esteki, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 2
Unsupervised learning and clustered connectivity enhance reinforcement learning in spiking neural networks
Philipp Weidel, Renato Duarte, Abigail Morrison
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 1
State-dependent regulation of cortical processing speed via gain modulation
David G Wyrick, Luca Mazzucato
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 1
State-dependent regulation of cortical processing speed via gain modulation
David G Wyrick, Luca Mazzucato
arXiv (Cornell University) (2020)
Closed Access
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