Journal of Computational Neuroscience

Papers
(The TQCC of Journal of Computational Neuroscience is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Introduction to the proceedings of the CNS*2023 meeting46
Firing rate models for gamma oscillations in I-I and E-I networks40
The method for assessment of local permutations in the glomerular patterns of the rat olfactory bulb by aligning interindividual odor maps35
Computational modeling predicts regulation of central pattern generator oscillations by size and density of the underlying heterogenous network19
Modelling the effect of allopregnanolone on the resolution of spike-wave discharges11
The steady state and response to a periodic stimulation of the firing rate for a theta neuron with correlated noise11
A unified physiological framework of transitions between seizures, sustained ictal activity and depolarization block at the single neuron level10
Oscillations and variability in neuronal systems: interplay of autonomous transient dynamics and fast deterministic fluctuations10
Network effects of traumatic brain injury: from infra slow to high frequency oscillations and seizures10
Different parameter solutions of a conductance-based model that behave identically are not necessarily degenerate9
Comparing performance between a deep neural network and monkeys with bilateral removals of visual area TE in categorizing feature-ambiguous stimuli9
Correction to: Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models8
Incorporating slow NMDA-type receptors with nonlinear voltage-dependent magnesium block in a next generation neural mass model: derivation and dynamics8
Estimating anisotropy directly via neural timeseries8
Antiferromagnetic artificial neuron modeling of the withdrawal reflex7
Where are the cores in this thing? …and what are they computing? (with apologies to Larry Abbott)7
Bayesian prediction of psychophysical detection responses from spike activity in the rat sensorimotor cortex6
Improving a cortical pyramidal neuron model’s classification performance on a real-world ecg dataset by extending inputs6
Local inhibition in a model of the indirect pathway globus pallidus network slows and deregularizes background firing, but sharpens and synchronizes responses to striatal input6
Transmission of delta band (0.5-4 Hz) oscillations from the globus pallidus to the substantia nigra pars reticulata in dopamine depletion6
Multi-scale model of neural entrainment by transcranial alternating current stimulation in realistic cortical anatomy6
A mean-field model of gamma-frequency oscillations in networks of excitatory and inhibitory neurons5
33rd Annual Computational Neuroscience Meeting: CNS*20244
Self-supervised learning of scale-invariant neural representations of space and time4
Postsynaptic frequency filters shaped by the interplay of synaptic short-term plasticity and cellular time scales4
Integrating computational neuroscience into Africa’s academic curriculum: Challenges, opportunities, and strategic implementation4
Neural waves and computation in a neural net model II: Data-like structures and the dynamics of episodic memory4
An attention-based fuzzy CNN-LTSM network for visual object recognition from fMRI images3
Slow negative feedback enhances robustness of square-wave bursting3
A simplified model of NMDA-receptor-mediated dynamics in leaky integrate-and-fire neurons3
Analysis of hippocampal local field potentials by diffusion mapped delay coordinates3
Formation and retrieval of cell assemblies in a biologically realistic spiking neural network model of area CA3 in the mouse hippocampus3
Thalamocortical bistable switch as a theoretical model of fibromyalgia pathogenesis inferred from a literature survey3
Topological dissimilarities of hierarchical resting networks in type 2 diabetes mellitus and obesity3
Representing stimulus motion with waves in adaptive neural fields3
Localist neural plasticity identified by mutual information3
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