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- research-articleSeptember 2024
Computational model of layer 2/3 in mouse primary visual cortex explains observed visuomotor mismatch response
Journal of Computational Neuroscience (SPJCN), Volume 52, Issue 4Pages 323–329https://doi.org/10.1007/s10827-024-00882-2AbstractActivity in layer 2/3 of the mouse primary visual cortex has been shown to depend both on visual input and the mouse’s locomotion. Moreover, this activity is altered by a mismatch between the observed visual flow and the predicted visual flow from ...
- research-articleSeptember 2024
Formation and retrieval of cell assemblies in a biologically realistic spiking neural network model of area CA3 in the mouse hippocampus
Journal of Computational Neuroscience (SPJCN), Volume 52, Issue 4Pages 303–321https://doi.org/10.1007/s10827-024-00881-3AbstractThe hippocampal formation is critical for episodic memory, with area Cornu Ammonis 3 (CA3) a necessary substrate for auto-associative pattern completion. Recent theoretical and experimental evidence suggests that the formation and retrieval of ...
- research-articleSeptember 2024
A computational model of auditory chirp-velocity sensitivity and amplitude-modulation tuning in inferior colliculus neurons
Journal of Computational Neuroscience (SPJCN), Volume 52, Issue 4Pages 285–302https://doi.org/10.1007/s10827-024-00880-4AbstractWe demonstrate a model of chirp-velocity sensitivity in the inferior colliculus (IC) that retains the tuning to amplitude modulation (AM) that was established in earlier models. The mechanism of velocity sensitivity is sequence detection by ...
- research-articleAugust 2024
Firing rate models for gamma oscillations in I-I and E-I networks
Journal of Computational Neuroscience (SPJCN), Volume 52, Issue 4Pages 247–266https://doi.org/10.1007/s10827-024-00877-zAbstractFiring rate models for describing the mean-field activities of neuronal ensembles can be used effectively to study network function and dynamics, including synchronization and rhythmicity of excitatory-inhibitory populations. However, traditional ...
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- research-articleAugust 2024
A computational model elucidating mechanisms and variability in theta burst stimulation responses
Journal of Computational Neuroscience (SPJCN), Volume 52, Issue 3Pages 183–196https://doi.org/10.1007/s10827-024-00875-1AbstractTheta burst stimulation (TBS) is a form of repetitive transcranial magnetic stimulation (rTMS) with unknown underlying mechanisms and highly variable responses across subjects. To investigate these issues, we developed a simple computational ...
- research-articleJuly 2024
Neural waves and computation in a neural net model II: Data-like structures and the dynamics of episodic memory
Journal of Computational Neuroscience (SPJCN), Volume 52, Issue 3Pages 223–243https://doi.org/10.1007/s10827-024-00876-0AbstractThe computational resources of a neuromorphic network model introduced earlier were investigated in the first paper of this series. It was argued that a form of ubiquitous spontaneous local convolution enabled logical gate-like neural motifs to ...
- research-articleJuly 2024
Antiferromagnetic artificial neuron modeling of the withdrawal reflex
Journal of Computational Neuroscience (SPJCN), Volume 52, Issue 3Pages 197–206https://doi.org/10.1007/s10827-024-00873-3AbstractReplicating neural responses observed in biological systems using artificial neural networks holds significant promise in the fields of medicine and engineering. In this study, we employ ultra-fast artificial neurons based on antiferromagnetic (...
- research-articleJuly 2024
Incorporating slow NMDA-type receptors with nonlinear voltage-dependent magnesium block in a next generation neural mass model: derivation and dynamics
Journal of Computational Neuroscience (SPJCN), Volume 52, Issue 3Pages 207–222https://doi.org/10.1007/s10827-024-00874-2AbstractWe derive a next generation neural mass model of a population of quadratic-integrate-and-fire neurons, with slow adaptation, and conductance-based AMPAR, GABAR and nonlinear NMDAR synapses. We show that the Lorentzian ansatz assumption can be ...
- research-articleOctober 2023
On the physiological and structural contributors to the overall balance of excitation and inhibition in local cortical networks
Journal of Computational Neuroscience (SPJCN), Volume 52, Issue 1Pages 73–107https://doi.org/10.1007/s10827-023-00863-xAbstractOverall balance of excitation and inhibition in cortical networks is central to their functionality and normal operation. Such orchestrated co-evolution of excitation and inhibition is established through convoluted local interactions between ...
- review-articleDecember 2022
Neural manifold analysis of brain circuit dynamics in health and disease
Journal of Computational Neuroscience (SPJCN), Volume 51, Issue 1Pages 1–21https://doi.org/10.1007/s10827-022-00839-3AbstractRecent developments in experimental neuroscience make it possible to simultaneously record the activity of thousands of neurons. However, the development of analysis approaches for such large-scale neural recordings have been slower than those ...
- research-articleNovember 2022
The role of astrocytes in place cell formation: A computational modeling study
Journal of Computational Neuroscience (SPJCN), Volume 50, Issue 4Pages 505–518https://doi.org/10.1007/s10827-022-00828-6AbstractPlace cells develop spatially-tuned receptive fields during the early stages of novel environment exploration. The generative mechanism underlying these spatially-selective responses remains largely elusive, but has been associated with theta ...
- research-articleNovember 2022
Weight dependence in BCM leads to adjustable synaptic competition
Journal of Computational Neuroscience (SPJCN), Volume 50, Issue 4Pages 431–444https://doi.org/10.1007/s10827-022-00824-wAbstractModels of synaptic plasticity have been used to better understand neural development as well as learning and memory. One prominent classic model is the Bienenstock-Cooper-Munro (BCM) model that has been particularly successful in explaining ...
- research-articleOctober 2022
The steady state and response to a periodic stimulation of the firing rate for a theta neuron with correlated noise
Journal of Computational Neuroscience (SPJCN), Volume 51, Issue 1Pages 107–128https://doi.org/10.1007/s10827-022-00836-6AbstractThe stochastic activity of neurons is caused by various sources of correlated fluctuations and can be described in terms of simplified, yet biophysically grounded, integrate-and-fire models. One paradigmatic model is the quadratic integrate-and-...
- research-articleSeptember 2022
Topological dissimilarities of hierarchical resting networks in type 2 diabetes mellitus and obesity
Journal of Computational Neuroscience (SPJCN), Volume 51, Issue 1Pages 71–86https://doi.org/10.1007/s10827-022-00833-9AbstractType 2 diabetes mellitus (T2DM) is reported to cause widespread changes in brain function, leading to cognitive impairments. Research using resting-state functional magnetic resonance imaging data already aims to understand functional changes in ...
- research-articleAugust 2022
Dynamical response of Autaptic Izhikevich Neuron disturbed by Gaussian white noise
Journal of Computational Neuroscience (SPJCN), Volume 51, Issue 1Pages 59–69https://doi.org/10.1007/s10827-022-00832-wAbstractUsing the improved memristive Izhikevich neuron model, the effects of autaptic connection as well as electromagnetic induction are studied on the dynamical behavior of neuronal spiking. Using bifurcation analysis for membrane potentials, the ...
- research-articleAugust 2022
Evaluating the extent to which homeostatic plasticity learns to compute prediction errors in unstructured neuronal networks
Journal of Computational Neuroscience (SPJCN), Volume 50, Issue 3Pages 357–373https://doi.org/10.1007/s10827-022-00820-0AbstractThe brain is believed to operate in part by making predictions about sensory stimuli and encoding deviations from these predictions in the activity of “prediction error neurons.” This principle defines the widely influential theory of predictive ...