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A simplified model of NMDA-receptor-mediated dynamics in leaky integrate-and-fire neurons
A simplified model of NMDA-receptor-mediated dynamics in leaky integrate-and-fire neurons
A model for NMDA-receptor-mediated synaptic currents in leaky integrate-and-fire neurons, first proposed by Wang (J Neuros...
An attention-based fuzzy CNN-LTSM network for visual object recognition from fMRI images
An attention-based fuzzy CNN-LTSM network for visual object recognition from fMRI images
Decoding visual stimuli is an increasing challenge in the field of neuroscience. It is hoped to classify the patterns of b...
Multi-scale model of neural entrainment by transcranial alternating current stimulation in realistic cortical anatomy
Multi-scale model of neural entrainment by transcranial alternating current stimulation in realistic cortical anatomy
Transcranial alternating current stimulation (tACS) enables non-invasive modulation of brain activity, holding promise for...
Differential temporal filtering in the fly optic lobe
Differential temporal filtering in the fly optic lobe
Visual interneurons come in many different flavors, representing luminance changes at one location as ON or OFF signals wi...
Rhythm generation, robustness, and control in stick insect locomotion: modeling and analysis
Rhythm generation, robustness, and control in stick insect locomotion: modeling and analysis
Stick insect stepping patterns have been studied for insights about locomotor rhythm generation and control, because the u...
Postsynaptic frequency filters shaped by the interplay of synaptic short-term plasticity and cellular time scales
Postsynaptic frequency filters shaped by the interplay of synaptic short-term plasticity and cellular time scales
Neuronal frequency filters can be thought of as constituent building blocks underlying the ability of neuronal systems to ...
Parameter estimation of the network of FitzHugh-Nagumo neurons based on the speed-gradient and filtering
Parameter estimation of the network of FitzHugh-Nagumo neurons based on the speed-gradient and filtering
The paper addresses the problem of parameter estimation (or identification) in dynamical networks composed of an arbitrary...
Dendritic interaction of timescales in afterdepolarization potentials and nonmonotonic spike-adding
Dendritic interaction of timescales in afterdepolarization potentials and nonmonotonic spike-adding
Depolarizations that occur after action potentials, known as afterdepolarization potentials or ADPs, are important for neu...
Spike count analysis for multiplexing inference (SCAMPI)
Spike count analysis for multiplexing inference (SCAMPI)
Understanding how neurons encode multiple simultaneous stimuli is a fundamental question in neuroscience. We have previous...
The role of connectivity for the degeneracy of the brain’s resting state dynamics
The role of connectivity for the degeneracy of the brain’s resting state dynamics
The functioning of brain networks can be broadly categorized as an interplay of two main contributors, namely the neurolog...
A next generation neural mass model with neuromodulation
A next generation neural mass model with neuromodulation
The study of brain activity and its function requires the development of computational models alongside experimental inves...
Temperature robustness of the timing network within songbird premotor nucleus HVC
Temperature robustness of the timing network within songbird premotor nucleus HVC
Many neuronal processes are temperature-sensitive. Cooling by 10 $$^\circ$$ C typically slows ion channel dynamics by more...
Spaces and sequences in the hippocampus: a homological perspective
Spaces and sequences in the hippocampus: a homological perspective
Topological techniques have become a popular tool for studying information flows in neural networks. In particular, simpli...
The refresh rate of overhead projectors may affect the perception of fast moving objects: a modelling study
The refresh rate of overhead projectors may affect the perception of fast moving objects: a modelling study
Using simulation and a simple mathematical argument we argue that the refresh rate of overhead projectors, used in experim...
Self-supervised learning of scale-invariant neural representations of space and time
Self-supervised learning of scale-invariant neural representations of space and time
Hippocampal representations of space and time seem to share a common coding scheme characterized by neurons with bell-shap...
Modeling impairment of ionic regulation with extended Adaptive Exponential integrate-and-fire models
Modeling impairment of ionic regulation with extended Adaptive Exponential integrate-and-fire models
To model the dynamics of neuron membrane excitability many models can be considered, from the most biophysically detailed ...
Network effects of traumatic brain injury: from infra slow to high frequency oscillations and seizures
Network effects of traumatic brain injury: from infra slow to high frequency oscillations and seizures
Traumatic brain injury (TBI) can have a multitude of effects on neural functioning. In extreme cases, TBI can lead to seiz...
Neural waves and computation in a neural net model III: preplay, working memory and bursts
Neural waves and computation in a neural net model III: preplay, working memory and bursts
Evidence in favor of an earlier conjecture, namely that the low frequency autonomic regime of neural waves acts as a gover...
A generalized mathematical framework for the calcium control hypothesis describes weight-dependent synaptic plasticity
A generalized mathematical framework for the calcium control hypothesis describes weight-dependent synaptic plasticity
The brain modifies synaptic strengths to store new information via long-term potentiation (LTP) and long-term depression (...
Dopamine modulation of basolateral amygdala activity and function
Dopamine modulation of basolateral amygdala activity and function
The basolateral amygdala (BLA) is central to emotional processing, fear learning, and memory. Dopamine (DA) significantly ...
Inferring collective synchrony observing spiking of one or several neurons
Inferring collective synchrony observing spiking of one or several neurons
We tackle a quantification of synchrony in a large ensemble of interacting neurons from the observation of spiking events....
Localist neural plasticity identified by mutual information
Localist neural plasticity identified by mutual information
We present a model of pattern memory and retrieval with novel, technically useful and biologically realistic properties. S...
Modeling traveling calcium waves in cellular structures
Modeling traveling calcium waves in cellular structures
We report a parametric simulation study of traveling calcium waves in two classes of cellular structures: dendrite-like pr...
Cortical dynamics of neural-connectivity fields
Cortical dynamics of neural-connectivity fields
Macroscopic studies of cortical tissue reveal a prevalence of oscillatory activity, that reflect a fine tuning of neural i...
Biologically realistic mean field model of spiking neural networks with fast and slow inhibitory synapses
Biologically realistic mean field model of spiking neural networks with fast and slow inhibitory synapses
We present a mean field model for a spiking neural network of excitatory and inhibitory neurons with fast GABA $$_}}$$ and...