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Computational model of layer 2/3 in mouse primary visual cortex explains observed visuomotor mismatch response
Computational model of layer 2/3 in mouse primary visual cortex explains observed visuomotor mismatch response
Activity in layer 2/3 of the mouse primary visual cortex has been shown to depend both on visual input and the mouse’...
Formation and retrieval of cell assemblies in a biologically realistic spiking neural network model of area CA3 in the mouse hippocampus
Formation and retrieval of cell assemblies in a biologically realistic spiking neural network model of area CA3 in the mouse hippocampus
The hippocampal formation is critical for episodic memory, with area Cornu Ammonis 3 (CA3) a necessary substrate for auto-...
Firing rate models for gamma oscillations in I-I and E-I networks
Firing rate models for gamma oscillations in I-I and E-I networks
Firing rate models for describing the mean-field activities of neuronal ensembles can be used effectively to study network...
Mean-field analysis of synaptic alterations underlying deficient cortical gamma oscillations in schizophrenia
Mean-field analysis of synaptic alterations underlying deficient cortical gamma oscillations in schizophrenia
Deficient gamma oscillations in the prefrontal cortex (PFC) of individuals with schizophrenia (SZ) are proposed to arise f...
Effect of burst spikes on linear and nonlinear signal transmission in spiking neurons
Effect of burst spikes on linear and nonlinear signal transmission in spiking neurons
We study the impact of bursts on spike statistics and neural signal transmission. We propose a stochastic burst algorithm ...
How plasticity shapes the formation of neuronal assemblies driven by oscillatory and stochastic inputs
How plasticity shapes the formation of neuronal assemblies driven by oscillatory and stochastic inputs
Synaptic connections in neuronal circuits are modulated by pre- and post-synaptic spiking activity. Previous theoretical w...
Effects of dendritic Ca2+ spike on the modulation of spike timing with transcranial direct current stimulation in cortical pyramidal neurons
Effects of dendritic Ca2+ spike on the modulation of spike timing with transcranial direct current stimulation in cortical pyramidal neurons
Transcranial direct current stimulation (tDCS) generates a weak electric field (EF) within the brain, which induces opposi...
Modelling the effect of allopregnanolone on the resolution of spike-wave discharges
Modelling the effect of allopregnanolone on the resolution of spike-wave discharges
Childhood absence epilepsy (CAE) is a paediatric generalized epilepsy disorder with a confounding feature of resolving in ...
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 ...
Orientation selectivity properties for the affine Gaussian derivative and the affine Gabor models for visual receptive fields
Orientation selectivity properties for the affine Gaussian derivative and the affine Gabor models for visual receptive fields
This paper presents an in-depth theoretical analysis of the orientation selectivity properties of simple cells and complex...
Temporal pavlovian conditioning of a model spiking neural network for discrimination sequences of short time intervals
Temporal pavlovian conditioning of a model spiking neural network for discrimination sequences of short time intervals
The brain’s ability to learn and distinguish rapid sequences of events is essential for timing-dependent tasks, such...
Neural waves and computation in a neural net model I: Convolutional hierarchies
Neural waves and computation in a neural net model I: Convolutional hierarchies
The computational resources of a neuromorphic network model introduced earlier are investigated in the context of such hie...
Ion-concentration gradients induced by synaptic input increase the voltage depolarization in dendritic spines
Ion-concentration gradients induced by synaptic input increase the voltage depolarization in dendritic spines
The vast majority of excitatory synaptic connections occur on dendritic spines. Due to their extremely small volume and sp...
A biophysically comprehensive model of urothelial afferent neurons: implications for sensory signalling in urinary bladder
A biophysically comprehensive model of urothelial afferent neurons: implications for sensory signalling in urinary bladder
The urothelium is the innermost layer of the bladder wall; it plays a pivotal role in bladder sensory transduction by resp...
A voltage-based Event-Timing-Dependent Plasticity rule accounts for LTP subthreshold and suprathreshold for dendritic spikes in CA1 pyramidal neurons
A voltage-based Event-Timing-Dependent Plasticity rule accounts for LTP subthreshold and suprathreshold for dendritic spikes in CA1 pyramidal neurons
Long-term potentiation (LTP) is a synaptic mechanism involved in learning and memory. Experiments have shown that dendriti...
On the physiological and structural contributors to the overall balance of excitation and inhibition in local cortical networks
On the physiological and structural contributors to the overall balance of excitation and inhibition in local cortical networks
Overall balance of excitation and inhibition in cortical networks is central to their functionality and normal operation. ...
A fractional-order Wilson-Cowan formulation of cortical disinhibition
A fractional-order Wilson-Cowan formulation of cortical disinhibition
This work presents a fractional-order Wilson-Cowan model derivation under Caputo’s formalism, considering an order o...
Brain-guided manifold transferring to improve the performance of spiking neural networks in image classification
Brain-guided manifold transferring to improve the performance of spiking neural networks in image classification
Spiking neural networks (SNNs), as the third generation of neural networks, are based on biological models of human brain ...
Optimization of ictal aborting stimulation using the dynamotype taxonomy
Optimization of ictal aborting stimulation using the dynamotype taxonomy
Electrical stimulation is an increasingly popular method to terminate epileptic seizures, yet it is not always successful....
The method for assessment of local permutations in the glomerular patterns of the rat olfactory bulb by aligning interindividual odor maps
The method for assessment of local permutations in the glomerular patterns of the rat olfactory bulb by aligning interindividual odor maps
The comparison of odor functional maps in rodents demonstrates a high degree of inter-individual variability in glomerular...
A high-efficiency model indicating the role of inhibition in the resilience of neuronal networks to damage resulting from traumatic injury
A high-efficiency model indicating the role of inhibition in the resilience of neuronal networks to damage resulting from traumatic injury
Recent investigations of traumatic brain injuries have shown that these injuries can result in conformational changes at t...
Exploring weight initialization, diversity of solutions, and degradation in recurrent neural networks trained for temporal and decision-making tasks
Exploring weight initialization, diversity of solutions, and degradation in recurrent neural networks trained for temporal and decision-making tasks
Recurrent Neural Networks (RNNs) are frequently used to model aspects of brain function and structure. In this work, we tr...
Homogeneous inhibition is optimal for the phase precession of place cells in the CA1 field
Homogeneous inhibition is optimal for the phase precession of place cells in the CA1 field
Place cells are hippocampal neurons encoding the position of an animal in space. Studies of place cells are essential to u...
Correction to: Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models
Correction to: Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which...
Functional architecture of M1 cells encoding movement direction
Functional architecture of M1 cells encoding movement direction
In this paper we propose a neurogeometrical model of the behaviour of cells of the arm area of the primary motor cortex (M...
Transmission of delta band (0.5-4 Hz) oscillations from the globus pallidus to the substantia nigra pars reticulata in dopamine depletion
Transmission of delta band (0.5-4 Hz) oscillations from the globus pallidus to the substantia nigra pars reticulata in dopamine depletion
Parkinson’s disease (PD) and animal models of PD feature enhanced oscillations in several frequency bands in the bas...
Hierarchical processing underpins competition in tactile perceptual bistability
Hierarchical processing underpins competition in tactile perceptual bistability
Ambiguous sensory information can lead to spontaneous alternations between perceptual states, recently shown to extend to ...
Comparing performance between a deep neural network and monkeys with bilateral removals of visual area TE in categorizing feature-ambiguous stimuli
Comparing performance between a deep neural network and monkeys with bilateral removals of visual area TE in categorizing feature-ambiguous stimuli
In the canonical view of visual processing the neural representation of complex objects emerges as visual information is i...
Improving a cortical pyramidal neuron model’s classification performance on a real-world ecg dataset by extending inputs
Improving a cortical pyramidal neuron model’s classification performance on a real-world ecg dataset by extending inputs
Pyramidal neurons display a variety of active conductivities and complex morphologies that support nonlinear dendritic com...
A biophysical and statistical modeling paradigm for connecting neural physiology and function
A biophysical and statistical modeling paradigm for connecting neural physiology and function
To understand single neuron computation, it is necessary to know how specific physiological parameters affect neural spiki...
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