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Analysis of hippocampal local field potentials by diffusion mapped delay coordinates
Analysis of hippocampal local field potentials by diffusion mapped delay coordinates
Spatial navigation through novel spaces and to known goal locations recruits multiple integrated structures in the mammali...
Representing stimulus motion with waves in adaptive neural fields
Representing stimulus motion with waves in adaptive neural fields
Traveling waves of neural activity emerge in cortical networks both spontaneously and in response to stimuli. The spatiote...
A mean-field model of gamma-frequency oscillations in networks of excitatory and inhibitory neurons
A mean-field model of gamma-frequency oscillations in networks of excitatory and inhibitory neurons
Gamma oscillations are widely seen in the cerebral cortex in different states of the wake-sleep cycle and are thought to p...
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...
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...
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...
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...
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...
Slow negative feedback enhances robustness of square-wave bursting
Slow negative feedback enhances robustness of square-wave bursting
Square-wave bursting is an activity pattern common to a variety of neuronal and endocrine cell models that has been linked...
Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets
Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets
The perineuronal nets (PNNs) are sugar coated protein structures that encapsulate certain neurons in the brain, such as pa...
Different parameter solutions of a conductance-based model that behave identically are not necessarily degenerate
Different parameter solutions of a conductance-based model that behave identically are not necessarily degenerate
Achard, P., & De Schutter, E. (2006). Complex parameter landscape for a complex neuron model. PLoS computational biolo...
Adaptive unscented Kalman filter for neuronal state and parameter estimation
Adaptive unscented Kalman filter for neuronal state and parameter estimation
Data assimilation techniques for state and parameter estimation are frequently applied in the context of computational neu...
Bayesian prediction of psychophysical detection responses from spike activity in the rat sensorimotor cortex
Bayesian prediction of psychophysical detection responses from spike activity in the rat sensorimotor cortex
Decoding of sensorimotor information is essential for brain-computer interfaces (BCIs) as well as in normal functioning or...
Introduction to the proceedings of the CNS*2022 meeting
Introduction to the proceedings of the CNS*2022 meeting
Welcome from the President As the president of the Organization for Co...
Deciphering functional roles of synaptic plasticity and intrinsic neural firing in developing mouse visual cortex layer IV microcircuit
Deciphering functional roles of synaptic plasticity and intrinsic neural firing in developing mouse visual cortex layer IV microcircuit
Between the onset of the critical period of mouse primary visual cortex and eye opening at postnatal day 14 is a complex p...
Variations of the spontaneous electrical activities of the neuronal networks imposed by the exposure of electromagnetic radiations using computational map-based modeling
Variations of the spontaneous electrical activities of the neuronal networks imposed by the exposure of electromagnetic radiations using computational map-based modeling
The interaction between neurons in a neuronal network develops spontaneous electrical activities. But the effects of elect...
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