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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...
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....
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...
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...
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 ...
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...
Neural manifold analysis of brain circuit dynamics in health and disease
Neural manifold analysis of brain circuit dynamics in health and disease
Recent developments in experimental neuroscience make it possible to simultaneously record the activity of thousands of ne...
A general pattern of non-spiking neuron dynamics under the effect of potassium and calcium channel modifications
A general pattern of non-spiking neuron dynamics under the effect of potassium and calcium channel modifications
Electrical activity of excitable cells results from ion exchanges through cell membranes, so that genetic or epigenetic ch...
Scale free avalanches in excitatory-inhibitory populations of spiking neurons with conductance based synaptic currents
Scale free avalanches in excitatory-inhibitory populations of spiking neurons with conductance based synaptic currents
We investigate spontaneous critical dynamics of excitatory and inhibitory (EI) sparsely connected populations of spiking l...
The steady state and response to a periodic stimulation of the firing rate for a theta neuron with correlated noise
The steady state and response to a periodic stimulation of the firing rate for a theta neuron with correlated noise
The stochastic activity of neurons is caused by various sources of correlated fluctuations and can be described in terms o...