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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...
32nd Annual Computational Neuroscience Meeting: CNS*2023
32nd Annual Computational Neuroscience Meeting: CNS*2023
1School of Computing, Faculty of Engineering and Physical Sciences, University of Lee...
A cortical field theory – dynamics and symmetries
A cortical field theory – dynamics and symmetries
We characterise cortical dynamics using partial differential equations (PDEs), analysing various connectivity patterns wit...
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-...
A computational model of auditory chirp-velocity sensitivity and amplitude-modulation tuning in inferior colliculus neurons
A computational model of auditory chirp-velocity sensitivity and amplitude-modulation tuning in inferior colliculus neurons
We demonstrate a model of chirp-velocity sensitivity in the inferior colliculus (IC) that retains the tuning to amplitude ...
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...
A computational model elucidating mechanisms and variability in theta burst stimulation responses
A computational model elucidating mechanisms and variability in theta burst stimulation responses
Theta burst stimulation (TBS) is a form of repetitive transcranial magnetic stimulation (rTMS) with unknown underlying mec...
Neural waves and computation in a neural net model II: Data-like structures and the dynamics of episodic memory
Neural waves and computation in a neural net model II: Data-like structures and the dynamics of episodic memory
The computational resources of a neuromorphic network model introduced earlier were investigated in the first paper of thi...
Incorporating slow NMDA-type receptors with nonlinear voltage-dependent magnesium block in a next generation neural mass model: derivation and dynamics
Incorporating slow NMDA-type receptors with nonlinear voltage-dependent magnesium block in a next generation neural mass model: derivation and dynamics
We derive a next generation neural mass model of a population of quadratic-integrate-and-fire neurons, with slow adaptatio...
Antiferromagnetic artificial neuron modeling of the withdrawal reflex
Antiferromagnetic artificial neuron modeling of the withdrawal reflex
Replicating neural responses observed in biological systems using artificial neural networks holds significant promise in ...
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...
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...
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...
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...
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 ...
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