Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.
From MaRDI portal
Publication:1599186
DOI10.1023/A:1008925309027zbMath1036.92008OpenAlexW1582051163WikidataQ47899491 ScholiaQ47899491MaRDI QIDQ1599186
Publication date: 2000
Published in: Journal of Computational Neuroscience (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1023/a:1008925309027
Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20) PDEs in connection with biology, chemistry and other natural sciences (35Q92)
Related Items (only showing first 100 items - show all)
Time evolution of a mean-field generalized contact process ⋮ Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation ⋮ Rigorous Justification of the Fokker--Planck Equations of Neural Networks Based on an Iteration Perspective ⋮ A multiple time renewal equation for neural assemblies with elapsed time model ⋮ Microscopic approach of a time elapsed neural model ⋮ Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring ⋮ On Embedding Synfire Chains in a Balanced Network ⋮ Ergodicity of Spike Trains: When Does Trial Averaging Make Sense? ⋮ Synchronization in Networks of Excitatory and Inhibitory Neurons with Sparse, Random Connectivity ⋮ Self-Organizing Dual Coding Based on Spike-Time-Dependent Plasticity ⋮ A Model of the Differential Representation of Signal Novelty in the Local Field Potentials and Spiking Activity of the Ventrolateral Prefrontal Cortex ⋮ A Structure Preserving Numerical Scheme for Fokker--Planck Equations of Structured Neural Networks with Learning Rules ⋮ A novel density-based neural mass model for simulating neuronal network dynamics with conductance-based synapses and membrane current adaptation ⋮ Intrinsic excitability state of local neuronal population modulates signal propagation in feed-forward neural networks ⋮ Bifurcations of Negative Responses to Positive Feedback Current Mediated by Memristor in a Neuron Model with Bursting Patterns ⋮ Death and rebirth of neural activity in sparse inhibitory networks ⋮ The steady state and response to a periodic stimulation of the firing rate for a theta neuron with correlated noise ⋮ Scale free avalanches in excitatory-inhibitory populations of spiking neurons with conductance based synaptic currents ⋮ Oscillations in a fully connected network of leaky integrate-and-fire neurons with a Poisson spiking mechanism ⋮ Stochastic Synchrony of Chaos in a Pulse-Coupled Neural Network with Both Chemical and Electrical Synapses Among Inhibitory Neurons ⋮ Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics ⋮ Correlations and Population Dynamics in Cortical Networks ⋮ Asymptotic behaviour of neuron population models structured by elapsed-time ⋮ Stability of discrete memory states to stochastic fluctuations in neuronal systems ⋮ A Principled Dimension-Reduction Method for the Population Density Approach to Modeling Networks of Neurons with Synaptic Dynamics ⋮ On the Continuous Differentiability of Inter-Spike Intervals of Synaptically Connected Cortical Spiking Neurons in a Neuronal Network ⋮ Neural Network Spectral Robustness under Perturbations of the Underlying Graph ⋮ Exponentially Long Orbits in Hopfield Neural Networks ⋮ Oscillatory Rhythms in a Model Network of Excitatory and Inhibitory Neurons ⋮ The High-Conductance State of Cortical Networks ⋮ The mean-field equation of a leaky integrate-and-fire neural network: measure solutions and steady states ⋮ Guaranteeing global synchronization in networks with stochastic interactions ⋮ Gamma Oscillations in a Nonlinear Regime: A Minimal Model Approach Using Heterogeneous Integrate-and-Fire Networks ⋮ Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing ⋮ Analysis and numerical solver for excitatory-inhibitory networks with delay and refractory periods ⋮ Coding of Temporally Varying Signals in Networks of Spiking Neurons with Global Delayed Feedback ⋮ Reconstruction of sparse connectivity in neural networks from spike train covariances ⋮ Towards a self-consistent description of irregular and asynchronous cortical activity ⋮ Statistical mechanics of complex neural systems and high dimensional data ⋮ Non-normality, reactivity, and intrinsic stochasticity in neural dynamics: a non-equilibrium potential approach ⋮ Cross frequency coupling in next generation inhibitory neural mass models ⋮ Controlling Complexity of Cerebral Cortex Simulations—II: Streamlined Microcircuits ⋮ Development of structural correlations and synchronization from adaptive rewiring in networks of Kuramoto oscillators ⋮ Quantifying Strength of Chaos in the Population Firing Rate of Neurons ⋮ Optimal Readout of Correlated Neural Activity in a Decision-Making Circuit ⋮ A Basic Phase Diagram of Neuronal Dynamics ⋮ Roles of Inhibitory Neurons in Rewiring-Induced Synchronization in Pulse-Coupled Neural Networks ⋮ An Understanding of the Physical Solutions and the Blow-Up Phenomenon for Nonlinear Noisy Leaky Integrate and Fire Neuronal Models ⋮ Classical Solutions for a Nonlinear Fokker-Planck Equation Arising in Computational Neuroscience ⋮ Exact Simulation of Integrate-and-Fire Models with Synaptic Conductances ⋮ Effects of Noisy Drive on Rhythms in Networks of Excitatory and Inhibitory Neurons ⋮ Memory Capacity of Balanced Networks ⋮ Asynchronous States and the Emergence of Synchrony in Large Networks of Interacting Excitatory and Inhibitory Neurons ⋮ Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics ⋮ Dynamical Working Memory and Timed Responses: The Role of Reverberating Loops in the Olivo-Cerebellar System ⋮ Spike-Timing-Dependent Plasticity in Balanced Random Networks ⋮ Synchronized Firings in the Networks of Class 1 Excitable Neurons with Excitatory and Inhibitory Connections and Their Dependences on the Forms of Interactions ⋮ Mean-Driven and Fluctuation-Driven Persistent Activity in Recurrent Networks ⋮ Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations ⋮ Systematic Fluctuation Expansion for Neural Network Activity Equations ⋮ Critical Analysis of Dimension Reduction by a Moment Closure Method in a Population Density Approach to Neural Network Modeling ⋮ Variable Timescales of Repeated Spike Patterns in Synfire Chain with Mexican-Hat Connectivity ⋮ Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories ⋮ Stochastic Dynamics of a Finite-Size Spiking Neural Network ⋮ Chaos in homeostatically regulated neural systems ⋮ A Master Equation Formalism for Macroscopic Modeling of Asynchronous Irregular Activity States ⋮ Simplicity and Efficiency of Integrate-and-Fire Neuron Models ⋮ Spike Train Statistics and Dynamics with Synaptic Input from any Renewal Process: A Population Density Approach ⋮ Delays and Oscillations in Networks of Spiking Neurons: A Two-Timescale Analysis ⋮ Replica-Mean-Field Limits for Intensity-Based Neural Networks ⋮ Simultaneous Rate-Synchrony Codes in Populations of Spiking Neurons ⋮ Spontaneous Dynamics of Asymmetric Random Recurrent Spiking Neural Networks ⋮ Finite-size and correlation-induced effects in Mean-field Dynamics ⋮ Sensitivity to Stimulus Irregularity Is Inherent in Neural Networks ⋮ Response Variability in Balanced Cortical Networks ⋮ On the interpretation of Dirac δ pulses in differential equations for phase oscillators ⋮ Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron ⋮ The Pair-Replica-Mean-Field Limit for Intensity-based Neural Networks ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Analytical Integrate-and-Fire Neuron Models with Conductance-Based Dynamics for Event-Driven Simulation Strategies ⋮ Global-in-time solutions and qualitative properties for the NNLIF neuron model with synaptic delay ⋮ Stochastic Neural Field Theory ⋮ A theoretical connection between the Noisy Leaky integrate-and-fire and the escape rate models: The non-autonomous case ⋮ Training Spiking Neural Networks in the Strong Coupling Regime ⋮ Capacity of the covariance perceptron ⋮ First passage leapovers of Lévy flights and the proper formulation of absorbing boundary conditions ⋮ Weak and strong connectivity regimes for a general time elapsed neuron network model ⋮ Are the input parameters of white noise driven integrate and fire neurons uniquely determined by rate and CV? ⋮ Thermodynamic order parameters and statistical-mechanical measures for characterization of the burst and spike synchronizations of bursting neurons ⋮ Decision-time statistics of nonlinear diffusion models: characterizing long sequences of subsequent trials ⋮ Recurrence-mediated suprathreshold stochastic resonance ⋮ Interacting Hawkes processes with multiplicative inhibition ⋮ Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons ⋮ How does transient signaling input affect the spike timing of postsynaptic neuron near the threshold regime: an analytical study
This page was built for publication: Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.
