The following pages link to (Q3830842):
Displaying 50 items.
- Shifting spike times or adding and deleting spikes -- how different types of noise shape signal transmission in neural populations (Q271671) (← links)
- Path integral methods for stochastic differential equations (Q282649) (← links)
- Modeling neural activity with cumulative damage distributions (Q310175) (← links)
- Successive spike times predicted by a stochastic neuronal model with a variable input signal (Q335076) (← links)
- Hunting French ducks in a noisy environment (Q413443) (← links)
- Weak convergence of marked point processes generated by crossings of multivariate jump processes. applications to neural network modeling (Q528850) (← links)
- The first passage time problem for Gauss-diffusion processes: algorithmic approaches and applications to LIF neuronal model (Q631481) (← links)
- The emergence of the deterministic Hodgkin-Huxley equations as a limit from the underlying stochastic ion-channel mechanism (Q939070) (← links)
- Upwind and midpoint upwind difference methods for time-dependent differential difference equations with layer behavior (Q942363) (← links)
- Phase-locking in weakly heterogeneous neuronal networks (Q992199) (← links)
- Bistable neuromodules (Q999576) (← links)
- Stochastic processes in neurophysiology: Transformation from point to continuous processes (Q1057789) (← links)
- Spike propagation during the refractory period in the stochastic Hodgkin- Huxley model (Q1193739) (← links)
- Fundamental derivations form decision field theory (Q1196912) (← links)
- Stochastic methods for neural systems (Q1200640) (← links)
- Stochastic resonance in neuron models (Q1279254) (← links)
- Synchronization of firing times in a stochastic neural network model with excitatory connections (Q1318340) (← links)
- Bistability and the dynamics of periodically forced sensory neurons (Q1323572) (← links)
- Greater signal regularity may indicate increased system isolation (Q1336349) (← links)
- Interspike interval attractors from chaotically driven neuron models (Q1356012) (← links)
- First passage time to detection in stochastic population dynamical models for HIV-1 (Q1585510) (← links)
- Asymptotic exponential stability for diffusion processes driven by stochastic differential equations in duals of nuclear spaces (Q1596542) (← links)
- Are the input parameters of white noise driven integrate and fire neurons uniquely determined by rate and CV? (Q1617507) (← links)
- First passage time of a Markov chain that converges to Bessel process (Q1667565) (← links)
- New statistical models of nonergodic cognitive systems and their pathologies (Q1752334) (← links)
- Cumulative damage and times of occurrence for a multicomponent system: a discrete time approach (Q1795596) (← links)
- Stochastic differential equation models for spatially distributed neurons and propagation of chaos for interacting systems (Q1802897) (← links)
- Clustering behavior in a three-layer system mimicking olivo-cerebellar dynamics (Q1877565) (← links)
- On the parameter estimation for diffusion models of single neuron's activities. I: Application to spontaneous activities of mesencephalic reticular formation cells in sleep and waking states (Q1899175) (← links)
- Some mathematical and computer modelling of neural networks (Q1900572) (← links)
- Common stochastic inputs induce neuronal transient synchronization with partial reset (Q1982420) (← links)
- High order WENO finite volume approximation for population density neuron model (Q2009535) (← links)
- First-passage problem for stochastic differential equations with combined parametric Gaussian and Lévy white noises via path integral method (Q2122262) (← links)
- The voltage and spiking responses of subthreshold resonant neurons to structured and fluctuating inputs: persistence and loss of resonance and variability (Q2145417) (← links)
- Dynamics of a modified Hindmarsh-Rose neural model with random perturbations: moment analysis and firing activities (Q2146806) (← links)
- Ergodicity and spike rate for stochastic FitzHugh-Nagumo neural model with periodic forcing (Q2213642) (← links)
- Performance bounds for mismatched decision schemes with Poisson process observations (Q2258159) (← links)
- Nonlinear noise excitation of intermittent stochastic PDEs and the topology of LCA groups (Q2354155) (← links)
- A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties (Q2373054) (← links)
- Fitted numerical methods for singularly perturbed one-dimensional parabolic partial differential equations with small shifts arising in the modelling of neuronal variability (Q2415422) (← links)
- Estimating discontinuous periodic signals in a time inhomogeneous diffusion (Q2431003) (← links)
- A stochastic model and a functional central limit theorem for information processing in large systems of neurons (Q2500112) (← links)
- Mean field analysis of large-scale interacting populations of stochastic conductance-based spiking neurons using the Klimontovich method (Q2628660) (← links)
- On a set of data for the membrane potential in a neuron (Q2643360) (← links)
- Neuron firing in driven nonlinear integrate-and-fire models (Q2643363) (← links)
- A general view on double limits in differential equations (Q2670210) (← links)
- Neuronal Spike Train Analysis Using Gaussian Process Models (Q2800200) (← links)
- Probability of Repeating Patterns in Simultaneous Neural Data (Q3057203) (← links)
- Comparison of Markov Chain and Stochastic Differential Equation Population Models Under Higher-Order Moment Closure Approximations (Q3068095) (← links)
- Stochastic Properties of Coincidence-Detector Neural Cells (Q3182482) (← links)
