The following pages link to Spiking Neuron Models (Q4781164):
Displaying 50 items.
- A discrete time neural network model with spiking neurons. II: Dynamics with noise (Q658997) (← links)
- Self-synchronization of the integrate-and-fire pacemaker model with continuous couplings (Q665123) (← links)
- Trained stochastic model of biological neural network used in image processing task (Q669777) (← links)
- Fundamental limits of forced asynchronous spiking with integrate and fire dynamics (Q723682) (← links)
- The dynamics of neural fields on bounded domains: an interface approach for Dirichlet boundary conditions (Q723684) (← links)
- Time sampling and reconstruction in weighted reproducing kernel subspaces (Q739535) (← links)
- A combined offline-online algorithm for Hodgkin-Huxley neural networks (Q777030) (← links)
- Adaptive sampling of time-space signals in a reproducing kernel subspace of mixed Lebesgue space (Q778753) (← links)
- Stochastic stability of a system of perfect integrate-and-fire inhibitory neurons (Q779161) (← links)
- Crisis of interspike intervals in Hodgkin-Huxley model (Q813473) (← links)
- Networks beyond pairwise interactions: structure and dynamics (Q823239) (← links)
- Dynamics of neural networks with elapsed time model and learning processes (Q829619) (← links)
- How Gibbs distributions may naturally arise from synaptic adaptation mechanisms. A model-based argumentation (Q841142) (← links)
- The parameters of the stochastic leaky integrate-and-fire neuronal model (Q849517) (← links)
- Normal forms for spiking neural P systems (Q872205) (← links)
- Decoding spike train ensembles: tracking a moving stimulus (Q885487) (← links)
- Synaptic dynamics: linear model and adaptation algorithm (Q889273) (← links)
- Memories as bifurcations: realization by collective dynamics of spiking neurons under stochastic inputs (Q889357) (← links)
- Neural coordination can be enhanced by occasional interruption of normal firing patterns: a self-optimizing spiking neural network model (Q889361) (← links)
- The Poisson shot noise model of visual short-term memory and choice response time: normalized coding by neural population size (Q894097) (← links)
- Hydrodynamic limit for spatially structured interacting neurons (Q906931) (← links)
- On spiking neural P systems and partially blind counter machines (Q926511) (← links)
- Phenomenological models of synaptic plasticity based on spike timing (Q937760) (← links)
- A discrete time neural network model with spiking neurons (Q938137) (← links)
- A Haar-like construction for the Ornstein Uhlenbeck process (Q944969) (← links)
- A cellular automaton model for collective neural dynamics (Q969941) (← links)
- From Poisson shot noise to the integrated Ornstein-Uhlenbeck process: neurally principled models of information accumulation in decision-making and response time (Q972198) (← links)
- Lag synchronization of multiple identical Hindmarsh-Rose neuron models coupled in a ring structure (Q979400) (← links)
- Spike-train spectra and network response functions for nonlinear integrate-and-fire neurons (Q999380) (← links)
- Modeling convergent ON and OFF pathways in the early visual system (Q999383) (← links)
- Extracting nonlinear integrate-and-fire models from experimental data using dynamic \(I-V\) curves (Q999392) (← links)
- The quantitative single-neuron modeling competition (Q999399) (← links)
- Firing patterns in the adaptive exponential integrate-and-fire model (Q999407) (← links)
- Dynamics and bifurcations of the adaptive exponential integrate-and-fire model (Q999408) (← links)
- Mathematical model of non-basal testosterone regulation in the male by pulse modulated feedback (Q1000792) (← links)
- Asynchronous spiking neural P systems (Q1019715) (← links)
- Integrative connectionist learning systems inspired by nature: Current models, future trends and challenges (Q1024033) (← links)
- On languages generated by asynchronous spiking neural P systems (Q1029355) (← links)
- Second order spiking perceptrons (Q1034777) (← links)
- Uniform solutions to SAT and 3-SAT by spiking neural P systems with pre-computed resources (Q1035718) (← links)
- Characterizations of some classes of spiking neural P systems (Q1035724) (← links)
- Quantum mechanics, interference, and the brain (Q1044188) (← links)
- Spiking neural nets with symbolic internal state (Q1044684) (← links)
- A gradient descent rule for spiking neurons emitting multiple spikes (Q1044691) (← links)
- Weak and strong connectivity regimes for a general time elapsed neuron network model (Q1615379) (← links)
- Evaluation of the computational efficacy in GPU-accelerated simulations of spiking neurons (Q1616571) (← links)
- Hypoelliptic stochastic Fitzhugh-Nagumo neuronal model: mixing, up-crossing and estimation of the spike rate (Q1617125) (← links)
- Are the input parameters of white noise driven integrate and fire neurons uniquely determined by rate and CV? (Q1617507) (← links)
- Hebbian errors in learning: an analysis using the Oja model (Q1624223) (← links)
- Learning neural connectivity from firing activity: efficient algorithms with provable guarantees on topology (Q1628244) (← links)
