The following pages link to Spiking Neuron Models (Q4781164):
Displaying 50 items.
- Spiking neural P systems with rules on synapses and anti-spikes (Q2413311) (← links)
- Computation power of asynchronous spiking neural P systems with polarizations (Q2422045) (← links)
- Investigation of generalization ability of a trained stochastic kinetic model of neuron (Q2422895) (← links)
- Frequency-selective induction of excitation waves near sub- and supercritical Hopf bifurcation (Q2425764) (← links)
- Joint distribution of first exit times of a two dimensional Wiener process with jumps with application to a pair of coupled neurons (Q2435998) (← links)
- Localized stable manifolds for whiskered tori in coupled map lattices with decaying interaction (Q2442691) (← links)
- Dynamics and spike trains statistics in conductance-based integrate-and-fire neural networks with chemical and electric synapses (Q2451077) (← links)
- Parallel computation in spiking neural nets (Q2455594) (← links)
- Kinetic models of spike-timing dependent plasticity and their functional consequences in detecting correlations (Q2460445) (← links)
- Neuronal identification of acoustic signal periodicity (Q2460459) (← links)
- Tuning bat LSO neurons to interaural intensity differences through spike-timing dependent plasticity (Q2460467) (← links)
- Gaussian processes and neuronal modeling (Q2461293) (← links)
- Self-organization in the olfactory system: one shot odor recognition in insects (Q2471799) (← links)
- On the application of ``equation-free modelling'' to neural systems (Q2500130) (← links)
- Factors affecting phase synchronization in integrate-and-fire oscillators (Q2500149) (← links)
- Predicting spike timing of neocortical pyramidal neurons by simple threshold models (Q2500241) (← links)
- The most likely voltage path and large deviations approximations for integrate-and-fire neurons (Q2500243) (← links)
- Investigating the computational power of spiking neurons with non-standard behaviors (Q2510808) (← links)
- A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks (Q2510814) (← links)
- Modelling in vivo action potential propagation along a giant axon (Q2512931) (← links)
- Stochastic resonance in noisy spiking retinal and sensory neuron models (Q2568015) (← links)
- Thalamocortical transformations of periodic stimuli: the effect of stimulus velocity and synaptic short-term depression in the vibrissa-barrel system (Q2631508) (← links)
- The nature of the memory trace and its neurocomputational implications (Q2631517) (← links)
- Stochastic resonance in Hodgkin-Huxley neuron induced by unreliable synaptic transmission (Q2632048) (← links)
- Beyond blow-up in excitatory integrate and fire neuronal networks: refractory period and spontaneous activity (Q2632796) (← links)
- Optimum signal in a diffusion leaky integrate-and-fire neuronal model (Q2643359) (← links)
- Damped oscillations of the probability of random events followed by absolute refractory period: exact analytical results (Q2675505) (← links)
- Scaling limit of a generalized contact process (Q2679553) (← links)
- Stimulation location encoding on the spike train of neuron models with passive dendrite (Q2692085) (← links)
- Neuronal Spike Train Analysis Using Gaussian Process Models (Q2800200) (← links)
- Stability and Hopf bifurcation analysis in Hindmarsh-Rose neuron model with multiple time delays (Q2834950) (← links)
- Exact event-driven implementation for recurrent networks of stochastic perfect integrate-and-fire neurons (Q2840886) (← links)
- Noise-induced up/down dynamics in scale-free neuronal networks (Q2843655) (← links)
- Image Processing with Spiking Neuron Networks (Q2866128) (← links)
- Dynamics, stability, and statistics on lattices and networks (Q2879377) (← links)
- Mathematical equivalence of two common forms of firing rate models of neural networks (Q2885085) (← links)
- Spiking neural P systems with astrocytes (Q2885114) (← links)
- Improved similarity measures for small sets of spike trains (Q2887004) (← links)
- Sequentiality Induced by Spike Number in SNP Systems: Small Universal Machines (Q2890300) (← links)
- Estimation of the input parameters in the Feller neuronal model (Q2903689) (← links)
- Cellular memristive dynamical systems (CMDS) (Q2920764) (← links)
- The combined effect of dynamic chemical and electrical synapses in time-delay-induced phase-transition to synchrony in coupled bursting neurons (Q2920776) (← links)
- Phase Selective Oscillations in Two Noise Driven Synaptically Coupled Spiking Neurons (Q2944469) (← links)
- How synaptic weights determine stability of synchrony in networks of pulse-coupled excitatory and inhibitory oscillators (Q2944608) (← links)
- Asynchronous networks and event driven dynamics (Q2965346) (← links)
- Time-Free Spiking Neural P Systems (Q3015456) (← links)
- Insights from a Simple Expression for Linear Fisher Information in a Recurrently Connected Population of Spiking Neurons (Q3016188) (← links)
- CMOL implementation of spiking neurons and spike-timing dependent plasticity (Q3018531) (← links)
- On a Stochastic Leaky Integrate-and-Fire Neuronal Model (Q3057209) (← links)
- Spiking Neural P Systems with Weights (Q3057214) (← links)
