Pages that link to "Item:Q3510939"
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The following pages link to Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons (Q3510939):
Displaying 13 items.
- The effect of interspike interval statistics on the information gain under the rate coding hypothesis (Q395709) (← links)
- Responses of leaky integrate-and-fire neurons to a plurality of stimuli in their receptive fields (Q502301) (← links)
- Bayesian decoding of neural spike trains (Q904063) (← links)
- Vesicular mechanisms and estimates of firing probability in a network of spiking neurons (Q1811841) (← links)
- The firing statistics of Poisson neuron models driven by slow stimuli (Q2376440) (← links)
- A spike-train probability model (Q2746335) (← links)
- Applying the Multivariate Time-Rescaling Theorem to Neural Population Models (Q3016184) (← links)
- Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal (Q3536230) (← links)
- Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models (Q5157108) (← links)
- A simple model for low variability in neural spike trains (Q5157266) (← links)
- Information Transmission Using Non-Poisson Regular Firing (Q5327193) (← links)
- On the Spike Train Variability Characterized by Variance-to-Mean Power Relationship (Q5380290) (← links)
- Nonparametric Bayesian Modeling and Estimation for Renewal Processes (Q6631870) (← links)
