The following pages link to A spike-train probability model (Q2746335):
Displaying 19 items.
- A nonparametric frequency domain EM algorithm for time series classification with applications to spike sorting and macro‐economics (Q4969813) (← links)
- Enhanced Signal Detection by Adaptive Decorrelation of Interspike Intervals (Q5004297) (← links)
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- (Q5134618) (← links)
- (Q5134797) (← links)
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- Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models (Q5157108) (← links)
- Spiking Neurons and the First Passage Problem (Q5198603) (← links)
- Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach (Q5214369) (← links)
- Direct Estimation of Inhomogeneous Markov Interval Models of Spike Trains (Q5323758) (← links)
- Information Transmission Using Non-Poisson Regular Firing (Q5327193) (← links)
- On the Spike Train Variability Characterized by Variance-to-Mean Power Relationship (Q5380290) (← links)
- An Empirical Model for Reliable Spiking Activity (Q5380296) (← links)
- A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields (Q5380546) (← links)
- Valuations for Spike Train Prediction (Q5453532) (← links)
- Spike Train Decoding Without Spike Sorting (Q5460196) (← links)
- A Comparison of Descriptive Models of a Single Spike Train by Information-Geometric Measure (Q5469497) (← links)
- Estimating a hidden Bernoulli parameter by sequential Bayesian analysis (Q5958654) (← links)
- Nonparametric Bayesian Modeling and Estimation for Renewal Processes (Q6631870) (← links)
