Pages that link to "Item:Q3583488"
From MaRDI portal
The following pages link to A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes (Q3583488):
Displaying 10 items.
- A common goodness-of-fit framework for neural population models using marked point process time-rescaling (Q1628363) (← links)
- Fast maximum likelihood estimation using continuous-time neural point process models (Q1704886) (← links)
- Strictly positive-definite spike train kernels for point-process divergences (Q2919438) (← links)
- Assessing Goodness-of-Fit in Marked-Point Process Models of Neural Population Coding via Time and Rate Rescaling (Q3386424) (← links)
- Bayesian Nonparametric Modeling for Comparison of Single-Neuron Firing Intensities (Q3564584) (← links)
- Nonconvergence in Logistic and Poisson Models for Neural Spiking (Q3564829) (← links)
- Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression (Q3591513) (← links)
- Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework (Q5004352) (← links)
- A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields (Q5380546) (← links)
- Nonparametric likelihood based estimation of linear filters for point processes (Q5963732) (← links)
