Pages that link to "Item:Q395708"
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The following pages link to Estimating nonstationary inputs from a single spike train based on a neuron model with adaptation (Q395708):
Displaying 12 items.
- Successive spike times predicted by a stochastic neuronal model with a variable input signal (Q335076) (← links)
- Dynamical estimation of neuron and network properties. I: Variational methods (Q714142) (← links)
- Closed-form solutions for the first-passage-time problem and neuronal modeling (Q891912) (← links)
- Colored noise and a stochastic fractional model for correlated inputs and adaptation in neuronal firing (Q1799435) (← links)
- Spike train analysis for single trial data (Q1851739) (← links)
- Fractionally integrated Gauss-Markov processes and applications (Q2038125) (← links)
- Integrated stationary Ornstein-Uhlenbeck process, and double integral processes (Q2150122) (← links)
- On a stochastic neuronal model integrating correlated inputs (Q2160831) (← links)
- Fractional Ornstein-Uhlenbeck process with stochastic forcing, and its applications (Q2241497) (← links)
- Goodness-of-fit tests and nonparametric adaptive estimation for spike train analysis (Q2251601) (← links)
- Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains (Q2887011) (← links)
- NONLINEAR FORECASTING OF SPIKE TRAINS FROM SENSORY NEURONS (Q4342238) (← links)
