Pages that link to "Item:Q3015447"
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The following pages link to Hidden Markov Models for the Stimulus-Response Relationships of Multistate Neural Systems (Q3015447):
Displaying 14 items.
- Neural ensemble states in prefrontal cortex identified using a hidden Markov model with a modified EM algorithm (Q556700) (← links)
- Efficient methods for sampling spike trains in networks of coupled neurons (Q652350) (← links)
- A hidden Markov model for decoding and the analysis of replay in spike trains (Q1705043) (← links)
- Attractor-state itinerancy in neural circuits with synaptic depression (Q2202937) (← links)
- Detection of Hidden Structures in Nonstationary Spike Trains (Q3015451) (← links)
- Extracting State Transition Dynamics from Multiple Spike Trains Using Hidden Markov Models with Correlated Poisson Distribution (Q3164224) (← links)
- Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States (Q3497606) (← links)
- (Q4706462) (← links)
- Estimating a Separably Markov Random Field from Binary Observations (Q5157162) (← links)
- Hidden Markov Models Predict the Future Choice Better Than a PSTH-Based Method (Q5214376) (← links)
- An Empirical Model for Reliable Spiking Activity (Q5380296) (← links)
- Approximate hidden semi-Markov models for dynamic connectivity analysis in resting-state fMRI (Q6073452) (← links)
- Multistability in neural systems with random cross-connections (Q6549855) (← links)
- Hidden Markov Models for Low-Frequency Earthquake Recurrence (Q6585624) (← links)
