Pages that link to "Item:Q1799441"
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The following pages link to Methods for identification of spike patterns in massively parallel spike trains (Q1799441):
Displaying 10 items.
- Sparse functional identification of complex cells from spike times and the decoding of visual stimuli (Q723690) (← links)
- Uncovering the synchronization dynamics from correlated neuronal activity quantifies assembly formation (Q1337285) (← links)
- Fast combinatorial methods to estimate the probability of complex temporal patterns of spikes (Q1369142) (← links)
- A new method to infer higher-order spike correlations from membrane potentials (Q1704686) (← links)
- Spike detection methods for polytrodes and high density microelectrode arrays (Q1732690) (← links)
- Finding the Event Structure of Neuronal Spike Trains (Q3116925) (← links)
- Spatiotemporal Structure in Large Neuronal Networks Detected from Cross-Correlation (Q3417428) (← links)
- Neural Signal Manager: a collection of classical and innovative tools for multi‐channel spike train analysis (Q3552376) (← links)
- Spike Train SIMilarity Space (SSIMS): A Framework for Single Neuron and Ensemble Data Analysis (Q5380181) (← links)
- Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models (Q6631736) (← links)