Pages that link to "Item:Q2775814"
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The following pages link to Unitary events in multiple single-neuron spiking activity: II. Nonstationary data (Q2775814):
Displaying 31 items.
- A multiple filter test for the detection of rate changes in renewal processes with varying variance (Q146393) (← links)
- Multi-scale detection of rate changes in spike trains with weak dependencies (Q146398) (← links)
- Assessment of synchrony in multiple neural spike trains using loglinear point process models (Q641077) (← links)
- Bootstrap testing for cross-correlation under low firing activity (Q1704891) (← links)
- Methods for identification of spike patterns in massively parallel spike trains (Q1799441) (← links)
- Effect of cross-trial nonstationarity on joint-spike events (Q1889207) (← links)
- Detection and evaluation of bursts in terms of novelty and surprise (Q2045505) (← links)
- Cross-intensity functions and the estimate of spike-time jitter (Q2459158) (← links)
- NeuroXidence: reliable and efficient analysis of an excess or deficiency of joint-spike events (Q2631504) (← links)
- Unitary events in multiple single-neuron spiking activity: I. Detection and significance (Q2775813) (← links)
- Statistical significance of coincident spikes: Count-based versus rate-based statistics (Q2775815) (← links)
- Information-geometric measures for estimation of connection weight under correlated inputs (Q2840890) (← links)
- Optimal sequential detection of stimuli from multiunit recordings taken in densely populated brain regions (Q2919399) (← links)
- Finding the Event Structure of Neuronal Spike Trains (Q3116925) (← links)
- Modeling the Correlated Activity of Neural Populations: A Review (Q3379586) (← links)
- Spatiotemporal Structure in Large Neuronal Networks Detected from Cross-Correlation (Q3417428) (← links)
- Can Spike Coordination Be Differentiated from Rate Covariation? (Q3519218) (← links)
- Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics (Q3519230) (← links)
- Pattern Filtering for Detection of Neural Activity, with Examples from HVc Activity During Sleep in Zebra Finches (Q4461325) (← links)
- NONPARAMETRIC DETECTION OF DEPENDENCES IN STOCHASTIC POINT PROCESSES (Q4655669) (← links)
- Information-Geometric Measure for Neural Spikes (Q4781920) (← links)
- Investigation of Possible Neural Architectures Underlying Information-Geometric Measures (Q4819814) (← links)
- (Q5134581) (← links)
- (Q5134623) (← links)
- Influence of External Inputs and Asymmetry of Connections on Information-Geometric Measures Involving Up to Ten Neuronal Interactions (Q5175493) (← links)
- Point-Process Principal Components Analysis via Geometric Optimization (Q5327158) (← links)
- Impact of Spike Train Autostructure on Probability Distribution of Joint Spike Events (Q5378209) (← links)
- Spatiotemporal Conditional Inference and Hypothesis Tests for Neural Ensemble Spiking Precision (Q5380185) (← links)
- Surrogate Data Methods Based on a Shuffling of the Trials for Synchrony Detection: The Centering Issue (Q5380587) (← links)
- Multiple Tests Based on a Gaussian Approximation of the Unitary Events Method with Delayed Coincidence Count (Q5383784) (← links)
- Moving Sum Data Segmentation for Stochastic Processes Based on Invariance (Q6086169) (← links)