Pages that link to "Item:Q3562862"
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The following pages link to The Computational Structure of Spike Trains (Q3562862):
Displaying 17 items.
- Exact Spike Train Inference Via $\ell_0$ Optimization (Q152825) (← links)
- Predictive rate-distortion for infinite-order Markov processes (Q310017) (← links)
- Entropy, mutual information, and systematic measures of structured spiking neural networks (Q827853) (← links)
- Decoding spike train ensembles: tracking a moving stimulus (Q885487) (← links)
- Fast combinatorial methods to estimate the probability of complex temporal patterns of spikes (Q1369142) (← links)
- Correlated biased random walk with latency in one and two dimensions: asserting patterned and unpredictable movement (Q1619682) (← links)
- Surveying structural complexity in quantum many-body systems (Q2116522) (← links)
- Analysis of spike-driven processes through attributable components (Q2282320) (← links)
- Multiscale relevance and informative encoding in neuronal spike trains (Q2300404) (← links)
- Computing the optimally fitted spike train for a synapse (Q2784816) (← links)
- Finding the Event Structure of Neuronal Spike Trains (Q3116925) (← links)
- Binless Kernel Machine: Modeling Spike Train Transformation for Cognitive Neural Prostheses (Q3386405) (← links)
- Computation in a Single Neuron: Hodgkin and Huxley Revisited (Q4814194) (← links)
- Increasing complexity with quantum physics (Q5264339) (← links)
- Encoding Through Patterns: Regression Tree–Based Neuronal Population Models (Q5378240) (← links)
- On the Mathematical Consequences of Binning Spike Trains (Q5380638) (← links)
- A high-efficiency model indicating the role of inhibition in the resilience of neuronal networks to damage resulting from traumatic injury (Q6130947) (← links)
