A Novel Spike Distance

From MaRDI portal
Publication:2731446

DOI10.1162/089976601300014321zbMath0979.92011OpenAlexW2111562869WikidataQ47894449 ScholiaQ47894449MaRDI QIDQ2731446

Mark C. W. Van Rossum

Publication date: 10 February 2002

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://www.pure.ed.ac.uk/ws/files/7772755/089976601300014321.pdf




Related Items (35)

Improved Similarity Measures for Small Sets of Spike TrainsEstimating Parameters of Generalized Integrate-and-Fire Neurons from the Maximum Likelihood of Spike TrainsA kernel-based calculation of information on a metric spaceA computational investigation of electrotonic coupling between pyramidal cells in the cortexLarge-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical WiringStrictly Positive-Definite Spike Train Kernels for Point-Process DivergencesQuantifying Statistical Interdependence by Message Passing on Graphs—Part I: One-Dimensional Point ProcessesSupervised Learning in Multilayer Spiking Neural NetworksDefinition of distance for nonlinear time series analysis of marked point process dataMultineuron spike train analysis with R-convolution linear combination kernelEstimating summary statistics in the spike-train spaceA New Multineuron Spike Train MetricA new framework for Euclidean summary statistics in the neural spike train spaceDynamics of the exponential integrate-and-fire model with slow currents and adaptationA New Class of Metrics for Spike TrainsLearning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural NetworksLearning Precise Spike Train–to–Spike Train Transformations in Multilayer Feedforward Neuronal NetworksNeural Decoding with Kernel-Based Metric LearningIntroduction to neural spike train data for phase-amplitude analysisContext-dependent coding in single neuronsModel-based asessment of an in-vivo predictive relationship from CA1 to CA3 in the rodent hippocampusSuperSpike: Supervised Learning in Multilayer Spiking Neural NetworksCosMIC: A Consistent Metric for Spike Inference from Calcium ImagingQuantifying Neurotransmission Reliability Through Metrics-Based Information AnalysisA simple algorithm for averaging spike trainsA Fast ℒp Spike Alignment MetricA Reproducing Kernel Hilbert Space Framework for Spike Train Signal ProcessingThe quantitative single-neuron modeling competitionValuations for Spike Train PredictionExact Spike Train Inference Via $\ell_0$ OptimizationThe maximum points-based supervised learning rule for spiking neural networksCalculating the Mutual Information between Two Spike TrainsUnnamed ItemUnnamed ItemEvent-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics



Cites Work


This page was built for publication: A Novel Spike Distance