暂无分享,去创建一个
[1] P. S. Sastry,et al. A survey of temporal data mining , 2006 .
[2] R. Kass,et al. Multiple neural spike train data analysis: state-of-the-art and future challenges , 2004, Nature Neuroscience.
[3] P. Sastry,et al. Statistical significance of sequential firing patterns in multi-neuronal spike trains , 2009, Journal of Neuroscience Methods.
[4] Gordon Pipa,et al. NeuroXidence: reliable and efficient analysis of an excess or deficiency of joint-spike events , 2009, Journal of Computational Neuroscience.
[5] P. S. Sastry,et al. A fast algorithm for finding frequent episodes in event streams , 2007, KDD '07.
[6] M. Abeles,et al. Detecting precise firing sequences in experimental data , 2001, Journal of Neuroscience Methods.
[7] Abdullah Akce,et al. A Feedback Information-Theoretic Approach to the Design of Brain–Computer Interfaces , 2010, Int. J. Hum. Comput. Interact..
[8] John P. Donoghue,et al. Bridging the Brain to the World: A Perspective on Neural Interface Systems , 2008, Neuron.
[9] Sonja Grün,et al. Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance , 2002, Neural Computation.
[10] P. S. Sastry,et al. Conditional Probability-Based Significance Tests for Sequential Patterns in Multineuronal Spike Trains , 2008, Neural Computation.
[11] Fabian Mörchen,et al. Unsupervised pattern mining from symbolic temporal data , 2007, SKDD.
[12] P. S. Sastry,et al. Discovering frequent episodes and learning hidden Markov models: a formal connection , 2005, IEEE Transactions on Knowledge and Data Engineering.
[13] Debprakash Patnaik,et al. Inferring neuronal network connectivity from spike data: A temporal data mining approach , 2008, Sci. Program..
[14] Sonja Grün,et al. Data-driven significance estimation for precise spike correlation. , 2009, Journal of neurophysiology.