Detection and evaluation of bursts in terms of novelty and surprise.
暂无分享,去创建一个
[1] Sonja Grün,et al. Synchronous Spike Patterns in Macaque Motor Cortex during an Instructed-Delay Reach-to-Grasp Task , 2016, The Journal of Neuroscience.
[2] Maurice J. Chacron,et al. Nonrenewal spike train statistics: causes and functional consequences on neural coding , 2011, Experimental Brain Research.
[3] C R Legéndy. Three principles of brain function and structure. , 1975, The International journal of neuroscience.
[4] Christian Borgelt,et al. Statistical evaluation of synchronous spike patterns extracted by frequent item set mining , 2013, Front. Comput. Neurosci..
[5] G. Palm. Novelty, Information and Surprise , 2012, Information Science and Statistics.
[6] M. Nawrot,et al. Serial correlation in neural spike trains: experimental evidence, stochastic modeling, and single neuron variability. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[7] A. Reyes,et al. Relation between single neuron and population spiking statistics and effects on network activity. , 2006, Physical review letters.
[8] DiesmannMarkus,et al. Unitary events in multiple single-neuron spiking activity , 2002 .
[9] Sonja Grün,et al. Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task , 2018, Scientific Data.
[10] Robert E. Kass,et al. Detection of bursts in extracellular spike trains using hidden semi-Markov point process models , 2010, Journal of Computational Neuroscience.
[11] J. Csicsvari,et al. Reliability and State Dependence of Pyramidal Cell–Interneuron Synapses in the Hippocampus an Ensemble Approach in the Behaving Rat , 1998, Neuron.
[12] Fleur Zeldenrust,et al. Neural Coding With Bursts—Current State and Future Perspectives , 2018, Front. Comput. Neurosci..
[13] Kikuro Fukushima,et al. Relating Neuronal Firing Patterns to Functional Differentiation of Cerebral Cortex , 2009, PLoS Comput. Biol..
[14] W. Hager,et al. and s , 2019, Shallow Water Hydraulics.
[15] Yutaka Sakai,et al. Similarity in Neuronal Firing Regimes across Mammalian Species , 2016, The Journal of Neuroscience.
[16] David C. Tam. An alternate burst analysis for detecting intra-burst firings based on inter-burst periods , 2002, Neurocomputing.
[17] A. Riehle,et al. Mapping the spatio-temporal structure of motor cortical LFP and spiking activities during reach-to-grasp movements , 2013, Front. Neural Circuits.
[18] Sonja Grün,et al. Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data , 2002, Neural Computation.
[19] Sonja Grün,et al. Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE , 2017, Front. Comput. Neurosci..
[20] C. Shatz,et al. A Burst-Based “Hebbian” Learning Rule at Retinogeniculate Synapses Links Retinal Waves to Activity-Dependent Refinement , 2007, PLoS biology.
[21] Jari Hyttinen,et al. Network-Wide Adaptive Burst Detection Depicts Neuronal Activity with Improved Accuracy , 2017, Front. Comput. Neurosci..
[22] S. Martinoiaa,et al. Burst detection algorithms for the analysis of spatio-temporal patterns in cortical networks of neurons , 2005 .
[23] F. Delcomyn,et al. Identification of bursts in spike trains , 1992, Journal of Neuroscience Methods.
[24] M. DeWeese,et al. Binary Spiking in Auditory Cortex , 2003, The Journal of Neuroscience.
[25] Boris Gourévitch,et al. A nonparametric approach for detection of bursts in spike trains , 2007, Journal of Neuroscience Methods.
[26] Mingzhou Ding,et al. Trial-by-trial estimation of amplitude and latency variability in neuronal spike trains , 2007, Journal of Neuroscience Methods.
[27] Adam Kepecs,et al. Information encoding and computation with spikes and bursts , 2003, Network.
[28] Stefan Rotter,et al. Elimination of response latency variability in neuronal spike trains , 2003, Biological Cybernetics.
[29] Ralph Neininger,et al. A multiple filter test for the detection of rate changes in renewal processes with varying variance , 2013, 1303.3594.
[30] Sergio Martinoia,et al. A self-adapting approach for the detection of bursts and network bursts in neuronal cultures , 2010, Journal of Computational Neuroscience.
[31] Sonja Grün,et al. Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance , 2002, Neural Computation.
[32] D. Ko,et al. Detection of bursts and pauses in spike trains , 2012, Journal of Neuroscience Methods.
[33] C. Legéndy,et al. Bursts and recurrences of bursts in the spike trains of spontaneously active striate cortex neurons. , 1985, Journal of neurophysiology.
[34] Martin P. Nawrot,et al. Analysis and Interpretation of Interval and Count Variability in Neural Spike Trains , 2010 .
[35] Sonja Grün,et al. Behavioral Context Determines Network State and Variability Dynamics in Monkey Motor Cortex , 2017, bioRxiv.
[36] George L. Gerstein,et al. Determination of Response Latency and Its Application to Normalization of Cross-Correlation Measures , 2001, Neural Computation.
[37] Lin Chen,et al. Detection of bursts in neuronal spike trains by the mean inter-spike interval method , 2009 .
[38] Petr Lánský,et al. A review of the methods for neuronal response latency estimation , 2015, Biosyst..
[39] J. Assad,et al. Beyond Poisson: Increased Spike-Time Regularity across Primate Parietal Cortex , 2009, Neuron.
[40] G. Buzsáki,et al. Temporal Interaction between Single Spikes and Complex Spike Bursts in Hippocampal Pyramidal Cells , 2001, Neuron.
[41] Stefan Rotter,et al. Measurement of variability dynamics in cortical spike trains , 2008, Journal of Neuroscience Methods.
[42] Alessandro Vato,et al. Burst detection algorithms for the analysis of spatio-temporal patterns in cortical networks of neurons , 2005, Neurocomputing.
[43] Hirokazu Takahashi,et al. Parameters for burst detection , 2014, Front. Comput. Neurosci..
[44] G. Palm. Evidence, information, and surprise , 1981, Biological Cybernetics.