Relevant bibliographies by topics / Spike Train Distance

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Spike Train Distance'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Spike Train Distance"

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Rusu, Cătălin V., and Răzvan V. Florian. "A New Class of Metrics for Spike Trains." Neural Computation 26, no. 2 (2014): 306–48. http://dx.doi.org/10.1162/neco_a_00545.

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The distance between a pair of spike trains, quantifying the differences between them, can be measured using various metrics. Here we introduce a new class of spike train metrics, inspired by the Pompeiu-Hausdorff distance, and compare them with existing metrics. Some of our new metrics (the modulus-metric and the max-metric) have characteristics that are qualitatively different from those of classical metrics like the van Rossum distance or the Victor and Purpura distance. The modulus-metric and the max-metric are particularly suitable for measuring distances between spike trains where inform
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Ciba, Manuel, Robert Bestel, Christoph Nick, et al. "Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline-Induced Epileptiform Activity." Neural Computation 32, no. 5 (2020): 887–911. http://dx.doi.org/10.1162/neco_a_01277.

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As synchronized activity is associated with basic brain functions and pathological states, spike train synchrony has become an important measure to analyze experimental neuronal data. Many measures of spike train synchrony have been proposed, but there is no gold standard allowing for comparison of results from different experiments. This work aims to provide guidance on which synchrony measure is best suited to quantify the effect of epileptiform-inducing substances (e.g., bicuculline, BIC) in in vitro neuronal spike train data. Spike train data from recordings are likely to suffer from erron
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Kreuz, Thomas, Daniel Chicharro, Conor Houghton, Ralph G. Andrzejak, and Florian Mormann. "Monitoring spike train synchrony." Journal of Neurophysiology 109, no. 5 (2013): 1457–72. http://dx.doi.org/10.1152/jn.00873.2012.

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Recently, the SPIKE-distance has been proposed as a parameter-free and timescale-independent measure of spike train synchrony. This measure is time resolved since it relies on instantaneous estimates of spike train dissimilarity. However, its original definition led to spuriously high instantaneous values for eventlike firing patterns. Here we present a substantial improvement of this measure that eliminates this shortcoming. The reliability gained allows us to track changes in instantaneous clustering, i.e., time-localized patterns of (dis)similarity among multiple spike trains. Additional ne
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Kreuz, Thomas, Mario Mulansky, and Nebojsa Bozanic. "SPIKY: a graphical user interface for monitoring spike train synchrony." Journal of Neurophysiology 113, no. 9 (2015): 3432–45. http://dx.doi.org/10.1152/jn.00848.2014.

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Techniques for recording large-scale neuronal spiking activity are developing very fast. This leads to an increasing demand for algorithms capable of analyzing large amounts of experimental spike train data. One of the most crucial and demanding tasks is the identification of similarity patterns with a very high temporal resolution and across different spatial scales. To address this task, in recent years three time-resolved measures of spike train synchrony have been proposed, the ISI-distance, the SPIKE-distance, and event synchronization. The Matlab source codes for calculating and visualiz
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Paiva, António R. C., Il Park, and José C. Príncipe. "A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing." Neural Computation 21, no. 2 (2009): 424–49. http://dx.doi.org/10.1162/neco.2008.09-07-614.

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This letter presents a general framework based on reproducing kernel Hilbert spaces (RKHS) to mathematically describe and manipulate spike trains. The main idea is the definition of inner products to allow spike train signal processing from basic principles while incorporating their statistical description as point processes. Moreover, because many inner products can be formulated, a particular definition can be crafted to best fit an application. These ideas are illustrated by the definition of a number of spike train inner products. To further elicit the advantages of the RKHS framework, a f
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Adamatzky, Andrew, Alessandro Chiolerio, and Georgios Sirakoulis. "Electrical Resistive Spiking of Fungi." Biophysical Reviews and Letters 16, no. 01 (2021): 1–7. http://dx.doi.org/10.1142/s1793048021500016.

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We study long-term electrical resistance dynamics in mycelium and fruit bodies of oyster fungi P. ostreatus. A nearly homogeneous sheet of mycelium on the surface of a growth substrate exhibits trains of resistance spikes. The average width of spikes is c. 23[Formula: see text]min and the average amplitude is c. 1[Formula: see text]k[Formula: see text]. The distance between neighboring spikes in a train of spikes is c. 30[Formula: see text]min. Typically, there are 4–6 spikes in a train of spikes. Two types of electrical resistance spikes trains are found in fruit bodies: low frequency and hig
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Houghton, Conor, and Kamal Sen. "A New Multineuron Spike Train Metric." Neural Computation 20, no. 6 (2008): 1495–511. http://dx.doi.org/10.1162/neco.2007.10-06-350.

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The Victor-Purpura spike train metric has recently been extended to a family of multineuron metrics and used to analyze spike trains recorded simultaneously from pairs of proximate neurons. The metric is one of the two metrics commonly used for quantifying the distance between two spike trains; the other is the van Rossum metric. Here, we suggest an extension of the van Rossum metric to a multineuron metric. We believe this gives a metric that is both natural and easy to calculate. Both types of multineuron metric are applied to simulated data and are compared.
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Chen, Yan, Vitaliy Marchenko, and Robert F. Rogers. "Joint Probability-Based Neuronal Spike Train Classification." Computational and Mathematical Methods in Medicine 10, no. 3 (2009): 229–39. http://dx.doi.org/10.1080/17486700802448615.

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Neuronal spike trains are used by the nervous system to encode and transmit information. Euclidean distance-based methods (EDBMs) have been applied to quantify the similarity between temporally-discretized spike trains and model responses. In this study, using the same discretization procedure, we developed and applied a joint probability-based method (JPBM) to classify individual spike trains of slowly adapting pulmonary stretch receptors (SARs). The activity of individual SARs was recorded in anaesthetized, paralysed adult male rabbits, which were artificially-ventilated at constant rate and
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Brasselet, Romain, Roland S. Johansson, and Angelo Arleo. "Quantifying Neurotransmission Reliability Through Metrics-Based Information Analysis." Neural Computation 23, no. 4 (2011): 852–81. http://dx.doi.org/10.1162/neco_a_00099.

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We set forth an information-theoretical measure to quantify neurotransmission reliability while taking into full account the metrical properties of the spike train space. This parametric information analysis relies on similarity measures induced by the metrical relations between neural responses as spikes flow in. Thus, in order to assess the entropy, the conditional entropy, and the overall information transfer, this method does not require any a priori decoding algorithm to partition the space into equivalence classes. It therefore allows the optimal parameters of a class of distances to be
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Koyama, Shinsuke, and Robert E. Kass. "Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons." Neural Computation 20, no. 7 (2008): 1776–95. http://dx.doi.org/10.1162/neco.2008.06-07-540.

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Mathematical models of neurons are widely used to improve understanding of neuronal spiking behavior. These models can produce artificial spike trains that resemble actual spike train data in important ways, but they are not very easy to apply to the analysis of spike train data. Instead, statistical methods based on point process models of spike trains provide a wide range of data-analytical techniques. Two simplified point process models have been introduced in the literature: the time-rescaled renewal process (TRRP) and the multiplicative inhomogeneous Markov interval (m-IMI) model. In this
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Dissertations / Theses on the topic "Spike Train Distance"

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Chicharro, Raventós Daniel. "Characterization of information and causality measures for the study of neuronal data." Doctoral thesis, Universitat Pompeu Fabra, 2011. http://hdl.handle.net/10803/22658.

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We study two methods of data analysis which are common tools for the analysis of neuronal data. In particular, we examine how causal interactions between brain regions can be investigated using time series reflecting the neural activity in these regions. Furthermore, we analyze a method used to study the neural code that evaluates the discrimination of the responses of single neurons elicited by different stimuli. This discrimination analysis is based on the quantification of the similarity of the spike trains with time scale parametric spike train distances. In each case we describe the metho
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BOZANIC, NEBOJSA. "Measures of spike train synchrony." Doctoral thesis, 2016. http://hdl.handle.net/2158/1043650.

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In experimental neuroscience techniques for recording large-scale neuronal spiking activity are developing very fast. This leads to an increasing demand for algorithms capable of analyzing large amounts of spike train data. One of the most crucial and demanding tasks is the identification of similarity patterns with a very high temporal resolution and across different spatial scales. To address this task, in recent years time-resolved measures of spike train synchrony such as the ISI-distance and the SPIKE-distance have been proposed. Here we add the complementary measure SPIKE-synchronization
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SATUVUORI, EERO ANTERO. "Spike train distances and neuronal coding." Doctoral thesis, 2019. http://hdl.handle.net/2158/1153169.

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The thesis is from the field of data-analysis and computational neuroscience. In the thesis I improved existing spike train distance measures and developed new ones. The main methods used are ISI-distance, SPIKE-distance and SPIKE-Synchronization.
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Books on the topic "Spike Train Distance"

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Mason, Peggy. Electrical Communication Within a Neuron. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190237493.003.0010.

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Postsynaptic potentials integrate across time and space within a single neuron. The influence of the length constant on spatial summation and of the time constant on temporal summation is described. Whereas passive properties give rise to graded potentials, the voltage-gated sodium channel (VGSC) supports the all-or-none action potential. The action potential can be used to conduct information across long distances and is therefore used in the majority of neurons that have axons. How the inactivated state of VGSCs gives rise to the refractory period and dynamic polarization is described. The m
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Book chapters on the topic "Spike Train Distance"

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Victor, Jonathan D. "Spike Train Distance." In Encyclopedia of Computational Neuroscience. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_409.

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Victor, Jonathan D. "Spike Train Distance." In Encyclopedia of Computational Neuroscience. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7320-6_409-1.

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Kreuz, Thomas, Conor Houghton, and Jonathan D. Victor. "Spike Train Distance." In Encyclopedia of Computational Neuroscience. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-7320-6_409-2.

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"Measuring Representational Distances: The Spike-Train Metrics Approach." In Visual Population Codes. The MIT Press, 2011. http://dx.doi.org/10.7551/mitpress/8404.003.0012.

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Au Lucy. "Successes and Failures of Using the Cell Phone as a Main Mode of Communication Between Participants and Facilitators from a Distance: An Innovative Method of Training Rural Health Facility Managers in Papua New Guinea." In Studies in Health Technology and Informatics. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-152-6-19.

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Rural Health Facility Management Training is a training program developed by the National Department of Health in collaboration with AUSAID through the office of the Capacity Building Service Centre. The purpose of the training is to train officers-in-charge who did not acquire knowledge and skills of managing a health facility. As part of this study, it is essential to assess whether the cell phone is a better mode of communication between the participants and the facilitators compared with other modes of communication from a distance. The study used the cross-sectional method to collect 160
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Yatsenko, Ivan, and Valentin Kozachok. "THE PROCEDURE FOR DESCRIBING INJURIES INFLICTED BY SHARP OBJECTS DURING A FORENSIC VETERINARY EXAMINATION." In Directions for the development of science in the context of global transformations. Publishing House “Baltija Publishing”, 2025. https://doi.org/10.30525/978-9934-26-562-4-5.

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The paper outlines for the first time a theoretical generalization of data on the procedure for describing injuries inflicted by sharp objects, which has led to the generalisation of our own practice of conducting a forensic veterinary examination. The study aims to systematize and substantiate signs of injuries caused to animals by sharp objects necessary for conducting a forensic veterinary examination and drawing up an expert opinion. General scientific and special methods have been employed: dialectical, system-structural, system-functional, comparative legal, methods of formal logic (anal
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Conference papers on the topic "Spike Train Distance"

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Shekhar, Shubhanshu, and Kaushik Majumdar. "A new spike train distance measure." In 2012 International Conference on Data Science & Engineering (ICDSE). IEEE, 2012. http://dx.doi.org/10.1109/icdse.2012.6281906.

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Iskarous, Mark M., Sriramana Sankar, Qianwei Li, Christopher L. Hunt, and Nitish V. Thakor. "A scalable algorithm based on spike train distance to select stimulation patterns for sensory feedback." In 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2021. http://dx.doi.org/10.1109/ner49283.2021.9441155.

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Ande, Sathish, Jayanth R. Regatti, Neha Pandey, Ajith Karunarathne, Lopamudra Giri, and Soumya Jana. "Heterogeneity in Neuronal Calcium Spike Trains based on Empirical Distance." In 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2021. http://dx.doi.org/10.1109/ner49283.2021.9441175.

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Nolasco Jauregui, Oralia. "A Machine Learning approach to Neural Information Decoding of Spike Train Distances in the Peripheral Nervous System." In LatinX in AI at Neural Information Processing Systems Conference 2019. Journal of LatinX in AI Research, 2019. http://dx.doi.org/10.52591/lxai2019120817.

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Decoding the neural signal has proved to be an elusive goal. We explore the use of sequence analysis algorithms to identify repeating patterns of spike train distances and found that they could be associated to the stimulus in the rat peripheral system with good results. The use of these algorithms is very common in genomics and proteomics for genetic sequence analysis but rarely applied to neural systems analysis. We are convinced that with proper tuning they could yield useful results.
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Jetti, Siddhartha, and Vahid Motevalli. "A System Level Analysis of the Framework and Feasibility for Dual Air and Road Mode Vehicle." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-89205.

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The dual mode air-road vehicle is one of those concepts that have intrigued travelers and inventors for a long time. The quest for a vehicle that can be driven on the roads and flown in the sky started as early as the development of airplane by Wright brothers in 1906. With the ever growing traffic and congestion on the roads, increased security procedures at airports and airline hub-spoke system, the travel times for certain range of distances have increased in recent times creating a need for a dual mode vehicle. In the US, for the mid-range distances (200–500 mile), travel options available
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Lawrence, George N. "Integration of geometrical and physical optics concepts in optical modeling." In OSA Annual Meeting. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.we1.

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Geometrical optics, in spite of its relatively simple treatment of the properties of light, has proved to be extraordinarily useful for many types of system. Physical optics analysis using a complex amplitude description of the wavefront can, in principle, more accurately calculate the properties of many types of system. The greater power comes with greater complexity and increased cost of calculation. By artfully including paraxial and exact geometrical principles, physical optics calculations can more readily be applied to a variety of simple and complex optical systems. The series of diffra
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Western, Laura T., Kuldeepsinh Rana, and Michael R. King. "Flow-Based Isolation and Neutralization of Circulating Tumor Cells." In ASME 2009 7th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2009. http://dx.doi.org/10.1115/icnmm2009-82137.

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Circulating tumor cells (CTC) have the potential to be used clinically as a diagnostic tool and a treatment tool in the field of oncology. As a diagnostic tool, CTC may be used to indicate the presence of a tumor before the tumor is large enough to cause noticeable symptoms. As a treatment tool, CTC isolated from patients may be used to test the efficacy of chemotherapy options to personalize patient treatment. One way for tumors to spread is through metastasis via the circulatory system. CTC are able to exploit the natural leukocyte recruitment process that is initially mediated by rolling on
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