Academic literature on the topic 'Spike time synchrony'

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Journal articles on the topic "Spike time synchrony"

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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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Eisenman, Lawrence N., Christine M. Emnett, Jayaram Mohan, Charles F. Zorumski, and Steven Mennerick. "Quantification of bursting and synchrony in cultured hippocampal neurons." Journal of Neurophysiology 114, no. 2 (2015): 1059–71. http://dx.doi.org/10.1152/jn.00079.2015.

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It is widely appreciated that neuronal networks exhibit patterns of bursting and synchrony that are not captured by simple measures such as average spike rate. These patterns can encode information or represent pathological behavior such as seizures. However, methods for quantifying bursting and synchrony are not agreed upon and can be confounded with spike rate measures. Previous validation has largely relied on in silico networks and single experimental conditions. How published measures of bursting and synchrony perform when applied to biological networks of varied average spike rate and su
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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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Golomb, David. "Models of Neuronal Transient Synchrony During Propagation of Activity Through Neocortical Circuitry." Journal of Neurophysiology 79, no. 1 (1998): 1–12. http://dx.doi.org/10.1152/jn.1998.79.1.1.

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Golomb, David. Models of neuronal transient synchrony during propagation of activity through neorcortical circuitry. J. Neurophysiol. 79: 1–12, 1998. Stereotypic paroxysmal discharges that propagate in neocortical tissues after electrical stimulations are used as a probe for studying cortical circuitry. I use modeling to investigate the effects of sparse connectivity, heterogeneity of intrinsic neuronal properties, and synaptic noise on synchronization of evoked propagating neuronal discharges in a network of excitatory, regular spiking neurons with spatially decaying connectivity. The global
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Baker, S. N., and R. N. Lemon. "Computer Simulation of Post-Spike Facilitation in Spike-Triggered Averages of Rectified EMG." Journal of Neurophysiology 80, no. 3 (1998): 1391–406. http://dx.doi.org/10.1152/jn.1998.80.3.1391.

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Baker, S. N. and R. N. Lemon. Computer simulation of post-spike facilitation in spike-triggered averages of rectified EMG. J. Neurophysiol. 80: 1391–1406, 1998. When the spikes of a motor cortical cell are used to compile a spike-triggered average (STA) of rectified electromyographic (EMG) activity, a post-spike facilitation (PSF) is sometimes seen. This is generally thought to be indicative of direct corticomotoneuronal (CM) connections. However, it has been claimed that a PSF could be caused by synchronization between CM and non-CM cells. This study investigates the generation of PSF using a
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Stigen, Tyler, Per Danzl, Jeff Moehlis, and Theoden Netoff. "Controlling spike timing and synchrony in oscillatory neurons." Journal of Neurophysiology 105, no. 5 (2011): 2074–82. http://dx.doi.org/10.1152/jn.00898.2011.

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We describe an algorithm to control synchrony between two periodically firing neurons. The control scheme operates in real-time using a dynamic clamp platform. This algorithm is a low-impact stimulation method that brings the neurons toward the desired level of synchrony over the course of several neuron firing periods. As a proof of principle, we demonstrate the versatility of the algorithm using real-time conductance models and then show its performance with biological neurons of hippocampal region CA1 and entorhinal cortex.
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Trimper, John B., and Laura Lee Colgin. "Spike Time Synchrony in the Absence of Continuous Oscillations." Neuron 100, no. 3 (2018): 527–29. http://dx.doi.org/10.1016/j.neuron.2018.10.036.

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Lin (林佳霈), Chia-pei, Yueh-peng Chen (陳嶽鵬), and Chou P. Hung (洪洲伯). "Tuning and spontaneous spike time synchrony share a common structure in macaque inferior temporal cortex." Journal of Neurophysiology 112, no. 4 (2014): 856–69. http://dx.doi.org/10.1152/jn.00485.2013.

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Investigating the relationship between tuning and spike timing is necessary to understand how neuronal populations in anterior visual cortex process complex stimuli. Are tuning and spontaneous spike time synchrony linked by a common spatial structure (do some cells covary more strongly, even in the absence of visual stimulation?), and what is the object coding capability of this structure? Here, we recorded from spiking populations in macaque inferior temporal (IT) cortex under neurolept anesthesia. We report that, although most nearby IT neurons are weakly correlated, neurons with more simila
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Briggs, Barbara G., and Allan Tinker. "Synchronous monoecy in Ecdeiocoleaceae (Poales), in Western Australia." Australian Journal of Botany 62, no. 5 (2014): 391. http://dx.doi.org/10.1071/bt14138.

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The Western Australian plant family Ecdeiocoleaceae includes only three species but DNA data show them as the closest living sister-group of the Poaceae. Ecdeiocoleaceae are wind-pollinated and monoecious; spikes produce separate zones of pistillate and staminate flowers, in acropetal succession. Spikes of Ecdeiocolea have up to 45 flowers, with a sequence of zones up the spike, commonly pistillate–staminate–pistillate–staminate–pistillate, with potentially high fruit set in both of the lower pistillate zones. Rainfall in their habitats in semiarid south-western Australia is highly variable an
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Book chapters on the topic "Spike time synchrony"

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Kitano, Katsunori, and Tomoki Fukai. "Predictive synchrony organized by spike-based Hebbian learning with time-representing synfire activities." In Neural Information Processing: Research and Development. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-39935-3_5.

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Bailey, Charles-James N. "Epilogue on Historical Linguistics." In Essays on Time-Based Linguistic Analysis. Oxford University PressOxford, 1996. http://dx.doi.org/10.1093/oso/9780198242208.003.0011.

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Abstract I Much that has been learned about the development and analysis of languages in the past two decades or so has been ignored by traditional historical-comparative linguistics, much to the detriment of the discipline. Besides the self-evident philistinism of this, and besides the undefended and indefensible use in comparative analysis of minilectal, or synchronic-idiolectal (anticom-parative), models—often subsequently to their having been discarded even in synchronic-idiolectal analysis-there is also the exclusive use, by more than a few, of purely surficial phenomena to establish lang
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Burwell R.G., Aujla R.K., Kirby A.S., et al. "Ultrasound femoral anteversion (FAV) and tibial torsion (TT) after school screening for adolescent idiopathic scoliosis (AIS)." In Studies in Health Technology and Informatics. IOS Press, 2008. https://doi.org/10.3233/978-1-58603-888-5-225.

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Torsion and counter-torsion in the spine are features of the three-dimensional deformity of adolescent idiopathic scoliosis, Vertebral axial rotation has recently been found in the normal adult thoracic spine. Torsion in the lower limbs, femora and tibiae is a feature of normal human skeletal postnatal development. In recent years, femoral anteversion (FAV) and tibial torsion (TT) have been studied in normal children by imaging techniques, especially ultrasound. This paper reports summaries of the application of real-time ultrasound to FAV and TT of normal children and scoliosis school screeni
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Maggiani, Adriano. "Magistrates and Political Institutions." In The Oxford Handbook of Pre-Roman Italy (1000--49 BCE). Oxford University Press, 2024. http://dx.doi.org/10.1093/oxfordhb/9780199987894.013.31.

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Abstract The central southern region of Italy was made up of a multiplicity of populations who spoke different languages and dialects. Apart from a few common features, they did not show the same level of development in synchrony, either with regard to the forms of the settlements or the institutions. It has been argued that there were original magistracy systems among the Italic peoples, autonomous from the Roman magistracy, but many of the titles are considered definite borrowings from Latin. This chapter examines the institutional systems and the magistracies of the Etruscan and Italic popu
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Wendling, Fabrice, Pascal Benquet, and Fabrice Bartolomei. "SEEG Recordings: From Signal Processing to Models of Epileptogenic Networks." In Invasive Studies of the Human Epileptic Brain, edited by Samden D. Lhatoo, Philippe Kahane, and Hans O. Lüders. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198714668.003.0039.

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Signal processing methods may constitute a substantial complement to visual analysis of SEEG signals in providing quantified information on signals (e.g. morphological characteristics) and in computing meaningful quantities that are not accessible to visual inspection (e.g. spectral properties or synchrony). In addition, and complementary to signal processing, computational neuroscience aims at developing models of epileptogenic networks and ultimately explaining some mechanisms involved in the generation of epileptiform activity. This chapter reviews a number of signal processing methods (tim
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Srivastava, Aditya, and Kalpna Katiyar. "The Ecology of Bioluminescence." In Bioluminescence [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96636.

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Bioluminescence, or the ability to emit light biologically, has evolved multiple times across various taxa. As fascinating as the phenomenon is, various studies have been undertaken to harness this phenomenon for human use. However, the origins, distribution and ecology of bioluminescence still remain obscure. The capability to produce biological light is found in various species, ranging from tiny bacteria to huge fishes like lantern sharks. Many organisms that do not possess this ability partake in symbiotic relationships, resulting in a variety of anatomical and behavioral modifications. Th
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Conference papers on the topic "Spike time synchrony"

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Mulansky, Mario, Nebojsa Bozanic, Andreea Sburlea, and Thomas Kreuz. "A guide to time-resolved and parameter-free measures of spike train synchrony." In 2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP). IEEE, 2015. http://dx.doi.org/10.1109/ebccsp.2015.7300693.

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