scholarly journals Test Statistics for the Identification of Assembly Neurons in Parallel Spike Trains

2015 ◽  
Vol 2015 ◽  
pp. 1-12
Author(s):  
David Picado Muiño ◽  
Christian Borgelt
Keyword(s):  
Neural Coding ◽  
Statistical Tests ◽  
Spike Trains ◽  
Test Statistics ◽  
Combinatorial Explosion ◽  
Neuronal Assemblies ◽  
Methodological Problems ◽  
Neuronal Assembly ◽  
Assembly Activity ◽  
Made In

In recent years numerous improvements have been made in multiple-electrode recordings (i.e., parallel spike-train recordings) and spike sorting to the extent that nowadays it is possible to monitor the activity of up to hundreds of neurons simultaneously. Due to these improvements it is now potentially possible to identify assembly activity (roughly understood assignificantsynchronous spiking of a group of neurons) from these recordings, which—if it can be demonstrated reliably—would significantly improve our understanding of neural activity and neural coding. However, several methodological problems remain when trying to do so and, among them, a principal one is the combinatorial explosion that one faces when considering all potential neuronal assemblies, since in principle every subset of the recorded neurons constitutes a candidate set for an assembly. We present several statistical tests to identify assembly neurons (i.e., neurons that participate in a neuronal assembly) from parallel spike trains with the aim of reducing the set of neurons to a relevant subset of them and this way ease the task of identifying neuronal assemblies in further analyses. These tests are an improvement of those introduced in the work by Berger et al. (2010) based on additional features like spike weight or pairwise overlap and on alternative ways to identify spike coincidences (e.g., by avoiding time binning, which tends to lose information).

scholarly journals Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains

2010 ◽  
Vol 2010 ◽  
pp. 1-18 ◽  
Author(s):  
Denise Berger ◽  
Christian Borgelt ◽  
Sebastien Louis ◽  
Abigail Morrison ◽  
Sonja Grün
Keyword(s):  
Computation Time ◽  
Spike Trains ◽  
Correlation Structure ◽  
Massively Parallel ◽  
Data Sets ◽  
Combinatorial Explosion ◽  
Pattern Complexity ◽  
Large Numbers ◽  
The Individual ◽  
Assembly Activity

The chance of detecting assembly activity is expected to increase if the spiking activities of large numbers of neurons are recorded simultaneously. Although such massively parallel recordings are now becoming available, methods able to analyze such data for spike correlation are still rare, as a combinatorial explosion often makes it infeasible to extend methods developed for smaller data sets. By evaluating pattern complexity distributions the existence of correlated groups can be detected, but their member neurons cannot be identified. In this contribution, we present approaches to actually identify the individual neurons involved in assemblies. Our results may complement other methods and also provide a way to reduce data sets to the “relevant” neurons, thus allowing us to carry out a refined analysis of the detailed correlation structure due to reduced computation time.

Qualitative simulation and related approaches for the analysis of dynamic systems

2004 ◽  
Vol 19 (2) ◽  
pp. 93-132 ◽  
Author(s):  
HIDDE DE JONG
Keyword(s):  
Qualitative Analysis ◽  
Dynamic Systems ◽  
Quantitative Information ◽  
Simulation Methods ◽  
Science And Engineering ◽  
Computational Framework ◽  
Combinatorial Explosion ◽  
Qualitative Simulation ◽  
Qualitative Phase ◽  
Made In

Methods for qualitative simulation allow predictions on the dynamics of a system to be made in the absence of quantitative information, by inferring the range of possible qualitative behaviors compatible with the structure of the system. This article reviews QSIM and other qualitative simulation methods. It discusses two problems that have seriously compromised the application of these methods to realistic problems in science and engineering: the occurrence of spurious behavior predictions and the combinatorial explosion of the number of behavior predictions. In response to these problems, related approaches for the qualitative analysis of dynamic systems have emerged: qualitative phase-space analysis and semi-quantitative simulation. The article argues for a synthesis of these approaches in order to obtain a computational framework for the qualitative analysis of dynamic systems. This should provide a solid basis for further upscaling and for the development of model-based reasoning applications of a wider scope.

Interval Coding. II. Dendrite-Dependent Mechanisms

2007 ◽  
Vol 97 (4) ◽  
pp. 2744-2757 ◽  
Author(s):  
Brent Doiron ◽  
Anne-Marie M. Oswald ◽  
Leonard Maler
Keyword(s):  
Neural Coding ◽  
Pyramidal Neurons ◽  
Temporal Structure ◽  
Spike Trains ◽  
Sensory Cells ◽  
Cellular Mechanics ◽  
Dynamic Stimuli ◽  
Multiple Dimensions ◽  
Sensory Modalities ◽  
The Rich

The rich temporal structure of neural spike trains provides multiple dimensions to code dynamic stimuli. Popular examples are spike trains from sensory cells where bursts and isolated spikes can serve distinct coding roles. In contrast to analyses of neural coding, the cellular mechanics of burst mechanisms are typically elucidated from the neural response to static input. Bridging the mechanics of bursting with coding of dynamic stimuli is an important step in establishing theories of neural coding. Electrosensory lateral line lobe (ELL) pyramidal neurons respond to static inputs with a complex dendrite-dependent burst mechanism. Here we show that in response to dynamic broadband stimuli, these bursts lack some of the electrophysiological characteristics observed in response to static inputs. A simple leaky integrate-and-fire (LIF)-style model with a dendrite-dependent depolarizing afterpotential (DAP) is sufficient to match both the output statistics and coding performance of experimental spike trains. We use this model to investigate a simplification of interval coding where the burst interspike interval (ISI) codes for the scale of a canonical upstroke rather than a multidimensional stimulus feature. Using this stimulus reduction, we compute a quantization of the burst ISIs and the upstroke scale to show that the mutual information rate of the interval code is maximized at a moderate DAP amplitude. The combination of a reduced description of ELL pyramidal cell bursting and a simplification of the interval code increases the generality of ELL burst codes to other sensory modalities.

scholarly journals Decomposition of neuronal assembly activity via empirical de-Poissonization

2007 ◽  
Vol 1 (0) ◽  
pp. 473-495 ◽  
Author(s):  
Werner Ehm ◽  
Benjamin Staude ◽  
Stefan Rotter
Keyword(s):  
Neuronal Assembly ◽  
Assembly Activity

The History and Status of the Journal of Sport Psychology: 1979-1985

1986 ◽  
Vol 8 (3) ◽  
pp. 149-163 ◽  
Author(s):  
Daniel M. Landers ◽  
Stephen H. Boutcher ◽  
Min Q. Wang
Keyword(s):  
Sport Psychology ◽  
Statistical Tests ◽  
Experimental Studies ◽  
The Past ◽  
Subject Selection ◽  
Research Areas ◽  
Time Period ◽  
Methodological Problems ◽  
The Common ◽  
Single Set

In the past 7 years JSP has evolved to become a respected sport psychology journal. The journal has been uncompromising in the strong research posture it has taken. It is currently the only journal entirely devoted to sport psychology that uses a single set of criteria for evaluating the scientific merit of submitted manuscripts. Over this time period the submitted manuscripts have shown an increase in the number of female principal authors as well as authors being affiliated with departments other than physical education. Survey studies were the most common submittals, but lately there has been a greater emphasis in field experimental studies. Some potential problem areas are noted in subject selection and choice of statistical tests. An examination of research areas revealed that in recent years "motivation" was the most frequently submitted topic. It appeared that other research areas varied in terms of their publishability. The common methodological problems associated with rejection of these types of manuscripts are discussed.

Biological correlates of personality: considerations on the possible usefulness of central nervous system peripheral markers

1993 ◽  
Vol 8 (3) ◽  
pp. 115-124 ◽  
Author(s):  
P Castrogiovanni ◽  
F Pieraccini ◽  
I Maremmani ◽  
D Marazziti
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Psychiatric Disorders ◽  
Human Studies ◽  
Biological Research ◽  
The Central Nervous System ◽  
Methodological Problems ◽  
Biological Substrates ◽  
Peripheral Markers ◽  
Made In

SummaryAlthough a great deal of biological research has been carried out on several psychiatric disorders, it is disappointing to see how little progress has been made in the field of the biology of personality. The authors underline the methodological problems that arise in the investigation of biological substrates of human personality and review both currently available and putative peripheral markers of the central nervous system that might be used in further human studies.

scholarly journals Temporally precise control of single-neuron spiking by juxtacellular nanostimulation

2017 ◽  
Vol 117 (3) ◽  
pp. 1363-1378 ◽  
Author(s):  
Maik C. Stüttgen ◽  
Lourens J. P. Nonkes ◽  
H. Rüdiger A. P. Geis ◽  
Paul H. Tiesinga ◽  
Arthur R. Houweling
Keyword(s):  
Short Duration ◽  
Cortical Neurons ◽  
Action Potentials ◽  
Neural Coding ◽  
Spike Trains ◽  
Precise Control ◽  
Neuronal Spike Trains ◽  
The Impact ◽  
Activity Dependent

Temporal patterns of action potentials influence a variety of activity-dependent intra- and intercellular processes and play an important role in theories of neural coding. Elucidating the mechanisms underlying these phenomena requires imposing spike trains with precisely defined patterns, but this has been challenging due to the limitations of existing stimulation techniques. Here we present a new nanostimulation method providing control over the action potential output of individual cortical neurons. Spikes are elicited through the juxtacellular application of short-duration fluctuating currents (“kurzpulses”), allowing for the sub-millisecond precise and reproducible induction of arbitrary patterns of action potentials at all physiologically relevant firing frequencies (<120 Hz), including minute-long spike trains recorded in freely moving animals. We systematically compared our method to whole cell current injection, as well as optogenetic stimulation, and show that nanostimulation performance compares favorably with these techniques. This new nanostimulation approach is easily applied, can be readily performed in awake behaving animals, and thus promises to be a powerful tool for systematic investigations into the temporal elements of neural codes, as well as the mechanisms underlying a wide variety of activity-dependent cellular processes. NEW & NOTEWORTHY Assessing the impact of temporal features of neuronal spike trains requires imposing arbitrary patterns of spiking on individual neurons during behavior, but this has been difficult to achieve due to limitations of existing stimulation methods. We present a technique that overcomes these limitations by using carefully designed short-duration fluctuating juxtacellular current injections, which allow for the precise and reliable evocation of arbitrary patterns of neuronal spikes in single neurons in vivo.

scholarly journals Use of Non-Parametric Approaches on Normality of Hydrologic Variables

2018 ◽  
Vol 6 (8) ◽  
pp. 1030
Author(s):  
Kadri Yürekli ◽  
Müberra Erdoğan ◽  
Mehmet Murat Cömert
Keyword(s):  
Statistical Analysis ◽  
Statistical Tests ◽  
The Other ◽  
Data Sets ◽  
Seasonal Maximum ◽  
Kolmogorov Smirnov ◽  
Anderson Darling ◽  
Made In ◽  
Non Parametric ◽  
Normally Distributed

Parametric approaches in statistical analysis assume that any given data are normally distributed. Therefore, the test of whether this conventional assumption is valid should be made in this context of the available data’s normality before being passed to the application of statistical tests. The paper is focused on the normality methodologies commonly used in literature, named Kolmogorov-Smirnov, Jarque-Bera, D’agostino, Anderson Darling, Shapiro-Wilk and Ryan Joiner. In the study, the seasonal maximum data from eight streamflow gauging stations in Yesilirmak Basin was used as material. The normality in the 59% of the whole data sets were obtained as the highest result by the Kolmogorov –Smirnov approach, when compared to the other normality tests considered in the study.

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