Methods for identification of spike patterns in massively parallel spike trains

P Quaglio, V Rostami, E Torre, S Grün - Biological cybernetics, 2018 - Springer
Temporally, precise correlations between simultaneously recorded neurons have been
interpreted as signatures of cell assemblies, ie, groups of neurons that form processing …

Detecting synchronous cell assemblies with limited data and overlapping assemblies

G Strangman - Neural computation, 1997 - direct.mit.edu
Two statistical methods—cross-correlation (Moore et al. 1966) and gravity clustering
(Gerstein et al. 1985)—were evaluated for their ability to detect synchronous cell assemblies …

Efficient identification of assembly neurons within massively parallel spike trains

D Berger, C Borgelt, S Louis… - Computational …, 2010 - Wiley Online Library
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 …

Impact of higher-order correlations on coincidence distributions of massively parallel data

S Grün, M Abeles, M Diesmann - Dynamic Brain-from Neural Spikes to …, 2008 - Springer
The signature of neuronal assemblies is the higher-order correlation structure of the spiking
activity of the participating neurons. Due to the rapid progress in recording technology the …

The correlation grid: analysis of synchronous spiking in multi-dimensional spike train data and identification of feasible connection architectures

L Stuart, M Walter, R Borisyuk - Biosystems, 2005 - Elsevier
This paper presents a visualization technique specifically designed to support the analysis
of synchronous firings in multiple, simultaneously recorded, spike trains. This technique …

Unitary event analysis

S Grün, M Diesmann, A Aertsen - Analysis of parallel spike trains, 2010 - Springer
It has been proposed that cortical neurons organize dynamically into functional groups (“cell
assemblies”) by the temporal structure of their joint spiking activity. The Unitary Events …

Complexity distribution as a measure for assembly size and temporal precision

S Louis, C Borgelt, S Grün - Neural Networks, 2010 - Elsevier
The efficient detection of higher-order synchronization in massively parallel data is of great
importance in understanding computational processes in the cortex and represents a …

ASSET: analysis of sequences of synchronous events in massively parallel spike trains

E Torre, C Canova, M Denker, G Gerstein… - PLoS computational …, 2016 - journals.plos.org
With the ability to observe the activity from large numbers of neurons simultaneously using
modern recording technologies, the chance to identify sub-networks involved in coordinated …

Detecting multineuronal temporal patterns in parallel spike trains

KS Gansel, W Singer - Frontiers in neuroinformatics, 2012 - frontiersin.org
We present a non-parametric and computationally efficient method that detects
spatiotemporal firing patterns and pattern sequences in parallel spike trains and tests …

Unitary events in multiple single-neuron spiking activity: I. Detection and significance

S Grün, M Diesmann, A Aertsen - Neural computation, 2002 - ieeexplore.ieee.org
It has been proposed that cortical neurons organize dynamically into functional groups (cell
assemblies) by the temporal structure of their joint spiking activity. Here, we describe a novel …