Methods for identification of spike patterns in massively parallel spike trains
Temporally, precise correlations between simultaneously recorded neurons have been
interpreted as signatures of cell assemblies, ie, groups of neurons that form processing …
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 …
(Gerstein et al. 1985)—were evaluated for their ability to detect synchronous cell assemblies …
Efficient identification of assembly neurons within massively parallel spike trains
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 …
large numbers of neurons are recorded simultaneously. Although such massively parallel …
Impact of higher-order correlations on coincidence distributions of massively parallel data
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 …
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 …
of synchronous firings in multiple, simultaneously recorded, spike trains. This technique …
Unitary event analysis
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 …
assemblies”) by the temporal structure of their joint spiking activity. The Unitary Events …
Complexity distribution as a measure for assembly size and temporal precision
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 …
importance in understanding computational processes in the cortex and represents a …
ASSET: analysis of sequences of synchronous events in massively parallel spike trains
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 …
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 …
spatiotemporal firing patterns and pattern sequences in parallel spike trains and tests …
Unitary events in multiple single-neuron spiking activity: I. Detection and significance
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 …
assemblies) by the temporal structure of their joint spiking activity. Here, we describe a novel …