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Detecting joint pausiness in parallel spike trains.

Matthias Gärtner¹, Sevil Duvarci², Jochen Roeper²

¹Institute of Mathematics, Johann Wolfgang Goethe University, 60325 Frankfurt (Main), Germany.

Journal of Neuroscience Methods

|May 13, 2017

Summary

Researchers developed a new method to analyze synchronous pauses in neuronal activity, revealing joint excess pausing (JEP) in dopamine neurons. This advance offers new insights into neural communication and reward processing.

Keywords:

Parallel spike trains Pause Pause detection Point processes Spike train model Synchrony

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Area of Science:

Neuroscience
Computational Neuroscience
Data Analysis

Background:

Neuronal pauses, periods of reduced firing, are crucial teaching signals in dopamine neurons.
Simultaneous pauses in neuronal activity may significantly impact information processing.

Purpose of the Study:

To introduce a novel method for quantifying synchronous pausing between neuronal spike trains.
To overcome limitations of existing threshold-dependent methods for detecting joint pauses.

Main Methods:

Developed 'pausiness' statistic and 'cross-pauseogram' for analyzing synchronous pausing.
Utilized a stochastic model with synchronous spikes to identify 'joint excess pausing' (JEP).
Employed auto- and cross-correlograms for parameter estimation and significance testing.

Main Results:

Applied the new method to dopamine neuron pairs in awake mice.
Detected significant JEP in approximately 20% of recorded dopamine neuron pairs.

Conclusions:

The analysis of JEP provides novel insights into the activity of simultaneously recorded neurons.
This method enhances understanding of neural integration and information processing, particularly in reward pathways.