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This article is part of the supplement: Twentieth Annual Computational Neuroscience Meeting: CNS*2011

Open Access Poster presentation

Laminar population analysis of multielectrode recordings from rat primary auditory cortex

Eivind S Norheim1*, Francois D Szymanski23, Klas H Pettersen1, Ulf G Indahl2, Jan WH Schnupp3 and Gaute T Einevoll1

Author Affiliations

1 Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, Ås, Norway

2 Robotics, Brain, and Cognitive Sciences Department, Italian Institute of Technology, Genova, Italy

3 Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK

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BMC Neuroscience 2011, 12(Suppl 1):P87  doi:10.1186/1471-2202-12-S1-P87


The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2202/12/S1/P87


Published:18 July 2011

© 2011 Norheim et al; licensee BioMed Central Ltd.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Poster presentation

The technology for large-scale electrical recordings is rapidly improving, and extracellular recordings with multielectrode arrays now offer a unique window into neural activity at the population level. The high-frequency part of the recorded signal (MUA; multi-unit activity) is a measure of action-potential firing of neurons in the immediate vicinity of the electrode contacts, while the low-frequency part (LFP; local-field potential) appears to mainly be a measure of subthreshold dendritic activity of surrounding neurons [1,2]. The interpretation of MUA and LFP signals in terms of neural circuit activity is not straightforward, however, and new analysis methods are needed to take full advantage of the technological developments.

Laminar population analysis (LPA) [1] was introduced a few years ago as a new method for extracting information about population activity. Based on physiologically-constrained joint modeling of the MUA and LFP signals, both the (i) laminar organization and time-resolved firing rates of the main cortical populations, and (ii) the functional synaptic connection patterns between these populations, were estimated. Later, the population firing-rates extracted by means of LPA were used to specify mathematical neural-network models describing thalamocortical and intracortical connections between neural populations in the rat somatosensory (barrel) system [3].

In Ref. [1] LPA was used to analyze stimulus-averaged laminar (linear) electrode data from the rat barrel system, and the predicted time-resolved population firing rates and synaptic connection patterns were found to be in qualitative agreement with previous experimental findings. Here we apply LPA to recently recorded laminar-electrode data from the primary auditory cortex of rats [4]. In this study the rats were exposed to a large variety of different auditory stimuli to investigate the phenomenon known as ‘stimulus-specific adaptation’, i.e., that neurons respond stronger to unexpected stimuli. Such rich data sets where the cortical neural circuits of interest potentially exhibit a large variety of activation patterns, are particularly well suited for analysis by means of LPA. Results from LPA analysis will be presented, highlighting the differences and similarities seen between the sensory-evoked cortical response patterns in primary auditory and somatosensory cortices of rats.

Acknowledgements

This work is supported by the Research Council of Norway (eVita [eNEURO], NOTUR), the UK Engineering and Physical Sciences Research Council grant EP/C010841/1, the European Union FP6 ‘Noveltune’ grant (LSH-CT-2006-037378) and the BMI project of the Italian Institute of Technology.

References

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  2. Pettersen KH, Hagen E, Einevoll GT: Estimation of population firing rates and current source densities from laminar electrode recordings.

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  3. Blomquist P, Devor A, Indahl UG, Ulbert I, Einevoll GT, Dale AM: Estimation of thalamocortical and intracortical network models from joint thalamic single-electrode and cortical laminar-electrode recordings in the rat barrel system.

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