Analysis of neural networks in subcortical visual structures using correlation methods

Andrzej T. Foik; Jan Popiołkiewicz; Katarzyna Żeber; Paulina Urban; Marek Bekisz; Andrzej Wróbel; Wioletta J. Waleszczyk

doi:10.1117/12.2075352

25 November 2014 Analysis of neural networks in subcortical visual structures using correlation methods

Andrzej T. Foik, Jan Popiołkiewicz, Katarzyna Żeber, Paulina Urban, Marek Bekisz, Andrzej Wróbel, Wioletta J. Waleszczyk

Author Affiliations +

Proceedings Volume 9290, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2014; 92901W (2014) https://doi.org/10.1117/12.2075352
Event: Symposium on Photonics Applications in Astronomy, Communications, Industry and High-Energy Physics Experiments, 2014, Warsaw, Poland

Abstract

Correlation methods were used to characterize the activity of single neurons and network connections in three subcortical structures of the cat visual system. Autocorrelation analysis performed on spike trains of single cells recorded from the lateral geniculate and perigeniculate nuclei showed the presence of bursts of high-frequency oscillations ranging from 100 to 550 Hz in their spontaneous activity. Autocorrelation performed on spike trains of single cells recorded from the superior colliculus also revealed oscillations, but in the frequency range of 10 - 90 Hz, both in the spontaneous and visually evoked neuronal activity. The presence of oscillations was confirmed with spectral analysis and a shift predictor was used to distinguish between stimulus-locked and stimulus-independent oscillations in visually evoked activities. Additionally, a crosscorrelation analysis performed on two spike trains recorded from the same electrode or pairs of electrodes in the superior colliculus, revealed a common input from an external source and the presence of inhibitory interactions in the neuronal network.

Citation Download Citation

Andrzej T. Foik, Jan Popiołkiewicz, Katarzyna Żeber, Paulina Urban, Marek Bekisz, Andrzej Wróbel, and Wioletta J. Waleszczyk "Analysis of neural networks in subcortical visual structures using correlation methods ", Proc. SPIE 9290, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2014, 92901W (25 November 2014); https://doi.org/10.1117/12.2075352

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Visualization

Neurons

Visual analytics

Magnesium

Electrodes

Neural networks

Optogenetics

Show All Keywords

Keywords/Phrases

Search In:

Publication Years