loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Andoni Mujika ; Peter Leškovský ; Gorka Epelde ; Roberto Alvarez and David Oyarzun

Affiliation: Vicomtech-ik4, Spain

ISBN: 978-989-758-161-8

Keyword(s): Neuronal Activity Visualization, WebGL, C. elegans.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Life ; Computational Intelligence ; Evolutionary Computing ; Health Engineering and Technology Applications ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Soft Computing

Abstract: This paper describes the design and development of a web interface used for an analysis of neural activities of the Caenorhabditis elegans (C. elegans) nematode, within the framework of the Si elegans project. The Si elegans project develops a platform, where the neural system of C. elegans is emulated in hardware and the physical worm together with the external environment is simulated in software. This platform allows for virtual execution of a variety of behavioural experiments of C. elegans. We use the herein described web interface to post-experimentally visualize the neural activity as well as the worm’s behaviour and allow for its deeper analysis. The web-page joins a 3D virtual environment with the 2D GUI in order to realistically visualize the worm and the emulated neural processes, along with additional configuration information. In the virtual environment, the locomotion of the worm is shown, including the motion of neurons. Visualizing the location of the neurons, the user can understand signal transmission among the neurons in a more intuitive way. In the 2D part, additional information about the neurons is displayed. Mainly, a grid of buttons that shows the actual spiking process of the neurons by colour changes and neuron specific voltage graphs following the potential evolution of selected neurons. We believe that this approach suits the exploration of small neuronal circuits, like is the ones of C. elegans. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.172.195.49

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Mujika, A.; Leškovský, P.; Epelde, G.; Alvarez, R. and Oyarzun, D. (2015). Neuronal Activity Visualization using Biologically Accurately Placed Neurons in WebGL.In Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX, ISBN 978-989-758-161-8, pages 91-96. DOI: 10.5220/0005603600910096

@conference{neurotechnix15,
author={Andoni Mujika. and Peter Leškovský. and Gorka Epelde. and Roberto Alvarez. and David Oyarzun.},
title={Neuronal Activity Visualization using Biologically Accurately Placed Neurons in WebGL},
booktitle={Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX,},
year={2015},
pages={91-96},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005603600910096},
isbn={978-989-758-161-8},
}

TY - CONF

JO - Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX,
TI - Neuronal Activity Visualization using Biologically Accurately Placed Neurons in WebGL
SN - 978-989-758-161-8
AU - Mujika, A.
AU - Leškovský, P.
AU - Epelde, G.
AU - Alvarez, R.
AU - Oyarzun, D.
PY - 2015
SP - 91
EP - 96
DO - 10.5220/0005603600910096

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.