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Processing and Statistical Analysis of Single-Neuron Recordings Doctoral Thesis

Title: Processing and Statistical Analysis of Single-Neuron Recordings Doctoral Thesis
Authors: Mgr Tomáš Sieger; Phd Study; Programme P Electrotechnics; Supervisor Prof; Rndr Olga Štěpánková; Supervisor-specialist Mudr; Robert Jech
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://cyber.felk.cvut.cz/teaching/radaUIB/thesis_sieger.pdf.
Publication Year: 2013
Collection: CiteSeerX
Description: The human brain is one of the most fascinating and complex sys-tems in the universe, consisting of an enormous number of 1011 neu-rons and 1014 synapses. While recently the experimental research of the living human brain has been mostly limited to studying only the overall activity of large neuronal populations, new opportunities to record the activity of individual neurons of the living brain rise, being enabled by medical and technological advances. However, these ad-vances need to be reflected in methods allowing to process and analyse the recorded data. The aim of this thesis is to contribute to bridging the gap from single-neuron recordings to clinical relevance. The thesis consists of two parts. First, it strives to contribute to the state of the art methods of processing and analysis of single-neuron recordings. An original software framework was designed and im-plemented enabling automated processing and access to data. To ease
Document Type: text
File Description: application/pdf
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.474.299; http://cyber.felk.cvut.cz/teaching/radaUIB/thesis_sieger.pdf
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.474.299; http://cyber.felk.cvut.cz/teaching/radaUIB/thesis_sieger.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.F6C9BF57
Database: BASE