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Previous issue date: 2011-03-03 / Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico / Following the new tendency of interdisciplinarity of modern science, a new field
called neuroengineering has come to light in the last decades. After 2000, scientific
journals and conferences all around the world have been created on this theme. The
present work comprises three different subareas related to neuroengineering and
electrical engineering: neural stimulation; theoretical and computational neuroscience;
and neuronal signal processing; as well as biomedical engineering.
The research can be divided in three parts: (i) A new method of neuronal
photostimulation was developed based on the use of caged compounds. Using the
inhibitory neurotransmitter GABA caged by a ruthenium complex it was possible to
block neuronal population activity using a laser pulse. The obtained results were
evaluated by Wavelet analysis and tested by non-parametric statistics. (ii) A
mathematical method was created to identify neuronal assemblies. Neuronal assemblies
were proposed as the basis of learning by Donald Hebb remain the most accepted theory
for neuronal representation of external stimuli. Using the Marcenko-Pastur law of
eigenvalue distribution it was possible to detect neuronal assemblies and to compute
their activity with high temporal resolution. The application of the method in real
electrophysiological data revealed that neurons from the neocortex and hippocampus
can be part of the same assembly, and that neurons can participate in multiple
assemblies. (iii) A new method of automatic classification of heart beats was developed,
which does not rely on a data base for training and is not specialized in specific
pathologies. The method is based on Wavelet decomposition and normality measures
of random variables.
Throughout, the results presented in the three fields of knowledge represent
qualification in neural and biomedical engineering / Following the new tendency of interdisciplinarity of modern science, a new field
called neuroengineering has come to light in the last decades. After 2000, scientific
journals and conferences all around the world have been created on this theme. The
present work comprises three different subareas related to neuroengineering and
electrical engineering: neural stimulation; theoretical and computational neuroscience;
and neuronal signal processing; as well as biomedical engineering.
The research can be divided in three parts: (i) A new method of neuronal
photostimulation was developed based on the use of caged compounds. Using the
inhibitory neurotransmitter GABA caged by a ruthenium complex it was possible to
block neuronal population activity using a laser pulse. The obtained results were
evaluated by Wavelet analysis and tested by non-parametric statistics. (ii) A
mathematical method was created to identify neuronal assemblies. Neuronal assemblies
were proposed as the basis of learning by Donald Hebb remain the most accepted theory
for neuronal representation of external stimuli. Using the Marcenko-Pastur law of
eigenvalue distribution it was possible to detect neuronal assemblies and to compute
their activity with high temporal resolution. The application of the method in real
electrophysiological data revealed that neurons from the neocortex and hippocampus
can be part of the same assembly, and that neurons can participate in multiple
assemblies. (iii) A new method of automatic classification of heart beats was developed,
which does not rely on a data base for training and is not specialized in specific
pathologies. The method is based on Wavelet decomposition and normality measures
of random variables.
Throughout, the results presented in the three fields of knowledge represent
qualification in neural and biomedical engineering
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/15354 |
| Date | 03 March 2011 |
| Creators | Santos, V?tor Lopes dos |
| Contributors | CPF:59184574453, http://lattes.cnpq.br/0050402182466103, Silva, Mauro Copelli Lopes da, CPF:12817881800, http://lattes.cnpq.br/9400915429521069, Ribeiro, Sidarta Tollendal Gomes, Brand?o, Gl?ucio Bezerra |
| Publisher | Universidade Federal do Rio Grande do Norte, Programa de P?s-Gradua??o em Engenharia El?trica, UFRN, BR, Automa??o e Sistemas; Engenharia de Computa??o; Telecomunica??es |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
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