A5007715218- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Complex Systems and Time Series Analysis
- Optical Imaging and Spectroscopy Techniques
- Complex Network Analysis Techniques
- Advanced Chemical Physics Studies
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
- Theoretical and Computational Physics
University of Zanjan
2023
Universidad Nacional de Córdoba
2020
Centro Científico Tecnológico - Córdoba
2019
Institute for Advanced Studies in Basic Sciences
2015
Signals from brain functional magnetic resonance imaging (fMRI) can be efficiently represented by a sparse spatiotemporal point process, according to recently introduced heuristic signal processing scheme. This approach has already been validated for relevant conditions, demonstrating that it preserves and compresses surprisingly large fraction of the information. Here we investigated conditions necessary such an succeed, as well underlying reasons, using real fMRI data simulated dataset....
Evidence of critical dynamics has been found recently in both experiments and models large-scale brain dynamics. The understanding the nature features such a regime is hampered by relatively small size available connectome, which prevents, among other things, determination its associated universality class. To circumvent that, here we study neural model defined on class small-world networks that share some topological with human connectome. We find varying parameters can give rise to...
An heuristic signal processing scheme recently introduced shows how brain signals can be efficiently represented by a sparse spatiotemporal point process. The approach has been validated already for different relevant conditions demonstrating that preserves and compress surprisingly large fraction of the information. In this paper such compression to succeed are investigated as well underlying reasons good performance. results show key lies in correlation properties time series under...
Recently, the similarity of functional network brain and Ising model was investigated by Chialvo [Nat. Phys. 6, 744 (2010)]. This supports idea that is a self-organized critical system. In this study we derive two-dimensional Bak-Tang-Wiesenfeld sandpile as model, compare its characteristics with those brain, obtained from magnetic resonance imaging.
Organic alcohols as very volatile compounds play a crucial role in the air quality of atmosphere. So, removal processes such are an important atmospheric challenge. The main goal this research is to discover relevance degradation paths linear by imidogen with aid simulation quantum mechanical (QM) methods. To end, we combine broad mechanistic and kinetic results get more accurate information have deeper insight into behavior designed reactions. Thus, necessary reaction pathways explored...