107 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Electronic Science and Technology of ChinaCN10 papers
- Instituto de Cibernética Matemática y FísicaCU3 papers
- University of Pinar del RíoCU3 papers
- McGill UniversityCA2 papers
- Tohoku UniversityJP2 papers
- University of HavanaCU2 papers
- University of Modena and Reggio EmiliaIT2 papers
- Allen InstituteUS1 paper
- Boğaziçi UniversityTR1 paper
- Central Bank of the Russian FederationRU1 paper
- Concordia UniversityCA1 paper
- Duke UniversityUS1 paper
15 papers
Cognitive Architecture for Decision-Making Based on Brain Principles Programming (in Russian)
Anton Kolonin, Andrey Kurpatov, Artem Molchanov +1
We describe a cognitive architecture intended to solve a wide range of problems based on the five identified principles of brain activity, with their implementation in three subsys…
Estimating the number of available states for normal and tumor tissues in gene expression space
Augusto Gonzalez, Frank Quintela, Dario A. Leon +2
The topology of gene expression space for a set of 12 cancer types is studied by means of an entropy-like magnitude, which allows the characterization of the regions occupied by tu…
Third Generation MEEG Source Connectivity Analysis Toolbox (BC-VARETA 1.0) and Validation Benchmark
Eduardo Gonzalez-Moreira, Deirel Paz-Linares, Ariosky Areces-Gonzalez +2
This paper presents a new toolbox for MEEG source activity and connectivity estimation: Brain Connectivity Variable Resolution Tomographic Analysis version 1.0 (BC-VARETA 1.0). It…
Identification of oscillatory brain networks with Hidden Gaussian Graphical Spectral models of EEG/MEG
Deirel Paz-Linares, Eduardo Gonzalez-Moreira, Ariosky Areces-Gonzalez +7
Identifying the functional networks underpinning indirectly observed processes poses an inverse problem for neurosciences or other fields. A solution of such inverse problems estim…
Caulking the Leakage Effect in MEEG Source Connectivity Analysis
Eduardo Gonzalez-Moreira, Deirel Paz-Linares, Ariosky Areces-Gonzalez +4
Simplistic estimation of neural connectivity in MEEG sensor space is impossible due to volume conduction. The only viable alternative is to carry out connectivity estimation in sou…
NeuroStorm: Accelerating Brain Science Discovery in the Cloud
Gregory Kiar, Robert J. Anderson, Alex Baden +24
Neuroscientists are now able to acquire data at staggering rates across spatiotemporal scales. However, our ability to capitalize on existing datasets, tools, and intellectual capa…
Unified Bayesian estimator of EEG reference at infinity: rREST
Shiang Hu, Dezhong Yao, Pedro A. Valdes-Sosa
The choice of reference for electroencephalogram (EEG) is a long-lasting unsolved issue resulting in inconsistent usages and endless debates. Currently, both average reference (AR)…
Gene expression rearrangements denoting changes in the biological state
Augusto Gonzalez, Joan Nieves, Maria Luisa Bringas Vega +1
In many situations, the gene expression signature is a unique marker of the biological state. We study the modification of the gene expression distribution function when the biolog…
Empirical bayes formulation of the elastic net and mixed-norm models: application to the eeg inverse problem
Deirel Paz-Linares, Mayrim Vega-Hernández, Pedro A. Rojas-López +2
The estimation of EEG generating sources constitutes an Inverse Problem (IP) in Neuroscience. This is an ill-posed problem, due to the non-uniqueness of the solution, and many kind…
Validating non-invasive EEG source imaging using optimal electrode configurations on a representative rat head model
Pedro A. Valdes-Hernandez, Jihye Bae, Yinchen Song +3
The curtain of technical limitations impeding rat multichannel non-invasive electroencephalography (EEG) has risen. Given the importance of this preclinical model, development and…
Tensor Analysis and Fusion of Multimodal Brain Images
Esin Karahan, Pedro A. Rojas-Lopez, Maria L. Bringas-Vega +2
Current high-throughput data acquisition technologies probe dynamical systems with different imaging modalities, generating massive data sets at different spatial and temporal reso…
Bidirectional Control of Absence Seizures by the Basal Ganglia: A Computational Evidence
Mingming Chen, Daqing Guo, Tiebin Wang +6
Absence epilepsy is believed to be associated with the abnormal interactions between the cerebral cortex and thalamus. Besides the direct coupling, anatomical evidence indicates th…
Spatio-temporal Granger causality: a new framework
Qiang Luo, Wenlian Lu, Wei Cheng +4
That physiological oscillations of various frequencies are present in fMRI signals is the rule, not the exception. Herein, we propose a novel theoretical framework, spatio-temporal…
Locally Linearized Runge Kutta method of Dormand and Prince
Juan Carlos Jimenez, Alina Sotolongo, Jose Miguel Sanchez-Bornot
In this paper, the effect that produces the local linearization of the embedded Runge-Kutta formulas of Dormand and Prince for initial value problems is studied. For this, embedded…
Cortical current source connectivity by means of partial coherence fields
Roberto D. Pascual-Marqui, Rolando J. Biscay, Pedro A. Valdes-Sosa +2
An important field of research in functional neuroimaging is the discovery of integrated, distributed brain systems and networks, whose different regions need to work in unison for…