A5048212809- Neural dynamics and brain function
- Mental Health and Psychiatry
- Neural Networks and Applications
- Chaos control and synchronization
- EEG and Brain-Computer Interfaces
- Psychotherapy Techniques and Applications
- Nonlinear Dynamics and Pattern Formation
- Blind Source Separation Techniques
- Traumatic Brain Injury Research
- Complex Systems and Time Series Analysis
- Gene Regulatory Network Analysis
- Functional Brain Connectivity Studies
- stochastic dynamics and bifurcation
- Plant and Biological Electrophysiology Studies
- Fractal and DNA sequence analysis
- thermodynamics and calorimetric analyses
- Mental Health Research Topics
- Traumatic Brain Injury and Neurovascular Disturbances
- Psychosomatic Disorders and Their Treatments
- Cellular Automata and Applications
- Heart Rate Variability and Autonomic Control
- Memory and Neural Mechanisms
- Slime Mold and Myxomycetes Research
- Fault Detection and Control Systems
- Neuroscience and Neuropharmacology Research
University of California, Irvine
2023-2025
Uniformed Services University of the Health Sciences
2013-2023
Unifor
2007-2023
Henry M. Jackson Foundation
2017
Cambridge Cognition (United Kingdom)
2013
Drexel University
1994-2008
College Medical Center
2005
Naval Medical Research Command
2005
Norristown State Hospital
1997-2003
Allegheny College
1996-1997
A singular-value decomposition leads to a set of statistically independent variables which are used in the Grassberger-Procaccia algorithm calculate correlation dimension an attractor from scalar time series. This combination alleviates some difficulties associated with each technique when alone, and can significantly reduce computational cost estimating dimensions
This contribution presents four results. First, calculations indicate that when examined by the Grassberger-Procaccia algorithm alone, filtered noise can mimic low-dimensional chaotic attractors. Given ubiquity of signal filtering in experimental investigations, this is potentially important. Second, a criterion derived which provides an estimate minimum data accuracy needed to resolve dimension attractor. Third, it shown Eckmann and Ruelle [Physica D 56, 185 (1992)] number points required...
Given two time series $X$ and $Y$, their mutual information, $I(X,Y)=I(Y,X)$, is the average number of bits that can be predicted by measuring $Y$ vice versa. In analysis observational data, calculation information occurs in three contexts: identification nonlinear correlation, determination an optimal sampling interval, particularly when embedding investigation causal relationships with directed information. this contribution a minimum description length argument used to determine elements...
ABSTRACT The effects of the hormone 5-hydroxytryptamine, its analogues and antagonists on electrical activity secretion rate isolated salivary glands blowfly Calliphora erythrocephala were investigated. increases linearly with logarithm concentration between 10−9 10−8M. At >10−8M transepithelial potential depolarizes rapidly attains a new stable value. However, at intermediate concentrations, does not maintain value but displays sustained oscillations. These oscillations are an...
Abstract Only recently have more specific circuit-probing techniques become available to inform previous reports implicating the rodent hippocampus in orexigenic appetitive processing 1–4 . This function has been reported be mediated at least part by lateral hypothalamic inputs, including those involving neuropeptides, such as melanin-concentrating hormone 5,6 circuit, however, remains elusive humans. Here we combine tractography, intracranial electrophysiology, cortico-subcortical evoked...
Embedding experimental data is a common first step in many forms of dynamical analysis. The choice appropriate embedding parameters (dimension and lag) crucial to the success subsequent We argue here that optimal time series cannot be determined by criteria based solely on itself. Therefore we base our analysis an examination systems have explicit analytic representations. A comparison analytically obtained results with those corresponding provides means assessing comparative different...
It has been shown that the appropriate setting of data windows is crucial to a successful estimation time-series correlation dimension using Grassberger-Procaccia algorithm [Physica 9D, 189 (1983); Phys. Rev. Lett. 50, 346 (1983)], and it proposed first minimum corresponding mutual-information function may be an window value. We have tested this hypothesis against generated by R\"ossler equations, Lorenz three-dimensional irrational torus. conclude mutual information not consistently in...
The "Other-Race Effect" (ORE) refers to the enhanced memory individuals have for faces within their own racial group compared other races. This effect is attributed limited exposure different races and social-motivational factors affecting face processing. While past research has explored this through neuroimaging methods, precise neural mechanisms that underlie ORE remain a subject of ongoing investigation. Previous studies largely adopted modular perspective, concentrating on differential...
Pigs continue to grow in importance as a tool neuroscience. However, behavioral tests that have been validated the rodent model do not translate well pigs because of their very different responses stimuli. We refined metrics for assessing porcine open field behavior detect wide spectrum clinically relevant behaviors piglet post-traumatic brain injury (TBI). Female neonatal piglets underwent rapid non-impact head rotation sagittal plane (n=8 evaluable) or were instrumented shams (n=7...