Epilepsy as a disorder of cortical network organization
The brain is naturally considered as a network of interacting elements which, when functioning
properly, produces an enormous range of dynamic, adaptable behavior. However, when …
properly, produces an enormous range of dynamic, adaptable behavior. However, when …
[PDF][PDF] Beyond the connectome: the dynome
The human connectome will provide a detailed mapping of the brain's connectivity, with
fundamental insights for health and disease. However, further understanding of brain function …
fundamental insights for health and disease. However, further understanding of brain function …
[HTML][HTML] Are different rhythms good for different functions?
This essay discusses the relationship between the physiology of rhythms and potential
functional roles. We focus on how the biophysics underlying different rhythms can give rise to …
functional roles. We focus on how the biophysics underlying different rhythms can give rise to …
Nonlinear principal component analysis using autoassociative neural networks
MA Kramer - AIChE journal, 1991 - Wiley Online Library
Nonlinear principal component analysis is a novel technique for multivariate data analysis,
similar to the well‐known method of principal component analysis. NLPCA, like PCA, is used …
similar to the well‐known method of principal component analysis. NLPCA, like PCA, is used …
Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task
Oscillatory rhythms in different frequency ranges mark different behavioral states and are
thought to provide distinct temporal windows that coherently bind cooperating neuronal …
thought to provide distinct temporal windows that coherently bind cooperating neuronal …
Modeling chemical processes using prior knowledge and neural networks
ML Thompson, MA Kramer - AIChE Journal, 1994 - Wiley Online Library
We present a method for synthesizing chemical process models that combines prior
knowledge and artificial neural networks. The inclusion of prior knowledge is investigated as a …
knowledge and artificial neural networks. The inclusion of prior knowledge is investigated as a …
Autoassociative neural networks
MA Kramer - Computers & chemical engineering, 1992 - Elsevier
… (1) and (2) represents a nonlinear generalization of principal component analysis (Kramer, …
Kramer MA, Nonlinear principal component analysis using autoassociative neural networks. …
Kramer MA, Nonlinear principal component analysis using autoassociative neural networks. …
Rhizosphere processes are quantitatively important components of terrestrial carbon and nutrient cycles
…, ER Brzostek, BA Darby, MA Kramer… - Global change …, 2015 - Wiley Online Library
While there is an emerging view that roots and their associated microbes actively alter resource
availability and soil organic matter ( SOM ) decomposition, the ecosystem consequences …
availability and soil organic matter ( SOM ) decomposition, the ecosystem consequences …
Age-related changes in 1/f neural electrophysiological noise
Aging is associated with performance decrements across multiple cognitive domains. The
neural noise hypothesis, a dominant view of the basis of this decline, posits that aging is …
neural noise hypothesis, a dominant view of the basis of this decline, posits that aging is …
Radial basis function networks for classifying process faults
JA Leonard, MA Kramer - IEEE Control Systems Magazine, 1991 - ieeexplore.ieee.org
It is shown that under certain conditions the backpropagation network classifier can produce
nonintuitive, nonrobust decision surfaces. These result from the inherent nature of the …
nonintuitive, nonrobust decision surfaces. These result from the inherent nature of the …