scholarly journals A Nonequilibrium-Potential Approach to Competition in Neural Populations

2019 ◽  
Vol 6 ◽  
Author(s):  
Roberto R. Deza ◽  
Ignacio Deza ◽  
Nataniel Martínez ◽  
Jorge F. Mejías ◽  
Horacio S. Wio
Keyword(s):  
Potential Approach ◽  
Neural Populations ◽  
Nonequilibrium Potential

Multitarget Opioid/Non-opioid Ligands: A Potential Approach in Pain Management

2016 ◽  
Vol 23 (40) ◽  
pp. 4506-4528 ◽  
Author(s):  
Rita Turnaturi ◽  
Giuseppina Arico ◽  
Giuseppe Ronsisvalle ◽  
Lorella Pasquinucci ◽  
Carmela Parenti
Keyword(s):  
Pain Management ◽  
Potential Approach ◽  
Opioid Ligands

Biofertilizers: a potential approach for sustainable agriculture development

2016 ◽  
Vol 24 (4) ◽  
pp. 3315-3335 ◽  
Author(s):  
Trishna Mahanty ◽  
Surajit Bhattacharjee ◽  
Madhurankhi Goswami ◽  
Purnita Bhattacharyya ◽  
Bannhi Das ◽  
...  
Keyword(s):  
Sustainable Agriculture ◽  
Potential Approach ◽  
Agriculture Development

scholarly journals Relativistic B-Spline R-Matrix Calculations for Electron Collisions with Ytterbium

Atoms ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 47
Author(s):  
Kathryn R. Hamilton ◽  
Klaus Bartschat ◽  
Oleg Zatsarinny
Keyword(s):  
Experimental Data ◽  
Electron Scattering ◽  
Cross Sections ◽  
Matrix Method ◽  
Model Potential ◽  
Electron Collisions ◽  
R Matrix ◽  
B Spline ◽  
Potential Approach

We have applied the full-relativistic Dirac B-Spline R-matrix method to obtain cross sections for electron scattering from ytterbium atoms. The results are compared with those obtained from a semi-relativistic (Breit-Pauli) model-potential approach and the few available experimental data.

The Costs of Ignoring High-Order Correlations in Populations of Model Neurons

2006 ◽  
Vol 18 (3) ◽  
pp. 660-682 ◽  
Author(s):  
Melchi M. Michel ◽  
Robert A. Jacobs
Keyword(s):  
Model Neuron ◽  
Joint Probability ◽  
High Order ◽  
Neural Population ◽  
Neural Responses ◽  
Significant Information ◽  
Statistical Correlations ◽  
Neural Populations ◽  
Simulation Results ◽  
Dependence Tree

Investigators debate the extent to which neural populations use pairwise and higher-order statistical dependencies among neural responses to represent information about a visual stimulus. To study this issue, three statistical decoders were used to extract the information in the responses of model neurons about the binocular disparities present in simulated pairs of left-eye and right-eye images: (1) the full joint probability decoder considered all possible statistical relations among neural responses as potentially important; (2) the dependence tree decoder also considered all possible relations as potentially important, but it approximated high-order statistical correlations using a computationally tractable procedure; and (3) the independent response decoder, which assumed that neural responses are statistically independent, meaning that all correlations should be zero and thus can be ignored. Simulation results indicate that high-order correlations among model neuron responses contain significant information about binocular disparities and that the amount of this high-order information increases rapidly as a function of neural population size. Furthermore, the results highlight the potential importance of the dependence tree decoder to neuroscientists as a powerful but still practical way of approximating high-order correlations among neural responses.

FTIR combined with chemometric tools — a potential approach for early screening of grazers in microalgal cultures

2021 ◽  
Author(s):  
Pranali Deore ◽  
John Beardall ◽  
Yussi M Palacios ◽  
Santosh Noronha ◽  
Philip Heraud
Keyword(s):  
Early Screening ◽  
Potential Approach ◽  
Chemometric Tools

scholarly journals Controlling Product Selectivity with Nanoparticle Composition in Tandem Chemo-Biocatalytic Styrene Oxidation

2021 ◽  
Author(s):  
Derik Wilbers ◽  
Joseph Brehm ◽  
Richard Lewis ◽  
Jacqueline Van Marwijk ◽  
Thomas Davies ◽  
...  
Keyword(s):  
Heterogeneous Catalysis ◽  
Product Selectivity ◽  
Styrene Oxidation ◽  
One Pot ◽  
Potential Approach ◽  
Reaction Cascades

The combination of heterogeneous catalysis and biocatalysis into one-pot reaction cascades is a potential approach to integrate enzymatic transformations into existing chemical infrastructure. Peroxygenases, which can achieve clean C-H activation,...

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