The emergent neural modeling system

B Aisa, B Mingus, R O'Reilly - Neural networks, 2008 - Elsevier
Emergent (http://grey. colorado. edu/emergent) is a powerful tool for the simulation of
biologically plausible, complex neural systems that was released in August 2007. Inheriting …

Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches

J Wang, B Yang, Y An, T Marquez-Lago… - Briefings in …, 2019 - academic.oup.com
In the course of infecting their hosts, pathogenic bacteria secrete numerous effectors,
namely, bacterial proteins that pervert host cell biology. Many Gram-negative bacteria …

[PDF][PDF] Cognitive workload gauge development: comparison of real-time classification methods

PL Craven, N Belov, P Tremoulet… - Foundations of …, 2006 - academia.edu
Linear and non-linear classifiers provide different strengths for evaluating
neurophysiological sensor data. The dynamic nature and non-linear trends of …

eLoom and Flatland: specification, simulation and visualization engines for the study of arbitrary hierarchical neural architectures

TP Caudell, Y Xiao, MJ Healy - Neural Networks, 2003 - Elsevier
eLoom is an open source graph simulation software tool, developed at the University of New
Mexico (UNM), that enables users to specify and simulate neural network models. Its …

[PDF][PDF] ADVANCES IN TECHNOLOGY-BASED EDUCATION: TOWARDS A KNOWLEDGE BASED SOCIETY

A Méndez-Vilas, JAM González… - Proceedings of the IInd …, 2003 - Citeseer
Academic organizations are changing. Students require systematically for more effective
means to support their daily activities. Managers are concerned with providing special …

Does soft computing classify research in spiking neural networks?

L Maguire - International Journal of Computational Intelligence …, 2010 - Taylor & Francis
The last fifty years has witnessed considerable activity in research that develops
computational approaches inspired by nature. There are a number of umbrella terms used …