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Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...
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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsThis has motivated some neuroscientists and computer scientists to develop other dynamical models that can describe different types of linearity and non-linear dynamics. Researchers at University of ...
The team used shallow linear and non-linear classification models, such as support vector machines (SVM), logistic regression with different types of regularization (LASSO, ridge, elastic net ...
Implementation of error back propagation algorithm is carried out in VHDL platform for the purpose of in depth analysis of the effects of learning ...
They specifically used it to analyze and model the neural dynamics in datasets containing recordings of the neuronal activity in the brains of non-human primates while they completed different tasks.
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