To do so, a nonlinear artificial neural network (ANN) replaced linear regression as the method to characterise statistical relationships between the multidimensional activity patterns of two ROIs.

Such structure is expected from a receptive field composed of nonlinear subunits but cannot be explained by a global nonlinearity applied after linear spatial integration (for example, in standard ...

Students can then identify whether the function is linear or nonlinear based on the pattern. 5. Collaborative projects Finally, students can work together on collaborative projects to deepen their ...

Provide students with a graph and a set of data, including both linear and nonlinear functions, and ask them to plot the points on the graph. This activity will help students to identify patterns in ...

Trainable threshold logic elements have been used in the adaptive pattern recognition field to design linear classifiers for patterns of binary variables. This paper shows how one of these trainable ...

Conventionally, the money demand function is estimated using a regression of the logarithm of money demand on either the interest rate or the logarithm of the interest rate. This equation is presumed ...