MATLAB for Neuroscientists, 2nd Edition

Index

Note: Page numbers followed by “f” and “t” refer to figures and tables, respectively.

A

Action potential, See Fitzhugh-Nagumo (FN) model; Neuron action potential modeling

Active neurons, 481–482, 482f, 483, 485

Addition, 9

matrix, 61

addpath, 369

allchild, 148

alpha, 511

Alpha error, 211, 211t

Alpha rhythm, 419

Amplitude spectrum, analysis, 233–234

Analysis of variance, 95–97, 168, 169t, 170

anova1, 168, 168, 170

anova2, 170

anovan, 170

ans =, 9–12

Arrays, 58

operations versus matrix operations, 21

Artificial neural network, See Neural network

Attention, See Posner paradigm

axes_props, 148

B

Backpropagation, neural networks, 504, 511–512

Band-pass filter, 350–351

bar, 28, 29b, 30

Baum-Welch algorithm, 456–457

Bayesian analysis, 100–102