Fractals and Chaos Simplified for the Life Sciences

[Cover] [Abbreviated Contents] [Contents] [Index]

Page 266
measles 194, 195
measure theory 110
mechanisms
deterministic (see deterministic, mechanisms)
random (see random, mechanisms)
meditation 198
Mees 199
membrane 22, 34, 35, 40, 68
metronome 186
Miller 93
Misler 19
moments (see mean and variance)
Moon 241
Mosekilde 241
motor phase transition 186, 187
Muller 199
mutations 92, 94, 100
N
Neale 15
Nerenber 211
neural networks 248, 249
neurons 14, 15, 22, 68, 84-87, 100
Newton 206, 246
Nicolis 199
Nittman 15
nonlinear 246, 247
nonlinear dynamics 240
nonstationary 104
number of independent variables (see variables, number)
O
OToole 197
one-over-f noise 96, 97
optical interferometry 140
Ostrowsky 81
other methods 246-249
cellular automata 248, 249
coupled maps 248, 249
neural networks 248, 249
self-organizing critical systems 248, 249
Ott 241
Overbaugh 93
oxygen 66
P
parameter 176, 222
Patton 97
Paumgartner 35
Peng 99
period doubling bifurcation 184
persistence 90
phase space (see chaos, phase space)
phase space set (see attractors)
phase transitions 186, 187
placenta 22
Platt 15
Poincaré 164
Poisson distribution 86
population mean 74, 75, 78
potential energy function 186
power spectrum
chaos 116
power law 96, 97
predictability 162-165
probability density function (see distributions)
problems with the chaos analysis
amount of data 210
embedding theorems 214
interpretation of low dimensional attractor 216
lag 212
summary 208
projects to do 102, 214
proteins
energy levels 22
ion channel 18-22, 36-39, 62, 68
surface 40, 68
vibrations 68
pulse number distribution 84-87
R
R/S 90, 91, 98, 99
radioisotope tracer 68, 97, 100
random
mechanisms 116, 118, 122,

 
[Cover] [Abbreviated Contents] [Contents] [Index]
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