Epstein Secrets

hon 192, 202 London Mathematical Society 15, 238 London School of Economics 301 London Science Museum 16 long multiplication 240 Lorenz Attractor 173 Lorenz, Edward 170, 172 Lotus Corporation 237 Lucas argument 205 Lucas, JR xi, 205 Lucas-Penrose argument 205 M Madam Tussaud 75 magnetic fields 105 Mag

36 gears 42 Geiger counter 326 geometry 179 German 86, 129 Gettysburg Address 57 ‘G factors 29 ginormous 131 Giseng, Nicolas 335 Gladwell, Malcolm 37 Glass, Philip 8 Gleick, James 171 glucose 117 God free will and 339 Gédel Escher Bach 49 Gédel, Kurt xi, 141, 193, 201, 221, 246 Gédel limit 207 Godel nu

eer, George Birkoff (1922), was computing the output of a very reduced subset of Saltzman’s differential equations for predicting the weather (1962). Lorenz found that numerically integrated trajectories manifested unpredictable times and directions of motion between the two spiral orbits of what has come

en reported in variety of physiological measures in man including respiratory rhythms and circulating blood cell concentrations over time (Mackey and Glass, 1977; Glass and Mackey, 1988 ) and models of dopamine cell dynamics (King et al, 1984). Flow rate parameter sensitive periodic, bursting and chaotic

in dimension greater than two (for orbits to be more than a fixed point or limit cycle, able to snake around without necessarily intersecting ), the Lorenz attractor has dimension just a little over two, our difficulties with establishing the “true” physiological dimension of real biological observables

ract and philosophical issue of “determinism” versus “randomness” or “error” (Sugihara and May, 1990; Casdagli, 1991; Wayland et al, 1993; Kaplan and Glass, 1992; Kaplan, 1994) since this question is relatively unproductive with respect to generating new neurobiological insights, novel experiments or new