Title :
Lie-Truth Allometric Power Law Modeling and Brain Chemistry Simulation Verification
Author :
Li Wenshi ; Sha Yabing
Author_Institution :
Sch. of Electron. & Inf. Eng., Soochow Univ. Suzhou, Suzhou, China
Abstract :
A novel allometric power law model of lie-truth brain power dissipation in formula of Plie = Ptruth ¿ is extracted through methods of brain-ear mapping and wavelet analysis. The verification is by brain chemistry simulation including ANNs of DA, TL and PFC based on leaky-integrate-and-fire (LIF) neuron. The results grasped the power-exponent ¿ ¿1.23 which passed the examination in active brain chemistry driver of DA neural network between total three modules. The nonlinear lie-truth law modeling and brain chemistry simulation prove further truth be the baseline of brain power dissipation for deception detection.
Keywords :
brain; medical computing; neural nets; wavelet transforms; ANN; DA neural network; PFC; TL; active brain chemistry driver; brain chemistry simulation verification; brain-ear mapping; deception detection; leaky-integrate-and-fire neuron; lie-truth allometric power law modeling; lie-truth brain power dissipation; nonlinear lie-truth law modeling; wavelet analysis; Acoustic signal detection; Biological neural networks; Biological system modeling; Brain modeling; Chemistry; Data mining; Energy consumption; Infrared spectra; Neurons; Power dissipation;
Conference_Titel :
Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5315-3
DOI :
10.1109/ICBECS.2010.5462364
