Computer Simulation

251.

A neural model of perceptual-motor alignment.

Sensorimotor systems face complex and frequent discrepancies among spatial modalities, for example, growth, optical distortion, and telemanipulation. Adaptive mechanisms must act continuously to restore perceptual-motor alignments necessary for ...
Emmanuel Guigon, Pierre Baraduc (J Cogn Neurosci, 200205)
neural-model-perceptual-motor-alignment.asp

252.

Simulators and endourological training.

Acquisition of skills laboratory training seems to be of importance in the training of surgeons, and is intended to cover the gap between theoretical learning and real practice. Economic and ethical reasons limit the use of animals during the learning ...
M Pilar Laguna, Martin Hatzinger, Jens Rassweiler (Curr Opin Urol, 200205)
simulators-endourological-training.asp

253.

Support vector machines with selective kernel scaling for protein classification and identification of key amino acid positions.

MOTIVATION: Data that characterize primary and tertiary structures of proteins are now accumulating at a rapid and accelerating rate and require automated computational tools to extract critical information relating amino acid changes with the spectrum ...
Nela Zavaljevski, Fred J Stevens, Jaques Reifman (Bioinformatics, 200205)
support-vector-machines-selective-kernel-scaling-protein.asp

254.

On the time resolution of event-related desynchronization: a simulation study.

OBJECTIVES: To investigate the time resolution of different methods for the computation of event-related desynchronization/synchronization (ERD/ERS), including one based on Hilbert transform. METHODS: In order to better understand the time resolution of ...
Thomas R Knösche, Marcel C M Bastiaansen (Clin Neurophysiol, 200205)
time-resolution-event-related-desynchronization-simulation-study.asp

255.

Controlling the statistics of action: obstacle avoidance.

Task optimization in the presence of signal-dependent noise (TOPS) has been proposed as a general framework for planning goal-directed movements. Within this framework, the motor command is assumed to be corrupted by signal-dependent noise, which leads ...
Antonia F de C Hamilton, Daniel M Wolpert (J Neurophysiol, 200205)
controlling-statistics-action-obstacle-avoidance.asp

256.

Agent-based modeling for understanding social intelligence.

The advantages of agent-based modeling for a general theory of intelligence at the individual and social level are emphasized over other existing approaches mainly relying on rationality theories. As was pointed out during the National Academy of ...
Rosaria Conte (Proc Natl Acad Sci U S A, 200205)
agent-based-modeling-understanding-social-intelligence.asp

257.

Evaluation of sleep and driving performance in six patients with Parkinsons disease reporting sudden onset of sleep under dopaminergic medication: a pilot study.

Six patients with Parkinsons disease (PD) reporting unusually fast or sudden onset of sleep under the addition of dopamine agonists to a previous levodopa-containing therapy were examined using a sleep-wake diary, the Epworth sleepiness scale (ESS), ...
J Carsten Möller, Karin Stiasny, Volker Hargutt, Werner Cassel, Heiko Tietze, J Hermann Peter, H-Peter Krüger, Wolfgang H Oertel (Mov Disord, 200205)
evaluation-sleep-driving-performance-six-patients-parkinson-s-disease.asp

258.

The impact of spatiotemporal sampling on time-to-contact judgments.

When motion in the frontoparallel plane is temporally sampled, it is often perceived to be slower than its continuous counterpart. This finding stands in contrast to humans ability to extrapolate and anticipate constant-velocity motion. We investigated ...
Heiko Hecht, Mary K Kaiser, Geert J P Savelsbergh, John van der Kamp (Percept Psychophys, 200205)
impact-spatiotemporal-sampling-time-contact-judgments.asp

259.

Modeling of nonlinear physiological systems with fast and slow dynamics. II. Application to cerebral autoregulation.

Dynamic autoregulation of cerebral hemodynamics in healthy humans is studied using the novel methodology of the Laguerre-Volterra network for systems with fast and slow dynamics (Mitsis, G. D., and V. Z. Marmarelis, Ann. Biomed. Eng. 30:272-281, 2002). ...
G D Mitsis, R Zhang, B D Levine, V Z Marmarelis (Ann Biomed Eng, 200204)
modeling-nonlinear-physiological-systems-fast-slow-dynamics-ii.asp

260.

A dynamic model of the knee and lower limb for simulating rising movements.

A two-dimensional dynamical model of the human body was developed and used to simulate muscle and knee-ligament loading during a fast rising movement. The hip, ankle, and toes were each modeled as a simple hinge joint. Relative movements of the femur, ...
Kevin B Shelburne, Marcus G Pandy (Comput Methods Biomech Biomed Engin, 200204)
dynamic-model-knee-lower-limb-simulating-rising-movements.asp