نتایج جستجو برای: adjustment parameter
تعداد نتایج: 285601 فیلتر نتایج به سال:
We describe a new technique to fit conductance-based neuron models to intracellular voltage traces from isolated biological neurons. The biological neurons are recorded in current-clamp with pink (1/f) noise injected to perturb the activity of the neuron. The new algorithm finds a set of parameters that allows a multicompartmental model neuron to match the recorded voltage trace. Attempting to ...
Introduction: Small-animal cardiac imaging shows a renewed interest, but spatial and temporal resolution are still a challenging problem as well as movement and flux artifacts that alter considerably the image quality with traditional acquisition techniques. One possible way to assess those problems is the use of non-Cartesian acquisition scheme like variable density spiral (VDS) [1]. The main ...
A machine-learning algorithm based on the natural immune system metaphor has been developed, AINE (Artificial Immune Network). AINE developed from initial work on Artificial Immune Systems for data analysis, for which detailed experimentation was undertaken as to the affect of altering algorithm parameters had on the behaviour of the system. Two of the parameters, the network affinity threshold...
Ž . Ž . A parallel-type, pump-shared PTPS scheme linear-cavity laser array LCLA is proposed and numerically studied. Power-equalization of multiwavelength fiber lasers can be achieved by varying the pumping power ratio, length of the erbium-doped fiber or reflectivity of grating reflector for the individual channels. Before and after power-equalization, the maximum power variation among seven e...
Brain-Computer Interfaces (BCIs) transfer human brain activities into computer commands and enable a communication channel without requiring movement. Among other BCI approaches, steady-state visual evoked potential (SSVEP)-based BCIs have the potential to become accurate, assistive technologies for persons with severe disabilities. Those systems require customization of different kinds of para...
BACKGROUND Experiencing potentially traumatic events is associated with psychological distress. However, some survivors also experience positive personal and psychological changes in the aftermath of trauma. METHODS The present study investigated perceived posttraumatic growth in 197 ministerial employees who were present at work during the 2011 Oslo bombing attack. The relationships between ...
The aim of this work was to demonstrate the correspondence between a macroscopic 3D computer model of electrophysiology (i.e., the Aliev-Panfilov model) parametrized with MR data and experimental characterization of action potential propagation in large porcine hearts, ex vivo, using optical methods (based on voltage-sensitive fluorescence). A secondary goal was to use one of these studies to d...
We compare algorithms for fundamental matrix computation, which we classify into “a posteriori correction”, “internal access”, and “external access”. Doing experimental comparison, we show that the 7-parameter Levenberg-Marquardt (LM) search and the extended FNS (EFNS) exhibit the best performance and that additional bundle adjustment does not increase the accuracy to any noticeable degree.
Superposition of sigmoid function over a finite time interval is shown to be equivalent to the linear combination of the solutions of a linearly parameterized system of logistic differential equations. Due to the linearity with respect to the parameters of the system, it is possible to design an effective procedure for parameter adjustment. Stability properties of this procedure are analyzed.
Iterative data-based controller tuning consists of iterative adjustment of the controller parameters towards the parameter values which minimize an H2 performance criterion. The convergence to the global minimum of the performance criterion depends on the initial controller parameters and on the step size of each iteration. This paper presents convergence properties of iterative algorithms when...
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