A new hybrid learning control system for robots based on spiking neural networks.

This paper presents a new hybrid learning and control method that can tune their parameters based on reinforcement learning. In the new proposed method, nonlinear controllers are considered multi-input multi-output functions and then the functions are replaced with SNNs with reinforcement learning algorithms. Dopamine-modulated spike-timing-dependent plasticity (STDP) is used for reinforcement learning and manipulating the synaptic weights between the input and output of neuronal groups (for parameter adjustment).

A framework for preparing a stochastic nonlinear integrate-and-fire model for integrated information theory.

This paper presents a framework for spiking neural networks to be prepared for the Integrated Information Theory (IIT) analysis, using a stochastic nonlinear integrate-and-fire model. The model includes the crucial dynamics of the all-or-none law and after-spike refractoriness. The noise is modelled as an additive term in the system's equations.

A review and experimental study on the application of classifiers and evolutionary algorithms in EEG-based brain-machine interface systems.

Objective: Considering the importance and the near-future development of noninvasive brain-machine interface (BMI) systems, this paper presents a comprehensive theoretical-experimental survey on the classification and evolutionary methods for BMI-based systems in which EEG signals are used.

Approach: The paper is divided into two main parts. In the first part, a wide range of different types of the base and combinatorial classifiers including boosting and bagging classifiers and evolutionary algorithms are reviewed and investigated.

The cardiac effects of carbon nanotubes in rat.

Introduction: Carbon nanotubes (CNTs) are novel candidates in nanotechnology with a variety of increasing applications in medicine and biology. Therefore the investigation of nanomaterials' biocompatibility can be an important topic. The aim of present study was to investigate the CNTs impact on cardiac heart rate among rats.

A new fast nonlinear modeling of soft tissue for surgical simulation.

In this paper, soft tissue is modeled by a mass-spring-damper system and tissue deformations under the compression of surgical instruments are simulated. For this purpose, soft tissue confined in a cubic plastic mold is studied using a nonlinear viscoelastic model. Displacements resulting from probe insertions are measured and modeled for use in robotic surgery.

Design and construction of an optical computed tomography scanner for polymer gel dosimetry application.

Polymer gel dosimeter is the only accurate three dimensional (3D) dosimeter that can measure the absorbed dose distribution in a perfect 3D setting. Gel dosimetry by using optical computed tomography (OCT) has been promoted by several researches. In the current study, we designed and constructed a prototype OCT system for gel dosimetry.

A review on creatinine measurement techniques.

This paper reviews the entire recent global tendency for creatinine measurement. Creatinine biosensors involve complex relationships between biology and micro-mechatronics to which the blood is subjected. Comparison between new and old methods shows that new techniques (e.