AIMC Topic: Computer Simulation

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KeBABS: an R package for kernel-based analysis of biological sequences.

Bioinformatics (Oxford, England)
KeBABS provides a powerful, flexible and easy to use framework for KE: rnel- B: ased A: nalysis of B: iological S: equences in R. It includes efficient implementations of the most important sequence kernels, also including variants that allow for tak...

A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO.

Neural networks : the official journal of the International Neural Network Society
Biological systems are capable of learning that certain stimuli are valuable while ignoring the many that are not, and thus perform feature selection. In machine learning, one effective feature selection approach is the least absolute shrinkage and s...

Folding in and out: passive morphing in flapping wings.

Bioinspiration & biomimetics
We present a new mechanism for passive wing morphing of flapping wings inspired by bat and bird wing morphology. The mechanism consists of an unactuated hand wing connected to the arm wing with a wrist joint. Flapping motion generates centrifugal acc...

Quadrupedal galloping control for a wide range of speed via vertical impulse scaling.

Bioinspiration & biomimetics
This paper presents a bio-inspired quadruped controller that allows variable-speed galloping. The controller design is inspired by observations from biological runners. Quadrupedal animals increase the vertical impulse that is generated by ground rea...

Optimized Assistive Human-Robot Interaction Using Reinforcement Learning.

IEEE transactions on cybernetics
An intelligent human-robot interaction (HRI) system with adjustable robot behavior is presented. The proposed HRI system assists the human operator to perform a given task with minimum workload demands and optimizes the overall human-robot system per...

Further analysis of global μ-stability of complex-valued neural networks with unbounded time-varying delays.

Neural networks : the official journal of the International Neural Network Society
In this paper, we consider the problem of global μ-stability for complex-valued neural networks (CVNNs) with unbounded time-varying delays and it has been widely investigated. Under mild conditions, some new sufficient conditions for global μ-stabili...

Development and Validation of a Novel Robotic Procedure Specific Simulation Platform: Partial Nephrectomy.

The Journal of urology
PURPOSE: We developed a novel procedure specific simulation platform for robotic partial nephrectomy. In this study we prospectively evaluate its face, content, construct and concurrent validity.

Finite-Horizon Near-Optimal Output Feedback Neural Network Control of Quantized Nonlinear Discrete-Time Systems With Input Constraint.

IEEE transactions on neural networks and learning systems
The output feedback-based near-optimal regulation of uncertain and quantized nonlinear discrete-time systems in affine form with control constraint over finite horizon is addressed in this paper. First, the effect of input constraint is handled using...

Kernel temporal differences for neural decoding.

Computational intelligence and neuroscience
We study the feasibility and capability of the kernel temporal difference (KTD)(λ) algorithm for neural decoding. KTD(λ) is an online, kernel-based learning algorithm, which has been introduced to estimate value functions in reinforcement learning. T...

Peaking-Free Output-Feedback Adaptive Neural Control Under a Nonseparation Principle.

IEEE transactions on neural networks and learning systems
High-gain observers have been extensively applied to construct output-feedback adaptive neural control (ANC) for a class of feedback linearizable uncertain nonlinear systems under a nonlinear separation principle. Yet due to static-gain and linear pr...