AIMC Topic: Computer Simulation

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Timescale separation in recurrent neural networks.

Neural computation
Supervised learning in recurrent neural networks involves two processes: the neuron activity from which gradients are estimated and the process on connection parameters induced by these measurements. A problem such algorithms must address is how to b...

Stability analysis of neutral type neural networks with mixed time-varying delays using triple-integral and delay-partitioning methods.

ISA transactions
This paper investigates the asymptotical stability problem for a class of neutral type neural networks with mixed time-varying delays. The system not only has time-varying discrete delay, but also distributed delay, which has never been discussed in ...

Adaptive intermittent control: A computational model explaining motor intermittency observed in human behavior.

Neural networks : the official journal of the International Neural Network Society
It is a fundamental question how our brain performs a given motor task in a real-time fashion with the slow sensorimotor system. Computational theory proposed an influential idea of feed-forward control, but it has mainly treated the case that the mo...

Mechatronic design and locomotion control of a robotic thunniform swimmer for fast cruising.

Bioinspiration & biomimetics
This paper presents mechatronic design and locomotion control of a biomimetic robotic fish that swims using thunniform kinematics for fast cruising. Propulsion of the robotic fish is realized with a parallel four-bar propulsive mechanism that deliver...

Performance of synchronized fins in biomimetic propulsion.

Bioinspiration & biomimetics
By using a two-dimensional model of ray fins, we numerically investigate the thrust generation by closely-coupled fins with an immersed boundary approach. The concentration is on the performance enhancement through fin-fin interactions and the underl...

Noninvasive reconstruction of cardiac transmembrane potentials using a kernelized extreme learning method.

Physics in medicine and biology
Non-invasively reconstructing the cardiac transmembrane potentials (TMPs) from body surface potentials can act as a regression problem. The support vector regression (SVR) method is often used to solve the regression problem, however the computationa...

Multibody system dynamics for bio-inspired locomotion: from geometric structures to computational aspects.

Bioinspiration & biomimetics
This article presents a set of generic tools for multibody system dynamics devoted to the study of bio-inspired locomotion in robotics. First, archetypal examples from the field of bio-inspired robot locomotion are presented to prepare the ground for...

Performance analysis of jump-gliding locomotion for miniature robotics.

Bioinspiration & biomimetics
Recent work suggests that jumping locomotion in combination with a gliding phase can be used as an effective mobility principle in robotics. Compared to pure jumping without a gliding phase, the potential benefits of hybrid jump-gliding locomotion in...

Running up a wall: the role and challenges of dynamic climbing in enhancing multi-modal legged systems.

Bioinspiration & biomimetics
Animals have demonstrated the ability to move through, across and over some of the most daunting environments on earth. This versatility and adaptability stems from their capacity to alter their locomotion dynamics and employ disparate locomotion mod...

Goal-directed multimodal locomotion through coupling between mechanical and attractor selection dynamics.

Bioinspiration & biomimetics
One of the most significant challenges in bio-inspired robotics is how to realize and take advantage of multimodal locomotion, which may help robots perform a variety of tasks adaptively in different environments. In order to address the challenge pr...