AIMC Topic: Computer Simulation

Clear Filters Showing 3191 to 3200 of 3877 articles

New exponential synchronization criteria for time-varying delayed neural networks with discontinuous activations.

Neural networks : the official journal of the International Neural Network Society
This paper investigates the problem of exponential synchronization of time-varying delayed neural networks with discontinuous neuron activations. Under the extended Filippov differential inclusion framework, by designing discontinuous state-feedback ...

Autoshaped choice in artificial neural networks: implications for behavioral economics and neuroeconomics.

Behavioural processes
An existing neural network model of conditioning was used to simulate autoshaped choice. In this phenomenon, pigeons first receive an autoshaping procedure with two keylight stimuli X and Y separately paired with food in a forward-delay manner, inter...

Universal Memcomputing Machines.

IEEE transactions on neural networks and learning systems
We introduce the notion of universal memcomputing machines (UMMs): a class of brain-inspired general-purpose computing machines based on systems with memory, whereby processing and storing of information occur on the same physical location. We analyt...

On extracting design principles from biology: II. Case study-the effect of knee direction on bipedal robot running efficiency.

Bioinspiration & biomimetics
Comparing the leg of an ostrich to that of a human suggests an important question to legged robot designers: should a robot's leg joint bend in the direction of running ('forwards') or opposite ('backwards')? Biological studies cannot answer this que...

On extracting design principles from biology: I. Method-General answers to high-level design questions for bioinspired robots.

Bioinspiration & biomimetics
When millions of years of evolution suggest a particular design solution, we may be tempted to abandon traditional design methods and copy the biological example. However, biological solutions do not often translate directly into the engineering doma...

Ultra-fast escape maneuver of an octopus-inspired robot.

Bioinspiration & biomimetics
We design and test an octopus-inspired flexible hull robot that demonstrates outstanding fast-starting performance. The robot is hyper-inflated with water, and then rapidly deflates to expel the fluid so as to power the escape maneuver. Using this ro...

Confined swimming of bio-inspired microrobots in rectangular channels.

Bioinspiration & biomimetics
Controlled swimming of bio-inspired microrobots in confined spaces needs to be understood well for potential use in medical applications in conduits and vessels inside the body. In this study, experimental and computational studies are performed for ...

To err is robotic, to tolerate immunological: fault detection in multirobot systems.

Bioinspiration & biomimetics
Fault detection and fault tolerance represent two of the most important and largely unsolved issues in the field of multirobot systems (MRS). Efficient, long-term operation requires an accurate, timely detection, and accommodation of abnormally behav...

Training spiking neural models using artificial bee colony.

Computational intelligence and neuroscience
Spiking neurons are models designed to simulate, in a realistic manner, the behavior of biological neurons. Recently, it has been proven that this type of neurons can be applied to solve pattern recognition problems with great efficiency. However, th...

Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation.

IEEE transactions on neural networks and learning systems
We present a framework for the identification of spatiotemporal linear dynamical systems. We use a state-space model representation that has the following attributes: 1) the number of spatial observation locations are decoupled from the model order; ...