AIMC Topic: Computer Simulation

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Stability Analysis of Neural Networks With Two Delay Components Based on Dynamic Delay Interval Method.

IEEE transactions on neural networks and learning systems
In this paper, a dynamic delay interval (DDI) method is proposed to deal with the stability problem of neural networks with two delay components. This method extends the fixed interval of a time-varying delay to a dynamic one, which relaxes the restr...

The utility of automated measures of ocular metrics for detecting driver drowsiness during extended wakefulness.

Accident; analysis and prevention
Slowed eyelid closure coupled with increased duration and frequency of closure is associated with drowsiness. This study assessed the utility of two devices for automated measurement of slow eyelid closure in a standard poor performance condition (al...

Neuroplasticity in dynamic neural networks comprised of neurons attached to adaptive base plate.

Neural networks : the official journal of the International Neural Network Society
In this paper, a learning algorithm is developed for Dynamic Plastic Continuous Neural Networks (DPCNNs) to improve their learning of highly nonlinear time dependent problems. A DPCNN is comprised of a base medium, which is nonlinear and plastic, and...

Mirrored STDP Implements Autoencoder Learning in a Network of Spiking Neurons.

PLoS computational biology
The autoencoder algorithm is a simple but powerful unsupervised method for training neural networks. Autoencoder networks can learn sparse distributed codes similar to those seen in cortical sensory areas such as visual area V1, but they can also be ...

Event-triggered synchronization strategy for complex dynamical networks with the Markovian switching topologies.

Neural networks : the official journal of the International Neural Network Society
This paper concerns the synchronization problem of complex networks with the random switching topologies. By modeling the switching of network topologies as a Markov process, a novel event-triggered synchronization strategy is proposed. Unlike the ex...

A locust-inspired miniature jumping robot.

Bioinspiration & biomimetics
Unmanned ground vehicles are mostly wheeled, tracked, or legged. These locomotion mechanisms have a limited ability to traverse rough terrain and obstacles that are higher than the robot's center of mass. In order to improve the mobility of small rob...

Evolutionary multiobjective design of a flexible caudal fin for robotic fish.

Bioinspiration & biomimetics
Robotic fish accomplish swimming by deforming their bodies or other fin-like appendages. As an emerging class of embedded computing system, robotic fish are anticipated to play an important role in environmental monitoring, inspection of underwater s...

Predictive modeling of structured electronic health records for adverse drug event detection.

BMC medical informatics and decision making
BACKGROUND: The digitization of healthcare data, resulting from the increasingly widespread adoption of electronic health records, has greatly facilitated its analysis by computational methods and thereby enabled large-scale secondary use thereof. Th...

Optimism in Active Learning.

Computational intelligence and neuroscience
Active learning is the problem of interactively constructing the training set used in classification in order to reduce its size. It would ideally successively add the instance-label pair that decreases the classification error most. However, the eff...

Can shoulder joint reaction forces be estimated by neural networks?

Journal of biomechanics
To facilitate the development of future shoulder endoprostheses, a long term load profile of the shoulder joint is desired. A musculoskeletal model using 3D kinematics and external forces as input can estimate the mechanical load on the glenohumeral ...