AIMC Topic: Neural Networks, Computer

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Time-Delay Neural Network for Continuous Emotional Dimension Prediction From Facial Expression Sequences.

IEEE transactions on cybernetics
Automatic continuous affective state prediction from naturalistic facial expression is a very challenging research topic but very important in human-computer interaction. One of the main challenges is modeling the dynamics that characterize naturalis...

Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks.

IEEE journal of biomedical and health informatics
Automatic localization of the standard plane containing complicated anatomical structures in ultrasound (US) videos remains a challenging problem. In this paper, we present a learning-based approach to locate the fetal abdominal standard plane (FASP)...

Periodic solution for state-dependent impulsive shunting inhibitory CNNs with time-varying delays.

Neural networks : the official journal of the International Neural Network Society
In this paper, we consider existence and global exponential stability of periodic solution for state-dependent impulsive shunting inhibitory cellular neural networks with time-varying delays. By means of B-equivalence method, we reduce these state-de...

Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment.

Neural networks : the official journal of the International Neural Network Society
The paper presents a methodology for the analysis of functional changes in brain activity across different conditions and different groups of subjects. This analysis is based on the recently proposed NeuCube spiking neural network (SNN) framework and...

Prediction of effluent concentration in a wastewater treatment plant using machine learning models.

Journal of environmental sciences (China)
Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as one of the efficient modeling method. However, the load of food waste to the conventional waste treatment process might lead to the high concentratio...

Memory dynamics in attractor networks.

Computational intelligence and neuroscience
As can be represented by neurons and their synaptic connections, attractor networks are widely believed to underlie biological memory systems and have been used extensively in recent years to model the storage and retrieval process of memory. In this...

On the Relationship between Variational Level Set-Based and SOM-Based Active Contours.

Computational intelligence and neuroscience
Most Active Contour Models (ACMs) deal with the image segmentation problem as a functional optimization problem, as they work on dividing an image into several regions by optimizing a suitable functional. Among ACMs, variational level set methods hav...

Neural Controller Design-Based Adaptive Control for Nonlinear MIMO Systems With Unknown Hysteresis Inputs.

IEEE transactions on cybernetics
This paper studies an adaptive neural control for nonlinear multiple-input multiple-output systems in interconnected form. The studied systems are composed of N subsystems in pure feedback structure and the interconnection terms are contained in ever...

Discontinuous Lyapunov approach to state estimation and filtering of jumped systems with sampled-data.

Neural networks : the official journal of the International Neural Network Society
This paper is concerned with the sampled-data state estimation and H(∞) filtering for a class of Markovian jump systems with the discontinuous Lyapunov approach. The system measurements are sampled and then transmitted to the estimator and filter in ...

Stochastic synchronization of neural activity waves.

Physical review. E, Statistical, nonlinear, and soft matter physics
We demonstrate that waves in distinct layers of a neuronal network can become phase locked by common spatiotemporal noise. This phenomenon is studied for stationary bumps, traveling waves, and breathers. A weak noise expansion is used to derive an ef...