AIMC Topic:
Computer Simulation

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miRAW: A deep learning-based approach to predict microRNA targets by analyzing whole microRNA transcripts.

PLoS computational biology
MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression by binding to partially complementary regions within the 3'UTR of their target genes. Computational methods play an important role in target prediction and assume that the miR...

A molecular neuromorphic network device consisting of single-walled carbon nanotubes complexed with polyoxometalate.

Nature communications
In contrast to AI hardware, neuromorphic hardware is based on neuroscience, wherein constructing both spiking neurons and their dense and complex networks is essential to obtain intelligent abilities. However, the integration density of present neuro...

Active Inference in OpenAI Gym: A Paradigm for Computational Investigations Into Psychiatric Illness.

Biological psychiatry. Cognitive neuroscience and neuroimaging
BACKGROUND: Artificial intelligence has recently attained humanlike performance in a number of gamelike domains. These advances have been spurred by brain-inspired architectures and algorithms such as hierarchical filtering and reinforcement learning...

An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria.

Neural networks : the official journal of the International Neural Network Society
The issue of unified dissipativity-based Arcak-type state estimator design for delayed static neural networks (SNNs) with leakage term and noise distraction was considered here. An Arcak-type state observer, which is compact than the usually used Lue...

Earthquake prediction model using support vector regressor and hybrid neural networks.

PloS one
Earthquake prediction has been a challenging research area, where a future occurrence of the devastating catastrophe is predicted. In this work, sixty seismic features are computed through employing seismological concepts, such as Gutenberg-Richter l...

Reproducibility of importance extraction methods in neural network based fMRI classification.

NeuroImage
Recent advances in machine learning allow faster training, improved performance and increased interpretability of classification techniques. Consequently, their application in neuroscience is rapidly increasing. While classification approaches have p...

Spiking networks as efficient distributed controllers.

Biological cybernetics
In the brain, networks of neurons produce activity that is decoded into perceptions and actions. How the dynamics of neural networks support this decoding is a major scientific question. That is, while we understand the basic mechanisms by which neur...

Modeling of dielectric elastomer oscillators for soft biomimetic applications.

Bioinspiration & biomimetics
Biomimetic, entirely soft robots with animal-like behavior and integrated artificial nervous systems will open up totally new perspectives and applications. However, until now, most presented studies on soft robots were limited to only partly soft de...

Achieving bioinspired flapping wing hovering flight solutions on Mars via wing scaling.

Bioinspiration & biomimetics
Achieving atmospheric flight on Mars is challenging due to the low density of the Martian atmosphere. Aerodynamic forces are proportional to the atmospheric density, which limits the use of conventional aircraft designs on Mars. Here, we show using n...

Distributed zero-sum differential game for multi-agent systems in strict-feedback form with input saturation and output constraint.

Neural networks : the official journal of the International Neural Network Society
This paper investigates the distributed differential game tracking problem for nonlinear multi-agent systems with output constraint under a fixed directed graph. Each follower can be taken as strict-feedback structure with uncertain nonlinearities an...