AIMC Topic: Neural Networks, Computer

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Dynamics study on the effect of memristive autapse distribution on Hopfield neural network.

Chaos (Woodbury, N.Y.)
As the shortest feedback loop of the nervous system, autapse plays an important role in the mode conversion of neurodynamics. In particular, memristive autapses can not only facilitate the adjustment of the dynamical behavior but also enhance the com...

[Development of Deep Convolutional Neural Network-Based Algorithm for Muscle Biopsy Diagnosis].

Brain and nerve = Shinkei kenkyu no shinpo
To diagnose muscle disease, histopathologic evaluation of muscle biopsy is essential. In addition, since myositis has a well-established treatment, an accurate diagnosis is required. However, distinguishing myositis from other muscle diseases is chal...

Optical processor for a binarized neural network.

Optics letters
We propose and experimentally demonstrate an optical processor for a binarized neural network (NN). Implementation of a binarized NN involves multiply-accumulate operations, in which positive and negative weights should be implemented. In the propose...

Single-exposure height-recovery structured illumination microscopy based on deep learning.

Optics letters
Modulation-based structured illumination microscopy (SIM) is performed to reconstruct three-dimensional (3D) surface topography. Generally speaking, modulation decoding algorithms mainly include a phase-shift (PS) method and frequency analysis techni...

Efficient optical reservoir computing for parallel data processing.

Optics letters
We propose and experimentally demonstrate an optical reservoir computing system in free space, using second-harmonic generation for nonlinear kernel functions and a scattering medium to enhance reservoir nodes interconnection. We test it for one-step...

Artificial intelligence and computer vision in orthopaedic trauma : the why, what, and how.

The bone & joint journal
Artificial intelligence (AI) is, in essence, the concept of 'computer thinking', encompassing methods that train computers to perform and learn from executing certain tasks, called machine learning, and methods to build intricate computer models that...

Hybrid recommendation algorithm based on real-valued RBM and CNN.

Mathematical biosciences and engineering : MBE
With the unprecedented development of big data, it is becoming hard to get the valuable information hence, the recommendation system is becoming more and more popular. When the limited Boltzmann machine is used for collaborative filtering, only the s...

Observer-based finite-time adaptive fuzzy back-stepping control for MIMO coupled nonlinear systems.

Mathematical biosciences and engineering : MBE
An attempt is made in this paper to devise a finite-time adaptive fuzzy back-stepping control scheme for a class of multi-input and multi-output (MIMO) coupled nonlinear systems with immeasurable states. In view of the uncertainty of the system, adap...

Graph-based structural knowledge-aware network for diagnosis assistant.

Mathematical biosciences and engineering : MBE
Diagnosis assistant is an effective way to reduce the workloads of professional doctors. The rich professional knowledge plays a crucial role in diagnosis. Therefore, it is important to introduce the relevant medical knowledge into diagnosis assistan...

Extended Anderson Criticality in Heavy-Tailed Neural Networks.

Physical review letters
We investigate the emergence of complex dynamics in networks with heavy-tailed connectivity by developing a non-Hermitian random matrix theory. We uncover the existence of an extended critical regime of spatially multifractal fluctuations between the...