AIMC Topic: Feedback

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Central pattern generator based on self-sustained oscillator coupled to a chain of oscillatory circuits.

Chaos (Woodbury, N.Y.)
We have proposed and studied both numerically and experimentally a multistable system based on a self-sustained Van der Pol oscillator coupled to passive oscillatory circuits. The number of passive oscillators determines the number of multistable osc...

Neural network-based adaptive synchronization for second-order nonlinear multiagent systems with unknown disturbance.

Chaos (Woodbury, N.Y.)
This paper handles the distributed adaptive synchronization problem for a class of unknown second-order nonlinear multiagent systems subject to external disturbance. It is supposed to be an unknown one for the underlying external disorder. First, the...

Controlled generation of self-sustained oscillations in complex artificial neural networks.

Chaos (Woodbury, N.Y.)
Spatially distinct, self-sustained oscillations in artificial neural networks are fundamental to information encoding, storage, and processing in these systems. Here, we develop a method to induce a large variety of self-sustained oscillatory pattern...

On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments.

Neural computation
Associative memories enjoy many interesting properties in terms of error correction capabilities, robustness to noise, storage capacity, and retrieval performance, and their usage spans over a large set of applications. In this letter, we investigate...

Closed-loop feedback control of microfluidic cell manipulation deep-learning integrated sensor networks.

Lab on a chip
Microfluidic technologies have long enabled the manipulation of flow-driven cells en masse under a variety of force fields with the goal of characterizing them or discriminating the pathogenic ones. On the other hand, a microfluidic platform is typic...

Contrastive Similarity Matching for Supervised Learning.

Neural computation
We propose a novel biologically plausible solution to the credit assignment problem motivated by observations in the ventral visual pathway and trained deep neural networks. In both, representations of objects in the same category become progressivel...

Investigation on stability and controller design for singular bio-economic systems with stochastic fluctuations.

Mathematical biosciences and engineering : MBE
In this paper, the finite-time stability and control of a kind of singular bio-economic systems with stochastic fluctuations are investigated. When economic profit is no longer a constant but a variable, the system shows distinct dynamic behavior. Fi...

Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review.

BMJ health & care informatics
OBJECTIVES: Unstructured free-text patient feedback contains rich information, and analysing these data manually would require a lot of personnel resources which are not available in most healthcare organisations.To undertake a systematic review of t...

A state observer for the computational network model of neural populations.

Chaos (Woodbury, N.Y.)
A state observer plays a vital role in the design of state feedback neuromodulation schemes used to prevent and treat neurological or psychiatric disorders. This paper aims to design a state observer to reconstruct all unmeasured states of the comput...

Artificial Intelligence in Quality Improvement: Reviewing Uses of Artificial Intelligence in Noninterpretative Processes from Clinical Decision Support to Education and Feedback.

Journal of the American College of Radiology : JACR
The radiology workflow can be segmented into three large groups: pre-interpretative processes, interpretation, and postinterpretative processes. Each stage of this workflow represents quality improvement opportunities for artificial intelligence and ...