AIMC Topic: Feedback

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Experimental evaluation of magnified haptic feedback for robot-assisted needle insertion and palpation.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Haptic feedback has been proven to play a key role in enhancing the performance of teleoperated medical procedures. However, due to safety issues, commercially-available medical robots do not currently provide the clinician with haptic fe...

Theory of cortical function.

Proceedings of the National Academy of Sciences of the United States of America
Most models of sensory processing in the brain have a feedforward architecture in which each stage comprises simple linear filtering operations and nonlinearities. Models of this form have been used to explain a wide range of neurophysiological and p...

A system of recurrent neural networks for modularising, parameterising and dynamic analysis of cell signalling networks.

Bio Systems
In this paper, we show how to extend our previously proposed novel continuous time Recurrent Neural Networks (RNN) approach that retains the advantage of continuous dynamics offered by Ordinary Differential Equations (ODE) while enabling parameter es...

Biologically plausible learning in neural networks with modulatory feedback.

Neural networks : the official journal of the International Neural Network Society
Although Hebbian learning has long been a key component in understanding neural plasticity, it has not yet been successful in modeling modulatory feedback connections, which make up a significant portion of connections in the brain. We develop a new ...

Control and Evaluation of a Powered Transfemoral Prosthesis for Stair Ascent.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper assesses the metabolic effort exerted by three transfemoral amputees, when using a powered knee and ankle prosthesis for stair ascent, relative to ascending stairs with passive knee and ankle prostheses. The paper describes a controller th...

Elimination of spiral waves in a locally connected chaotic neural network by a dynamic phase space constraint.

Neural networks : the official journal of the International Neural Network Society
In this study, a method is proposed that eliminates spiral waves in a locally connected chaotic neural network (CNN) under some simplified conditions, using a dynamic phase space constraint (DPSC) as a control method. In this method, a control signal...

Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm.

Computational intelligence and neuroscience
Symbiotic organisms search (SOS) is a new robust and powerful metaheuristic algorithm, which stimulates the symbiotic interaction strategies adopted by organisms to survive and propagate in the ecosystem. In the supervised learning area, it is a chal...

Controller design for global fixed-time synchronization of delayed neural networks with discontinuous activations.

Neural networks : the official journal of the International Neural Network Society
This paper addresses the controller design problem for global fixed-time synchronization of delayed neural networks (DNNs) with discontinuous activations. To solve this problem, adaptive control and state feedback control laws are designed. Then base...

Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach.

IEEE transactions on haptics
Robotic-assisted minimally invasive surgeries have gained a lot of popularity over conventional procedures as they offer many benefits to both surgeons and patients. Nonetheless, they still suffer from some limitations that affect their outcome. One ...

Ridge Polynomial Neural Network with Error Feedback for Time Series Forecasting.

PloS one
Time series forecasting has gained much attention due to its many practical applications. Higher-order neural network with recurrent feedback is a powerful technique that has been used successfully for time series forecasting. It maintains fast learn...