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SPIDE: A purely spike-based method for training feedback spiking neural networks.

Neural networks : the official journal of the International Neural Network Society
Spiking neural networks (SNNs) with event-based computation are promising brain-inspired models for energy-efficient applications on neuromorphic hardware. However, most supervised SNN training methods, such as conversion from artificial neural netwo...

Development of a remote-control system for catheterization capable of high-speed force feedback.

International journal of computer assisted radiology and surgery
PURPOSE: There is a growing interest in minimally invasive surgery as interventional radiology (IVR), which decreases the burden on a patient. However, occupational exposure is a problem because the treatment is performed using X-ray fluoroscopic ima...

A Study on the Role of Affective Feedback in Robot-Assisted Learning.

Sensors (Basel, Switzerland)
In recent years, there have been many approaches to using robots to teach computer programming. In intelligent tutoring systems and computer-aided learning, there is also some research to show that affective feedback to the student increases learning...

Implementation of Deep-Learning-Based CSI Feedback Reporting on 5G NR-Compliant Link-Level Simulator.

Sensors (Basel, Switzerland)
Advances in machine learning have widened the range of its applications in many fields. In particular, deep learning has attracted much interest for its ability to provide solutions where the derivation of a rigorous mathematical model of the problem...

Choice selective inhibition drives stability and competition in decision circuits.

Nature communications
During perceptual decision-making, the firing rates of cortical neurons reflect upcoming choices. Recent work showed that excitatory and inhibitory neurons are equally selective for choice. However, the functional consequences of inhibitory choice se...

Third-order motifs are sufficient to fully and uniquely characterize spatiotemporal neural network activity.

Scientific reports
Neuroscientific analyses balance between capturing the brain's complexity and expressing that complexity in meaningful and understandable ways. Here we present a novel approach that fully characterizes neural network activity and does so by uniquely ...

Robotic Simulators for Tissue Examination Training With Multimodal Sensory Feedback.

IEEE reviews in biomedical engineering
Tissue examination by hand remains an essential technique in clinical practice. The effective application depends on skills in sensorimotor coordination, mainly involving haptic, visual, and auditory feedback. The skills clinicians have to learn can ...

Towards Haptic-Based Dual-Arm Manipulation.

Sensors (Basel, Switzerland)
Vision is the main component of current robotics systems that is used for manipulating objects. However, solely relying on vision for hand-object pose tracking faces challenges such as occlusions and objects moving out of view during robotic manipula...

Experimental Investigations into Using Motion Capture State Feedback for Real-Time Control of a Humanoid Robot.

Sensors (Basel, Switzerland)
Regardless of recent advances, humanoid robots still face significant difficulties in performing locomotion tasks. Among the key challenges that must be addressed to achieve robust bipedal locomotion are dynamically consistent motion planning, feedba...

Proposal of a Real-Time Test Platform for Tactile Internet Systems.

Sensors (Basel, Switzerland)
This work aimed to develop a real-time test platform for systems associated with the tactile internet area. The proposal comprises a master device, a communication channel and a slave device. The master device is a tactile glove (wearable technology)...