A Computational Model of Neural Learning to Predict Graphene Based ISFET
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Electronic Materials"
DOI: 10.1007/s11664-019-07247-x
Abstract: In this study, the graphene ion-sensitive field-effect transistor in an electrolyte solution with different K+ concentration has been investigated. It is found that by measuring the gate voltage changes, the K+ concentration in the electrolyte… read more here.
Keywords: computational model; learning predict; predict graphene; graphene ... See more keywords
Neural learning rules for generating flexible predictions and computing the successor representation
Sign Up to like & getrecommendations! Published in 2022 at "eLife"
DOI: 10.1101/2022.05.18.492543
Abstract: The predictive nature of the hippocampus is thought to be useful for memory-guided cognitive behaviors. Inspired by the reinforcement learning literature, this notion has been formalized as a predictive map called the successor representation (SR).… read more here.
Keywords: successor representation; neural learning; learning rules; learning ... See more keywords
Neural Learning With Recoil Behavior in Hyperellipsoidal Structure
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3003531
Abstract: In recent years, the quantity of digital data being generated has increased considerably and is overwhelming the storage capacity. To overcome this problem, acquiring more and larger data storage is the simplest solution. But this… read more here.
Keywords: neural learning; storage; recoil behavior; accuracy ... See more keywords
Composite Neural Learning Fault-Tolerant Control for Underactuated Vehicles With Event-Triggered Input
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.3005800
Abstract: This article presents a novel composite neural learning fault-tolerant algorithm to implement the path-following activity of underactuated vehicles with event-triggered input. With the input event-triggered mechanism, the dominant superiority is to reduce the communication burden… read more here.
Keywords: fault tolerant; learning fault; event triggered; neural learning ... See more keywords
Levenberg–Marquart logistic deep neural learning based energy efficient and load balanced routing in MANET
Sign Up to like & getrecommendations! Published in 2021 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v23.i2.pp1002-1010
Abstract: As the advent of new technologies grows, the deployment of mobile ad hoc networks (MANET) becomes increasingly popular in many application areas. In addition, all the nodes in MANET are battery operated and the node… read more here.
Keywords: logistic deep; deep neural; energy; neural learning ... See more keywords
Media Multitasking and Cognitive, Psychological, Neural, and Learning Differences
Sign Up to like & getrecommendations! Published in 2017 at "Pediatrics"
DOI: 10.1542/peds.2016-1758d
Abstract: American youth spend more time with media than any other waking activity: an average of 7.5 hours per day, every day. On average, 29% of that time is spent juggling multiple media streams simultaneously (ie,… read more here.
Keywords: multitasking cognitive; learning differences; media multitasking; cognitive psychological ... See more keywords