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Energy saving accounts for the suppression of sensory detail
Terence Bossomaier
, L Barnett
, Vaenthan Thiruvarudchelvan
, Herbert Jelinek
Faculty Office, Business, Justice and Behavioural Sciences
Data Science and Engineering Research Unit
Machine Vision and Digital Health (MaViDH) Research Group
Allied Health, Exercise and Sports Sciences
University of Sussex
Research output
:
Book chapter/Published conference paper
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Conference paper
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peer-review
76
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Keyphrases
Energy Saving
100%
Spiking Neural Networks
100%
All of Us
100%
Sensory Detail
100%
Savings Accounts
100%
Energy Conservation
50%
Rain
50%
Brain Stimulation
50%
Feature Detector
50%
High-functioning
50%
Number of Features
50%
Output Unit
50%
Overall Energy
50%
Eidetic Imagery
50%
Spiking Activity
50%
Energy Usage
50%
Input Neurons
50%
Popular
50%
Exceptional Skills
50%
Network Support
50%
Computer Science
Sensory Detail
100%
Neural Network
100%
Energy Saving
100%
Feature Detector
50%
Normal Circumstance
50%
Network Support
50%
Computational Simulation
50%
Neuroscience
Neural Network
100%
Visual Memory
50%
Electrical Brain Stimulation
50%
Material Science
Film
100%