Results 61 to 70 of about 3,259 (218)

Linking perceptual learning with identical stimuli to imagery perceptual learning

Journal of Vision, 2015
Perceptual learning is usually thought to be exclusively driven by the stimuli presented during training (and the underlying synaptic learning rules). In some way, we are slaves of our visual experiences. However, learning can occur even when no stimuli are presented at all.
Grzeczkowski Lukasz, Tartaglia Elisa, Mast Fred, Herzog Michael   +3 more
openaire   +3 more sources

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Sleep benefits perceptual but not movement-based learning of locomotor sequences

Scientific Reports
Practicing complex locomotor skills, such as those involving a step sequence engages distinct perceptual and motor mechanisms that support the recall of learning under new conditions (i.e., skill transfer).
Gabriela Borin, Sumire D. Sato, Rebecca M. C. Spencer, Julia T. Choi   +3 more
doaj   +1 more source

New percepts via mental imagery?

Frontiers in Psychology, 2012
We are able to extract detailed information from mental images that we were not explicitly aware of during encoding. For example, we can discover a new figure when we rotate a previously seen image in our mind.
Fred Walter Mast, Elisa eTartaglia, Elisa eTartaglia, Michael eHerzog   +3 more
doaj   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Perceptual learning style preferences of monolingual and bilingual EFL learners

Revista de Lenguas para Fines Específicos, 2022
The present study explored the perceptual learning style preferences of monolingual and bilingual English as a Foreign Language (EFL) learners. This comparison would acknowledge whether they have similar or different learning style preferences.
Alejandra Montero-SaizAja
doaj  

Integrated Approaches to Perceptual Learning [PDF]

Topics in Cognitive Science, 2010
New technologies and new ways of thinking have recently led to rapid expansions in the study of perceptual learning. We describe three themes shared by many of the nine articles included in this topic on Integrated Approaches to Perceptual Learning. First, perceptual learning cannot be studied on its own because it is closely linked to other aspects of
openaire   +2 more sources

Electrically Coded Retinomorphic Spectrophotodetector

Advanced Materials, EarlyView.
Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley   +1 more source

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

Advanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko, Chiamaka Akah, Ravinder Dahiya   +2 more
wiley   +1 more source

Perceptual Learning at Higher Trained Cutoff Spatial Frequencies Induces Larger Visual Improvements

Frontiers in Psychology, 2020
It is well known that extensive practice of a perceptual task can improve visual performance, termed perceptual learning. The goal of the present study was to evaluate the dependency of visual improvements on the features of training stimuli (i.e ...
Di Wu, Pan Zhang, Chenxi Li, Na Liu, Wuli Jia, Ge Chen, Weicong Ren, Yuqi Sun, Wei Xiao   +8 more
doaj   +1 more source