Results 101 to 110 of about 6,160,560 (261)

An Anti‐Amyloidogenic Approach to Specifically Block Memory Consolidation in Mice for Therapeutic Intervention

Advanced Science, EarlyView.
Functional amyloid conversion of the translation regulator CPEB3 is essential for long‐term memory persistence. This study demonstrates that targeting this molecular switch with the anti‐amyloidogenic peptide QBP1 selectively blocks CPEB3 fibrillation without disrupting phase separation.
Paula López‐García, Kerry R. McGreevy, Maria Eugenia Vaquero, Juan M. Suarez‐Rivero, Antonio Moreno‐Rodríguez, Antonio J. Pérez‐Pulido, Daniel Ramírez de Mingo, Anna Pallé, Helena Akiko Popiel, Andrea Santi, Mario D. Cordero, José Luis Trejo, Yoshitaka Nagai, Mariano Carrión‐Vázquez   +13 more
wiley   +1 more source

The Auditory-Visual Speech Benefit on Working Memory in Older Adults with Hearing Impairment

Frontiers in Psychology, 2016
This study examined the effect of auditory-visual (AV) speech stimuli on working memory in hearing impaired participants (HIP) in comparison to age- and education-matched normal elderly controls (NEC). Participants completed a working memory n-back task (
Jana B. Frtusova, Natalie ePhillips
doaj   +1 more source

A Critical Time Window of Neocortex Modulation for Remote Fear Memory in Rats and Humans

Advanced Science, EarlyView.
This study identifies a delayed consolidation window around 18 h after fear learning in the mPFC essential for remote fear memory. VTA dopaminergic input during this window sustains remote memory in rats, while non‐invasive stimulation of homologous human mPFC at the corresponding time selectively weakens remote but not recent fear memory, revealing a ...
Lu Cao, Yu‐Xin Zhang, Xiao‐Xing Liu, Zi‐Hang Li, Tang‐Sheng Lu, Jia‐Hui Deng, Wen Zhang, Peng Li, Xiao Lin, Shu‐Fei Feng, Ting‐Ting Li, Shi‐Qiu Meng, Xiang‐Dong Tang, Tian‐Ye Jia, Trevor W. Robbins, Jie Shi, Ying Han, Yan‐Xue Xue, Lin Lu, Kai Yuan   +19 more
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Evolving perspectives of medial temporal memory function: hippocampal processes in visual and auditory forms of episodic and working memory

Frontiers in Cognition
A cornerstone of memory science is the finding that the medial temporal lobe plays a critical role in supporting episodic long-term memory. However, the role that this brain region plays in supporting other forms of memory such as working memory is ...
Chris Hawkins, Andrew P. Yonelinas
doaj   +1 more source

Investigation of the interaction between cross-modal stimuli and item grouping and their potential effects on working memory

Dialogues in Clinical Neuroscience & Mental Health, 2019
Working memory capacity is limited and can be affected by various factors. It is suggested that working memory can hold up to 3-4 objects. Empirical research indicates that the larger the number of visual material individuals hold in working memory, the ...
Panagiota Afentouli, Vasiliki Apeiranthitou, Marios-Dimitrios Chatzinikolaou, Chris Kallitsantsis, Penelope Louka, Andreas Tsirides   +5 more
doaj   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Cross-modal processing in auditory and visual working memory

NeuroImage, 2006
This study aimed to further explore processing of auditory and visual stimuli in working memory. Smith and Jonides (1997) [Smith, E.E., Jonides, J., 1997. Working memory: A view from neuroimaging. Cogn. Psychol. 33, 5-42] described a modified working memory model in which visual input is automatically transformed into a phonological code. To study this
Boris Suchan, Britta Linnewerth, Odo Köster, Irene Daum, Gebhard Schmid   +4 more
openaire   +2 more sources

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source