Results 131 to 140 of about 22,985 (275)

Advances in Organic In‐Sensor Neuromorphic Computing: from Material Mechanisms to Applications

Advanced Intelligent Discovery, EarlyView.
This review discusses organic in‐sensor neuromorphic computing for wearable and bioelectronic systems, with a focus on memory‐based and OECT‐based synaptic devices. It highlights key design principles, recent advances, and existing challenges. By integrating sensing and processing within organic materials, the approach enables real‐time, low‐power, and
Dong Hyun Lee, Woojo Kim, Eun Kwang Lee, Hocheon Yoo   +3 more
wiley   +1 more source

Protective Effects of Enriched Environment Against Transient Cerebral Ischemia-Induced Impairment of Passive Avoidance Memory and Long-Term Potentiation in Rats

Basic and Clinical Neuroscience, 2017
Introduction: Enriched Environment (EE), a complex novel environment, has been demonstrated to improve synaptic plasticity in both injured and intact animals. The present study investigated the capacity of an early environmental intervention to normalize
Ali Ahmadalipour, Jafar Sadeghzadeh, Seyed Afshin Samaei, Ali Rashidy-Pour   +3 more
doaj  

In‐Sensor Reservoir Computing Using Ferroelectric Optoelectronic Synapse for Near‐Infrared Face Recognition

Advanced Intelligent Systems, EarlyView.
Near‐infrared reservoir computing system has been realized by using α‐In2Se3 optoelectronic device with concise device and algorithm architecture, achieving high accuracy near 100% and noise robustness in face recognition tasks. These findings demonstrate 2D ferroelectric device‐based optoelectronic RC system as a compact and efficient computing ...
Wenyu Songlu, Quan Chen, Yi Cao, Han Wang, Han Chen, Weihui Sang, Yang Gan, Shijia Tian, Yuan Yu, Zhou Xin, Yukang Chen, Shuming Guo, Lin Wang, Xumeng Zhang, Tao Liu, Du Xiang   +15 more
wiley   +1 more source

NSIP: Neural Network SPICE Integration Platform for Ferroelectric Field‐Effect Transistor‐Based Crossbar Arrays

Advanced Intelligent Systems, EarlyView.
This study presents the neural network SPICE integration platform (NSIP), a novel simulation framework for FeFET‐based crossbar arrays in neuromorphic computing. NSIP accurately models synaptic behavior, evaluates inference accuracy, and optimizes process variations.
Juhwan Park, Huijun Kim, Hyunbo Cho, Jongwook Jeon   +3 more
wiley   +1 more source

Optoelectronic Neuromorphic System Based on Amorphous Indium–Gallium–Zinc–Oxide Thin‐Film Transistor for Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
An amorphous indium–gallium–zinc–oxide (IGZO)‐based optoelectronic neuromorphic system integrating light guides is introduced. The IGZO‐based optoelectronic synaptic transistor demonstrates high retention through a negative gate bias and emulates synaptic plasticity.
Yumin Yun, Junhyeong Park, Minsik Kong, Ji‐Ho Lee, Sunyeol Bae, Chanjin Park, Soo‐Yeon Lee   +6 more
wiley   +1 more source

Induction of CRE-Mediated Gene Expression by Stimuli That Generate Long-Lasting LTP in Area CA1 of the Hippocampus [PDF]

, 1996
Soren Impey, Melanie D. Mark, Enrique C. Villacres, Steven Poser, Charles Chavkin, Daniel R. Storm   +5 more
openalex   +1 more source

Neuromorphic Device Based on Material and Device Innovation toward Multimode and Multifunction

Advanced Intelligent Systems, EarlyView.
In the era of big data, multimodal and multifunctional neuromorphic devices offer significant opportunities in designing AI hardware. In this work, recent advances about emerging material systems and novel device structures in this field are summarized in detail. Potential applications are reviewed.
Feng Guo, Hongda Ren, Yang Zhang, Jianhua Hao   +3 more
wiley   +1 more source

Postsynaptic Complex Spike Bursting Enables the Induction of LTP by Theta Frequency Synaptic Stimulation [PDF]

, 1998
Mark J. Thomas, Ayako M. Watabe, Teena D. Moody, Michael Makhinson, Thomas J. O’Dell   +4 more
openalex   +1 more source

Exploring new roles for actin upon LTP induction in dendritic spines [PDF]

, 2020
Mayte Bonilla-Quintana, Florentin Wörgötter   +1 more
openalex   +1 more source

Real‐Time and Rapid Dynamic Missile Identification Utilizing a TiOx Memristor Array

Advanced Intelligent Systems, EarlyView.
Real‐time missile target identification is demonstrated using an artificial intelligence model based on step‐weighted long–short‐term memory networks and a TiOx memristor array. The approach classifies five projectile types with enhanced early‐stage prediction through data augmentation and custom training strategies. Achieving 94.4% accuracy, the model
Mingyu Kim, Gwanyeong Park, Gunuk Wang
wiley   +1 more source