Results 151 to 160 of about 374,822 (264)

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Cerebellar Contributions to Spatial Learning and Memory: Effects of Discrete Immunotoxic Lesions. [PDF]

Int J Mol Sci
Leanza MH, Storelli E, D'Arco D, de Leo G, Kleiner G, Arancio L, Capodieci G, Gulino R, Bava A, Leanza G.   +9 more
europepmc   +1 more source

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

Advanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min, Yonghyun Albert Kwon, Hyunbin Kim, Jihyun Kim, Myeongjin Jung, Jaewon Heo, Gwang Ya Kim, Vlastimil Mazanek, Zdeněk Sofer, In Soo Kim, Jeong Ho Cho, Hyesung Park, Sang Min Won, Joohoon Kang   +13 more
wiley   +1 more source

Modulation of place cells using targeted stimulation with bidirectional microelectrode arrays enhances spatial learning speed in mice. [PDF]

Fundam Res
Mo F, Song Y, Xiao G, Xu Z, Lv S, Xu W, Liu Y, Liu J, Wang M, Wu Y, Dai Q, Cai X.   +11 more
europepmc   +1 more source

Using Appetitive Motivation to Train Mice for Spatial Learning in the Barnes Maze. [PDF]

Biomed Res Int, 2023
Tajti BT, Yoon O, Ernyey AJ, Gáspár A, Varga BT, Gyertyán I.   +5 more
europepmc   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

Emergence of orthogonal hippocampal representations during spatial learning. [PDF]

Learn Behav
Bingman VP.
europepmc   +1 more source

Modeling the function of episodic memory in spatial learning. [PDF]

Front Psychol, 2023
Zeng X, Diekmann N, Wiskott L, Cheng S.
europepmc   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Chemogenetic tools for modulation of spatial learning in dopamine transporter deficient rats. [PDF]

Front Neurosci
Gromova AA, Shemiakova TS, Khotin MG, Petrunina EN, Belskaya AD, Gainetdinov RR, Kurzina NP, Volnova AB.   +7 more
europepmc   +1 more source