Results 111 to 120 of about 52,867 (269)

Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

Advanced Functional Materials, EarlyView.
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann, Hanglin He, Marko Mladenović, Till Zellweger, Kevin Portner, Klemens Bauer, Guillaume Bellec, Mathieu Luisier, Alexandros Emboras   +8 more
wiley   +1 more source

Bio‐Inspired Multimodal Hardware Front‐End Enabled by 2D Floating‐Gate Memory for UAV Perception

Advanced Functional Materials, EarlyView.
A MoS2/h‐BN /graphene floating‐gate memory underpins a bio‐inspired multimodal front end that integrates visual, inertial, and airflow cues. A 4 × 4 FG memory array encodes temporal intensity differences, while IMU‐ and airflow‐driven threshold modulation suppresses self‐motion artifacts, enabling fast, low‐power, robust autonomous UAV tracking and ...
Lianghao Guo, Yue Cheng, Cong Li, Xiaoyu Guo, Jiankai Yin, Dadong Fan, Zhenyu Xu, Chenyu Tang, Arokia Nathan, Shuo Gao, Li Tao, Luigi G. Occhipinti   +11 more
wiley   +1 more source

Ultrasound‐Triggered Gelation for Restoring Biomechanical Properties of Degenerated Functional Spinal Units

Advanced Healthcare Materials, EarlyView.
This study introduces an innovative approach to treating intervertebral disc degeneration using ultrasound‐triggered in situ hydrogel formation. Proof‐of‐concept experiments using optimized biomaterial and ultrasound parameters demonstrate partial restoration of biomechanical function and successful integration into degenerated disc tissue, offering a ...
Veerle A. Brans, Anna P. Constantinou, Matthew J. Kibble, Valeria Nele, Daniel Reumann, Luca Bau, Sebastien J. P. Callens, James P. K. Armstrong, Nicolas Newell, Constantin C. Coussios, Molly M. Stevens, Michael D. Gray   +11 more
wiley   +1 more source

Fractal analyses of networks of integrate-and-fire stochastic spiking neurons

, 2018
Although there is increasing evidence of criticality in the brain, the processes that guide neuronal networks to reach or maintain criticality remain unclear.
Amon, Mary Jean, Costa, Ariadne de Andrade, Favela, Luis, Sporns, Olaf   +3 more
core   +1 more source

Modular Platform for Rapidly Investigating Long‐Distance Propagation of Human Neural Network Activity

Advanced Healthcare Materials, EarlyView.
This study presents the first human neural organoid culture model capable of rapidly exhibiting long‐distance neural network propagation, thus delivering a system to experimentally investigate large‐scale communication during normal and diseased states.
Megh Dipak Patel, Sailee Sham Lavekar, Ronak Jaisalmeria, Suki Oji, Jazmine Jayasi, Caroline Cvetkovic, Robert Krencik   +6 more
wiley   +1 more source

Bioprinting Organs—Science or Fiction?—A Review From Students to Students

Advanced Healthcare Materials, EarlyView.
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu, Camilla Mussoni, Mateo S. Andrade Mier, Paula Buettner, Nathaly Chicaiza‐Cabezas, Yi‐Yu Robin Dai, Jessica Faber, Maren Fiedler, Zan Lamberger, Xuen Jen Ng, Vanessa Moessler, Anna Rederer, Jonas Roeder, Sabrina Stecher, Katinka Theis, Jeanette Weigelt, Silvia Budday, Gregor Lang, Natascha Schaefer   +18 more
wiley   +1 more source

Clustering predicts memory performance in networks of spiking and non-spiking neurons

Frontiers in Computational Neuroscience, 2011
The problem we address in this paper is that of finding effective and parsimonious patterns of connectivity in sparse associative memories. This problem must be addressed in real neuronal systems, so that results in artificial systems could throw light ...
Weiliang eChen, Weiliang eChen, Reinoud eMaex, Rod eAdams, Volker eSteuber, Lee eCalcraft, Neil eDavey   +6 more
doaj   +1 more source

An On-chip Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses

, 2017
Spiking neural networks (SNNs) are being explored in an attempt to mimic brain's capability to learn and recognize at low power. Crossbar architecture with highly scalable Resistive RAM or RRAM array serving as synaptic weights and neuronal drivers in ...
Ganguly, Udayan, Shukla, Aditya
core   +1 more source

Customizable Fabrication of 2D and Conformal Multielectrode Arrays for 3D Printed Organotypic Bioelectronic Interfaces

Advanced Healthcare Materials, EarlyView.
Aerosol jet printing enables rapid, customizable fabrication of flexible, fully gold multi‐electrode arrays (MEAs) for organotypic bioelectronic interfaces. The printed MEAs exhibit stable electrochemical performance, cytocompatibility, and functionality in recording and stimulation, including integration with 3D‐printed constructs.
Ernest Cheah, Xinchao Gao, Wei Qi Jaw, Guo Liang Goh, Jia Min Lee, Chongquan Huang, Sing Yian Chew, Wai Yee Yeong   +7 more
wiley   +1 more source

Dendritic Spiking Neural Networks with Combined Membrane Potential Decay and Dynamic Threshold for Sequential Recognition

Applied Sciences
Spiking neural networks (SNNs) aim to simulate human neural networks with biologically plausible neurons. However, conventional SNNs based on point neurons ignore the inherent dendritic computation of biological neurons. Additionally, these point neurons
Qian Zhou, Wenjie Wang, Mengting Qiao
doaj   +1 more source