Results 131 to 140 of about 1,630,780 (295)

Storage Capacity Diverges with Synaptic Efficiency in an Associative Memory Model with Synaptic Delay and Pruning [PDF]

open access: yes, 2003
It is known that storage capacity per synapse increases by synaptic pruning in the case of a correlation-type associative memory model. However, the storage capacity of the entire network then decreases. To overcome this difficulty, we propose decreasing
Miyoshi, Seiji, Okada, Masato
core  

An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks

open access: yes, 2015
In this article, we propose a novel Winner-Take-All (WTA) architecture employing neurons with nonlinear dendrites and an online unsupervised structural plasticity rule for training it.
Basu, Arindam, Roy, Subhrajit
core   +1 more source

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

open access: yesAdvanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi   +4 more
wiley   +1 more source

Ultrasound in Women's Health: Mechanisms, Applications, and Emerging Opportunities

open access: yesAdvanced Materials, EarlyView.
As healthcare moves toward decentralization, ultrasound technologies are evolving from strictly imaging tools in clinical settings into versatile diagnostic and therapeutic platforms, with growing roles addressing women's health needs. This review highlights how ultrasound's underlying physical mechanisms can be harnessed to reduce disparities in women'
Sarah B. Ornellas   +7 more
wiley   +1 more source

Synapse Elimination and Indelible Memory [PDF]

open access: yesNeuron, 2000
Lichtman, Jeff W, Colman, Howard
openaire   +2 more sources

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

open access: yesAdvanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu   +10 more
wiley   +1 more source

Serotonergic System‐Targeted Nucleic Acid Hydrogel Coordinates Excitability Restoration and Circuit Reconstruction for Spinal Cord Injury Therapy

open access: yesAdvanced Materials, EarlyView.
The study reports a DNA/RNA heteroduplex hydrogel (SeroPTEN‐CG) that undergoes DNase‐mediated hydrogel‐to‐nanogel transition for spinal cord injury therapy by targeting the serotonergic system, combining 5‐hydroxytryptamine (5‐HT)‐mediated excitability restoration to reactivate dormant interneurons with phosphatase and tensin homolog (PTEN)‐targeted ...
Chunlin Li   +19 more
wiley   +1 more source

Microglia and synapse interactions: Fine tuning neural circuits and candidate molecules

open access: yesFrontiers in Cellular Neuroscience, 2013
Brain function depends critically on the interactions among the underlying components that comprise neural circuits. This includes coordinated activity in pre-synaptic and postsynaptic neuronal elements, but also in the non-neuronal elements such as ...
Akiko eMiyamoto   +3 more
doaj   +1 more source

Europe’s regulations at risk [PDF]

open access: yes, 2016
This repository item contains a report from the Boston University Global Economic Governance Initiative. The Global Economic Governance Initiative (GEGI) is a research program of the Center for Finance, Law & Policy, the Frederick S.
Ackerman, Frank
core  

Liquid State Machine with Dendritically Enhanced Readout for Low-power, Neuromorphic VLSI Implementations

open access: yes, 2014
In this paper, we describe a new neuro-inspired, hardware-friendly readout stage for the liquid state machine (LSM), a popular model for reservoir computing.
Banerjee, Amitava   +2 more
core   +1 more source

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