Results 161 to 170 of about 215,411 (303)
Connectivity reflects coding: A model of voltage-based spike-timing-dependent-plasticity with homeostasis [PDF]
Electrophysiological connectivity patterns in cortex often show a few strong connections in a sea of weak connections. In some brain areas a large fraction of strong connections are bidirectional, in others they are mainly unidirectional.
Claudia Clopath +3 more
core
nMNSD-A Spiking Neuron-Based Classifier That Combines Weight-Adjustment and Delay-Shift. [PDF]
Susi G +4 more
europepmc +1 more source
Programming Actuation in 3D‐Printed Micro‐Architectures via Interfacial Adhesion Control
A two‐phase meniscus‐guided 3D printing method directly fabricates microscale poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) and poly(vinyl alcohol) (PVA) bilayers with in situ programmable interfaces. Modulating the meniscus stretching speed switches the interface between separated and bonded states, which controls the mechanical ...
Xiao Huan +13 more
wiley +1 more source
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
Numerical Cognition Based on Precise Counting with a Single Spiking Neuron. [PDF]
Rapp H, Nawrot MP, Stern M.
europepmc +2 more sources
Neuromorphic Analog Implementation of Neural Engineering Framework-Inspired Spiking Neuron for High-Dimensional Representation. [PDF]
Hazan A, Ezra Tsur E.
europepmc +1 more source
Memristor-based spiking neuron circuit design for address-event representation edge motion tracking
Address-event representation (AER)-based imaging offers high-speed, high-dynamic-range vision by processing the pixel-level visual signals in the form of spatiotemporal, asynchronous spikes.
Pengyu Liu +5 more
doaj +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Spiking Neuron Networks A survey [PDF]
Spiking Neuron Networks (SNNs) are often referred to as the 3rd generation of neural networks. They derive their strength and interest from an accurate modelling of synaptic interactions between neurons, taking into account the time of spike emission ...
Paugam-Moisy, Hélène
core +1 more source
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska +2 more
wiley +1 more source

