Results 181 to 190 of about 21,684 (244)

Ethical and Frugal Approaches to Animal Experimentation in Bioelectronics and Neural Engineering—An Invertebrate Renaissance?

Advanced Electronic Materials, EarlyView.
Invertebrates are the classic neuroscience models and should make a comeback. Invertebrate organisms can be a more ethical and cost‐effective way to move bioelectronics research forward more rapidly. ABSTRACT The accelerating development of bioelectronic neural interfaces has brought increased attention to ethical considerations surrounding in vivo ...
Eric Daniel Głowacki
wiley   +1 more source

Temporal single spike coding for effective transfer learning in spiking neural networks. [PDF]

Sci Rep
Moqadasi H, Safari S, Mateo F.
europepmc   +1 more source

Recent Progress and Opportunities in Oxide Semiconductor Devices for In‐Memory and Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
This review surveys oxide‐semiconductor devices for in‐memory and neuromorphic computing, highlighting recent progress and remaining challenges in charge‐trap, ferroelectric, and two‐transistor devices. Oxide semiconductors, featuring ultra‐low leakage, low‐temperature processing, and back‐end‐of‐line compatibility, are explored for analog in‐memory ...
Suwon Seong, Taejun Ha, Sangwook Jung, Wontae Jeong, Yoonyoung Chung   +4 more
wiley   +1 more source

IGZO-Based First Spike Timing Tactile Encoders and Coupling-Enhanced Transistor Synapses for Efficient Spiking Neural Networks. [PDF]

Adv Sci (Weinh)
Cai D, Wang J, Zhao T, Shen M, Liu Y, Zhang T, Zhang F, Wang Y, Jiang Y, Gu D.   +9 more
europepmc   +1 more source

Gel‐Amin for Improving Extracellular Recordings of Cardiomyocytes in a 3D Microphysiological System

Advanced Electronic Materials, EarlyView.
This work combines a conductive collagen‐based hydrogel with a laser‐cut and assembly technique to fabricate microphysiological systems that improve extracellular recordings of cardiomyocytes in 3D on microelectrode arrays. The inclusion of choline acrylate into GelMA imparts a higher electrical conductivity and improves the signal‐to‐noise ratio of on‐
Dominic Pizzarella, Katelyn Neuman, Nolan Burson, Abigail N. Koppes, Ryan A. Koppes   +4 more
wiley   +1 more source

Unsupervised post-training learning in spiking neural networks. [PDF]

Sci Rep
Naderi R, Rezaei A, Amiri M, Peremans H.
europepmc   +1 more source

Reconfigurable, Non‐Volatile Switching in WO3 Film for Resistive Memory and Multistate Programming Toward Energy‐Efficient Neuromorphic Computing Applications

Advanced Electronic Materials, EarlyView.
WO3${\rm WO}_3$ based resistive switching device was precisely controlled and shows the reconfigurable, non‐volatile switching which can be programmable to multi‐resistance states for memory applications. The memory device can also be utilised for low energy neuromorphic application.
Keval Hadiyal, Nagarajan Raghavan, Ramesh Mohan Thamankar   +2 more
wiley   +1 more source

BN-SNN: Spiking neural networks with bistable neurons for object detection. [PDF]

PLoS One
Muhammad Yasir S, Kim H.
europepmc   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

Three-factor learning in spiking neural networks: An overview of methods and trends from a machine learning perspective. [PDF]

Patterns (N Y)
Mazurek S, Caputa J, Argasiński JK, Wielgosz M.   +3 more
europepmc   +1 more source