Results 61 to 70 of about 3,365 (183)

Comparative Population Genetics of Two Alvinocaridid Shrimp Species in Chemosynthetic Ecosystems of the Western Pacific

open access: yesIntegrative Zoology, Volume 21, Issue 2, Page 291-303, March 2026.
Little is known about the population divergence and gene flow of deep‐sea animals living in disjunct hydrothermal vents and cold seep habitats. Taking advantage of samples collected from multiple cruises across a huge distance of >5000 km, we revealed the differential population divergence pattern and gene flow in two congeneric species of shrimps ...
Qi Dai   +8 more
wiley   +1 more source

The Intel neuromorphic DNS challenge

open access: yesNeuromorphic Computing and Engineering, 2023
A critical enabler for progress in neuromorphic computing research is the ability to transparently evaluate different neuromorphic solutions on important tasks and to compare them to state-of-the-art conventional solutions.
Jonathan Timcheck   +7 more
doaj   +1 more source

Efficient Synapse Memory Structure for Reconfigurable Digital Neuromorphic Hardware [PDF]

open access: yes, 2018
Spiking Neural Networks (SNNs) have high potential to process information efficiently with binary spikes and time delay information. Recently, dedicated SNN hardware accelerators with on-chip synapse memory array are gaining interest in overcoming the ...
JINSEOK, KIM   +3 more
core   +1 more source

Annual Variability in Marine Particulate Trace Elements During the Hawaii Aerosol Time‐Series

open access: yesGlobal Biogeochemical Cycles, Volume 40, Issue 2, February 2026.
Abstract The Hawaii Aerosol Time‐Series (HATS) was a coordinated effort to simultaneously monitor atmospheric and water column dust dynamics in the North Pacific Subtropical Gyre. Throughout 2022 and 2023, HATS measured the composition of water column particles and made complementary measurements of aerosol chemistry and deposition fluxes.
Mariah J. Ricci   +4 more
wiley   +1 more source

Unsupervised sparse coding-based spiking neural network for real-time spike sorting

open access: yesNeuromorphic Computing and Engineering
Spike sorting is a crucial step in decoding multichannel extracellular neural signals, enabling the identification of individual neuronal activity. A key challenge in brain–machine interfaces is achieving real-time, low-power spike sorting at the edge ...
Alexis Mélot   +4 more
doaj   +1 more source

Biogeography and ecology of the rare and abundant microbial lineages in deep-sea hydrothermal vents [PDF]

open access: yes, 2014
Author Posting. © The Author(s), 2014. This is the author's version of the work. It is posted here by permission of Oxford University Press for personal use, not for redistribution.
Anderson, Rika E.   +2 more
core   +1 more source

Halogenated Organic Compounds: A Massive Halogen Reservoir and an Intriguing Component of the Marine Dissolved Organic Matter Pool

open access: yesGeophysical Research Letters, Volume 53, Issue 1, 16 January 2026.
Abstract Biogeochemical reactions produce volatile halocarbons and semi‐ to nonvolatile dissolved organic halogens (DOX) in marine systems. The former has a large influence on atmospheric chemistry, but little is known about DOX. Here, we present depth profiles of dissolved organic bromine (DOBr) and ‐iodine (DOI) isolated from the Central North ...
Leanne C. Powers   +3 more
wiley   +1 more source

Dynamic Power Management for Neuromorphic Many-Core Systems [PDF]

open access: yes, 2019
This work presents a dynamic power management architecture for neuromorphic many core systems such as SpiNNaker. A fast dynamic voltage and frequency scaling (DVFS) technique is presented which allows the processing elements (PE) to change their supply ...
Cederstroem, Love   +14 more
core   +2 more sources

The Evolution of Gas Sensors Into Neuromorphic Systems

open access: yesAdvanced Electronic Materials, Volume 12, Issue 2, 21 January 2026.
Gas sensors are vital for various applications, but conventional designs rely on separate sensing, memory, and processing units, limiting speed, power efficiency, and adaptability. Neuromorphic gas sensing overcomes these constraints by integrating all functions in a single device.
Kevin Dominguez   +4 more
wiley   +1 more source

Exploring Neuromorphic Computing for Reinforcement Learning: A Survey and Review

open access: yesIEEE Access
This survey explores neuromorphic computing within the context of reinforcement learning (RL), covering developments in neuromorphic hardware and architectures that support RL algorithms.
Sai Deepa Kadaru   +2 more
doaj   +1 more source

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