Results 231 to 240 of about 41,483 (313)

Peat fires contribute disproportionately to Siberian fire carbon emissions. [PDF]

open access: yesSci Adv
Khairoun A   +9 more
europepmc   +1 more source

Synchronization of Analog Neuron Circuits With Digital Memristive Synapses: An Hybrid Approach

open access: yesAdvanced Electronic Materials, EarlyView.
An hybrid circuit mimicking neural units coupled using memristive synapses is introduced. The analog neurons provide flexibility and robustness, and the digital memristive coupling guarantees the full reconfigurability of the interconnection. The onset of a synchronized spiking behavior in two circuits mimicking the Izhikevich neuron is discussed from ...
Lamberto Carnazza   +3 more
wiley   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

open access: yesAdvanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj   +4 more
wiley   +1 more source

Illuminating the Intracellular World: Breakthroughs in Nanoscale Optoelectronics

open access: yesAdvanced Electronic Materials, EarlyView.
This perspective explores optoelectronic biointerfaces spanning macroscale flexible devices to nanoscale intracellular systems, emphasizing their integration across dimensions. It examines capacitive, Faradaic, and photothermal mechanisms that enable light‐driven control of cellular activity and highlights key material and design challenges in ...
Tania Assaf, Menahem Y. Rotenberg
wiley   +1 more source

Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms

open access: yesAdvanced Electronic Materials, EarlyView.
Material strategies enabling stimulation and recording are central to neural biocomputing systems. This review examines how electronic materials govern the encoding of inputs and decoding of outputs in living neural networks. Advances in electrical, optical, and multimodal interfaces highlight emerging design principles for biocomputing platforms ...
Sehong Kang   +5 more
wiley   +1 more source

Cavity Microelectrode Arrays for Electrical Recordings From Neurons

open access: yesAdvanced Electronic Materials, EarlyView.
Microelectrode arrays (MEAs) are used to study electrophysiological activity. However, their signals are small with high noise. By adding a 100‐nanometer‐high cavity above the electrode, which reduces impedance without affecting resolution, we improve signal quality.
Johannes Lewen   +2 more
wiley   +1 more source

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