Results 201 to 210 of about 363,084 (286)

Stereo‐EEG mapping of visual working memory with task‐related high‐gamma modulations

open access: yesEpilepsia, EarlyView.
Abstract Objective We describe a safe, informative, and easy‐to‐implement approach for presurgical mapping of visual working memory (VWM) with stereo‐electroencephalography (SEEG). Methods Twenty‐four patients with drug‐resistant epilepsy, 11–23 years of age, performed a single‐probe change detection VWM task, during SEEG monitoring.
Brian Ervin   +13 more
wiley   +1 more source

Timing is everything: The effect of early‐life seizures on developing neuronal circuits subserving spatial memory

open access: yesEpilepsia Open, EarlyView.
Abstract Spatial memory, the aspect of memory involving encoding and retrieval of information regarding one's environment and spatial orientation, is a complex biological function incorporating multiple neuronal networks. Hippocampus‐dependent spatial memory is not innate and emerges during development in both humans and rodents.
Gregory L. Holmes
wiley   +1 more source

Ketogenic diet for infantile epileptic spasms

open access: yesEpilepsia Open, EarlyView.
Abstract Approximately half of all cases of Infantile Epileptic Spasms Syndrome (IESS) do not respond to vigabatrin and hormonal therapies. There is no clear consensus as to the second‐line therapy for IESS. Ketogenic diet (KD) has emerged as an effective treatment for certain drug‐resistant epilepsies and in many cases of IESS.
Morris H. Scantlebury   +3 more
wiley   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

open access: yesEnergy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga   +6 more
wiley   +1 more source

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

open access: yesEnergy Science &Engineering, EarlyView.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan   +5 more
wiley   +1 more source

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