Results 71 to 80 of about 32,135 (307)
Semantic priming in children: an event-related potential (ERP) study
Event-related potential (ERP) analysis associated with semantic priming is traditionally based on the comparison between experimental conditions of the mean amplitude values, which are within the range of the N400 component latency. In this study, we used a complete ERP dataset to examine whether middle- and long-latency components are modulated by ...
Paula López-Alanís +7 more
openaire +2 more sources
ABSTRACT Integrating sustainability not only into corporate strategy and product design is essential to address pressing global challenges. This study proposes a framework that integrates social life cycle assessment (S‐LCA) into time‐driven activity‐based costing (TD‐ABC) to manage both social and economic issues by assessing social impacts across ...
Widiene Essouid +4 more
wiley +1 more source
ABSTRACT Growing concerns about the environmental and social consequences of plastics around the world, manufacturing industries are associated with business are focusing on sustainable end‐of‐life options‐based solutions which aim at increasing the product life cycle.
Sivakumar Kirupanandan +3 more
wiley +1 more source
The anticipation of action effects is a basic process that can be observed even for key-pressing responses in a stimulus-response paradigm. In Ziessler, Nattkemper and Vogt’s (2012) experiments participants first learned arbitrary effects of key-pressing
Neil Richard Harrison, Michael eZiessler
doaj +1 more source
Glucose modulates event-related potential components of recollection and familiarity in healthy adolescents. [PDF]
Introduction Behavioural evidence supports the notion that oral glucose ingestion enhances recognition memory judgements based on recollection, but not familiarity.
Riby, Leigh +18 more
core +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
The neuronal correlate of a rare explicit bi-directional synaesthesia was investigated with numerical and physical size comparison tasks using both functional magnetic resonance imaging and event-related potentials. Interestingly, although participant I.
Cohen Kadosh, K +8 more
core +1 more source
Neurochemical substrates and neuroanatomical generators of the event-related P300 [PDF]
The present review focuses on the current knowledge of the neurochemical processes and neuronal structures involved in the generation of P300. The increasing knowledge in this area facilitates the physiological interpretation of P300 findings as well as ...
Bottlender, Ronald +2 more
core +1 more source
Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment
This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng +11 more
wiley +1 more source
Effects of Nicotine on the Neurophysiological and Behavioral Effects of Ketamine in Humans
Background: N-methyl-D-aspartate (NMDA) receptor hypofunction has been implicated in the pathophysiology of schizophrenia and its associated neurocognitive impairments.
Daniel H Mathalon +18 more
doaj +1 more source

