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Habituation in mosquito larvae Aedes aegypti is context-specific
(Company of Biologists, 2021-06)
Mosquito larvae live in water and perform a stereotyped escape response when a moving object projects its shadow on the water surface, indicating potential risk of predation. Repeated presentations of the shadow induce a ...
Effects of field-realistic doses of glyphosate on honeybee appetitive behaviour
(Company of Biologists, 2014-10)
Glyphosate (GLY) is a broad-spectrum herbicide used for weed control. The sub-lethal impact of GLY on non-target organisms such as insect pollinators has not yet been evaluated. Apis mellifera is the main pollinator in ...
Plasticity in the rat prefrontal cortex: linking gene expression and an operant learning with a computational theory
(Public Library of Science, 2010-01)
The plasticity in the medial Prefrontal Cortex (mPFC) of rodents or lateral prefrontal cortex in non human primates (lPFC), plays a key role neural circuits involved in learning and memory. Several genes, like brain-derived ...
Neophobia is negatively related to reversal learning ability in females of a generalist bird of prey, the Chimango Caracara, Milvago chimango
(Springer, 2017-03)
In an ever-changing environment, the ability to adapt choices to new conditions is essential for daily living and ultimately, for survival. Behavioural flexibility allows animals to maximise survival and reproduction in ...
Multimodal mechanisms of human socially reinforced learning across neurodegenerative diseases
(Oxford University Press, 2022)
Social feedback can selectively enhance learning in diverse domains. Relevant neurocognitive mechanisms have been studied mainly in healthy persons, yielding correlational findings. Neurodegenerative lesion models, coupled ...
Multimodal mechanisms of human socially reinforced learning across neurodegenerative diseases
(Oxford University Press, 2021-03)
Social feedback can selectively enhance learning in diverse domains. Relevant neurocognitive mechanisms have been studied mainly in healthy persons, yielding correlational findings. Neurodegenerative lesion models, coupled ...
An Apriori-Based Learning Scheme towards Intelligent Mining of Association Rules for Geological Big Data
(TSI, 2020)
The past decade has witnessed the rapid advancements of geological data analysis techniques, which facilitates the development of modern agricultural systems. However, there remains some technical challenges that should ...
Review: machine learning techniques applied to cybersecurity
Machine learning techniques are a set of mathematical models to solve high non-linearity problems of different topics: prediction, classification, data association, data conceptualization. In this work, the authors review ...