Results 71 to 80 of about 209,899 (291)
FEBS Open Bio, EarlyView.Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane +11 more
wiley +1 more source
The power of associative learning and the ontogeny of optimal behaviour [PDF]
Royal Society Open Science, 2016 Behaving efficiently (optimally or near-optimally) is central to animals' adaptation to their environment. Much evolutionary biology assumes, implicitly or explicitly, that optimal behavioural strategies are genetically inherited, yet the behaviour of ...
Magnus Enquist +2 more
doaj +1 more source
A review of associative classification mining [PDF]
, 2007 Associative classification mining is a promising approach in data mining that utilizes the association rule discovery techniques to construct classification systems, also known as associative classifiers.
Thabtah, Fadi
core +1 more source
FEBS Open Bio, EarlyView.Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley +1 more source
Frontiers in Computational Neuroscience, 2014 Associative learning of temporally disparate events is of fundamental importance for perceptual and cognitive functions. Previous studies of the neural mechanisms of such association have been mainly focused on individual neurons or synapses, often with ...
John ePalmer, Pulin eGong
doaj +1 more source
Symbolic Versus Associative Learning [PDF]
Cognitive Science, 2010 AbstractRamscar and colleagues (2010, this volume) describe the “feature‐label‐order” (FLO) effect on category learning and characterize it as a constraint on symbolic learning. I argue that FLO is neither a constraint on symbolic learning in the sense of “learning elements of a symbol system” (instead, it is an effect on nonsymbolic, association ...
openaire +2 more sources
Why human connection is the true metric of research success
FEBS Open Bio, EarlyView.Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan +3 more
wiley +1 more source
Associative learning of concepts
Computer Assisted Methods in Engineering and Science, 2022 Humans find it extremely easy to say if two words are related or if one word is more related to a given word than another one. For example, if we come across two words - 'car' and 'bicycle', we know they are related since both are means of transport ...
Viliam Rockai, Robert Kende
doaj
Frontiers in Psychology, 2014 People with grapheme-colour synaesthesia perceive enriched experiences of colours in response to graphemes (letters, digits). In this study, we examined whether these synaesthetes show a generic associative memory advantage for stimuli that do not elicit
Gaby ePfeifer +4 more
doaj +1 more source
Information theory and representation in associative word learning [PDF]
, 2003 A significant portion of early language learning can be viewed as an associative learning problem. We investigate the use of associative language learning based on the principle that words convey Shannon information about the environment.
Burns, Brendan +3 more
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