Andrea Bocincova
Postdoctoral Researcher
I am a Post-Doc interested in exploring brain activity and its role in cognition. I am particularly interested in the mechanisms of selective attention and working memory, and how these functions and their interactions are supported, regulated and reflected in neural activity. The main goal of my post-doc is to test a new conceptual model of working memory (Manohar et al., 2019) using a combination of computational modelling simulations and analysis of behavioural and neurophysiological data.
Recent publications
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A common neural network architecture for visual search and working memory
Journal article
Bocincova A. et al, (2020), VISUAL COGNITION, 28, 356 - 371
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Experimentally induced nostalgia reduces the amplitude of the event-related negativity.
Journal article
Bocincova A. et al, (2019), Soc Neurosci, 14, 631 - 634
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The time course of encoding and maintenance of task-relevant versus irrelevant object features in working memory.
Journal article
Bocincova A. and Johnson JS., (2019), Cortex, 111, 196 - 209
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The role of top-down suppression in mitigating the disruptive effects of task-irrelevant feature changes in visual working memory.
Journal article
Bocincova A. et al, (2017), Mem Cognit, 45, 1411 - 1422
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Assessing the evidence for a cue-induced trade-off between capacity and precision in visual working memory using mixture modelling and Bayesian model comparison.
Journal article
Bocincova A. et al, (2016), Vis cogn, 24, 435 - 446