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  1. Saskia van Dantzig, Antonino Raffone & Bernhard Hommel (2011). Acquiring Contextualized Concepts: A Connectionist Approach. Cognitive Science 35 (6):1162-1189.
    Conceptual knowledge is acquired through recurrent experiences, by extracting statistical regularities at different levels of granularity. At a fine level, patterns of feature co-occurrence are categorized into objects. At a coarser level, patterns of concept co-occurrence are categorized into contexts. We present and test CONCAT, a connectionist model that simultaneously learns to categorize objects and contexts. The model contains two hierarchically organized CALM modules (Murre, Phaf, & Wolters, 1992). The first module, the Object Module, forms object representations based on co-occurrences (...)
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  2. Cees van Leeuwen, David Alexander, Chie Nakatani, Andrey R. Nikolaev, Gijs Plomp & Antonino Raffone (2011). Gestalt has No Notion of Attention. But Does It Need One. Humana.Mente 17:35-68.
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  3. Antonino Raffone & Martina Pantani (2010). A Global Workspace Model for Phenomenal and Access Consciousness. Consciousness and Cognition 19 (2):580-596.
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  4. Antonino Raffone, Angela Tagini & Narayanan Srinivasan (2010). Mindfulness and the Cognitive Neuroscience of Attention and Awareness. Zygon 45 (3):627-646.
    Mindfulness can be understood as the mental ability to focus on the direct and immediate perception or monitoring of the present moment with a state of open and nonjudgmental awareness. Descriptions of mindfulness and methods for cultivating it originated in eastern spiritual traditions. These suggest that mindfulness can be developed through meditation practice to increase positive qualities such as awareness, insight, wisdom, and compassion. In this article we focus on the relationships between mindfulness, with associated meditation practices, and the cognitive (...)
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  5. Jaap Mj Murre, Gezinus Wolters & Antonino Raffone (2006). Binding in Working Memory and Long-Term Memory: Towards an Integrated Model. In Hubert Zimmer, Axel Mecklinger & Ulman Lindenberger (eds.), Handbook of Binding and Memory: Perspectives From Cognitive Neuroscience. Oup Oxford.
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  6. Antonino Raffone & Gary L. Brase (2006). The Key Role of Prefrontal Cortex Structure and Function. Behavioral and Brain Sciences 29 (1):22-22.
    The tension between focusing on species similarities versus species differences (phylogenetic versus adaptationist approaches) recurs in discussions about the nature of neural connectivity and organization following brain expansion. Whereas Striedter suggests a primary role for response inhibition, other possibilities include dense recurrent connectivity loops. Computer simulations and brain imaging technologies are crucial in better understanding actual neuronal connectivity patterns.
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  7. Antonino Raffone, Jaap M. J. Murre & Gezinus Wolters (2003). NMDA Synapses Can Bias Competition Between Object Representations and Mediate Attentional Selection. Behavioral and Brain Sciences 26 (1):100-101.
    Phillips & Silverstein emphasize the gain-control properties of NMDA synapses in cognitive coordination. We endorse their view and suggest that NMDA synapses play a crucial role in biased attentional competition and (visual) working memory. Our simulations show that NMDA synapses can control the storage rate of visual objects. We discuss specific predictions of our model about cognitive effects of NMDA-antagonists and schizophrenia.
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  8. Antonino Raffone, Marta Olivetti Belardinelli & Cees van Leeuwen (2001). Regularities, Context, and Neural Coding: Are Universals Reflected in the Experienced World? Behavioral and Brain Sciences 24 (4):701-702.
    Barlow's concept of the exploitation of environmental statistical regularities may be more plausibly related to brain mechanisms than Shepard's notion of internalisation. In our view, Barlow endorses a bottom-up approach to neural coding and processing, whereas we suggest that feedback interactions in the visual system, as well as chaotic correlation dynamics in the brain, are crucial in exploiting and assimilating environmental regularities. We also discuss the “conceptual tension” between Shepard's ideas of law internalisation and evolutionary adaptation. [Barlow; Shepard].
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  9. Antonino Raffone & Cees van Leeuwen (2001). Chaos and Neural Coding: Is the Binding Problem a Pseudo-Problem? Behavioral and Brain Sciences 24 (5):826-827.
    Tsuda's article suggests several plausible concepts of neurodynamic representation and processing, with a thoughtful discussion of their neurobiological grounding and formal properties. However, Tsuda's theory leads to a holistic view of brain functions and to the controversial conclusion that the “binding problem” is a pseudo-problem. By contrast, we stress the role of chaotic patterns in solving the binding problem, in terms of flexible temporal coding of visual scenes through graded and intermittent synchrony.
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  10. Gezinus Wolters & Antonino Raffone (2001). How Are Events Represented? Behavioral and Brain Sciences 24 (5):908-909.
    We note two important problems in the Theory of Event Coding. First, because the representational format of features and events is unspecified, the theory is difficult to test. Second, the theory lacks a mechanism for the integration of features into an event code when the features are shared by different events. Possible ways of solving these problems are suggested.
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