Synchrony in the eye of the beholder: An analysis of the role of neural synchronization in cognitive processes [Book Review]
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Brain and Mind 3 (3):291-312 (2002)
We discuss the role of synchrony of activationin higher-level cognitive processes. Inparticular, we analyze the question of whethersynchrony of activation provides a mechanismfor compositional representation in neuralsystems. We will argue that synchrony ofactivation does not provide a mechanism forcompositional representation in neural systems.At face value, one can identify a level ofcompositional representation in the models thatintroduce synchrony of activation for thispurpose. But behavior in these models isalways produced by means conjunctiverepresentations in the form of coincidencedetectors. Therefore, models that rely onsynchrony of activation lack the systematicityand productivity of true compositional systems.As a result, they cannot distinguish betweentype and token representations, which resultsin misrepresentations of spatial relations andpropositions. Furthermore, higher-levelcognitive processes will likely integrateinformation from widely distributed areas inthe brain, which puts severe restrictions onthe underlying neural dynamics if synchrony ofactivation is to play a role in theseprocesses. We will briefly discuss theserestrictions in the case of feature binding invisual cognition
|Keywords||cognitive processes compositional representations conjunctive representations neurodynamics productivity synchrony systematicity|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Frank van der Velde (2013). Consciousness as a Process of Queries and Answers in Architectures Based on in Situ Representations. International Journal of Machine Consciousness 5 (1):27-45.
Similar books and articles
Lokendra Shastri (2006). Comparing the Neural Blackboard and the Temporal Synchrony-Based SHRUTI Architectures. Behavioral and Brain Sciences 29 (1):84-86.
Gregory A. Light (2004). Probing Cortico-Cortical Interactions That Underlie the Multiple Sensory, Cognitive, and Everyday Functional Deficits in Schizophrenia. Behavioral and Brain Sciences 27 (6):799-799.
Ruth Feldman, Linda C. Mayes & James E. Swain (2005). Interaction Synchrony and Neural Circuits Contribute to Shared Intentionality. Behavioral and Brain Sciences 28 (5):697-698.
Eric LaRock (2006). Why Neural Synchrony Fails to Explain the Unity of Visual Consciousness. Behavior and Philosophy 34:39-58.
Gualtiero Piccinini (2010). The Resilience of Computationalism. Philosophy of Science 77 (5):852-861.
Andrew A. Fingelkurts & Alexander A. Fingelkurts (2001). Operational Architectonics of the Human Brain Biopotential Field: Toward Solving the Mind-Brain Problem. [REVIEW] Brain and Mind 2 (3):261-296.
Eric Dietrich & A. Markman (2003). Discrete Thoughts: Why Cognition Must Use Discrete Representations. Mind and Language 18 (1):95-119.
Axel Cleeremans (2006). Computational Correlates of Consciousness. In Steven Laureys (ed.), The Boundaries of Consciousness: Neurobiology and Neuropathology: Progress in Brain Research. Elsevier
Stephen Grossberg (1997). Principles of Cortical Synchronization. Behavioral and Brain Sciences 20 (4):689-690.
Added to index2009-01-28
Total downloads27 ( #140,743 of 1,792,244 )
Recent downloads (6 months)10 ( #80,587 of 1,792,244 )
How can I increase my downloads?