David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Synthese 153 (3):377-391 (2006)
The “top-down” and “bottom-up” approaches have been thought to exhaust the possibilities for doing cognitive neuroscience. We argue that neither approach is likely to succeed in providing a theory that enables us to understand how cognition is achieved in biological creatures like ourselves. We consider a promising third way of doing cognitive neuroscience, what might be called the “neural dynamic systems” approach, that construes cognitive neuroscience as an autonomous explanatory endeavor, aiming to characterize in its own terms the states and processes responsible for brain-based cognition. We sketch the basic motivation for the approach, describe a particular version of the approach, so-called ‘Dynamic Causal Modeling’ (DCM), and consider a concrete example of DCM. This third way, we argue, has the potential to avoid the problems that afflict the other two approaches
|Keywords||SUPERIOR COLLICULUS VISUAL-CORTEX FMRI CONNECTIVITY MODULATION ATTENTION V2|
|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
Robyn Bluhm (2013). New Research, Old Problems: Methodological and Ethical Issues in fMRI Research Examining Sex/Gender Differences in Emotion Processing. Neuroethics 6 (2):319-330.
John Collins (2009). The Limits of Conceivability: Logical Cognitivism and the Language Faculty. Synthese 171 (1):175 - 194.
Similar books and articles
Jean Bullier (1999). Visual Perception is Too Fast to Be Impenetrable to Cognition. Behavioral and Brain Sciences 22 (3):370-370.
Olaf Sporns (2000). Synthetic Approaches to Cognitive Neuroscience. Behavioral and Brain Sciences 23 (4):548-549.
Nicholas Maxwell (1985). Methodological Problems of Neuroscience. In David Rose & Vernon Dobson (eds.), Models of the Visual Cortex. New York: John Wiley & Sons.
Jeffrey S. Poland & Barbara Von Eckardt (2004). Mechanism and Explanation in Cognitive Neuroscience. Philosophy of Science 71 (5):972-984.
Chris Eliasmith (forthcoming). Computational Neuroscience. In Paul R. Thagard (ed.), Philosophy of Psychology and Cognitive Science. Elsevier.
Richard P. Cooper & Tim Shallice (2010). Cognitive Neuroscience: The Troubled Marriage of Cognitive Science and Neuroscience. Topics in Cognitive Science 2 (3):398-406.
John Schlag (2007). Should the Superficial Superior Colliculus Be Part of Merker's Mesodiencephalic System? Behavioral and Brain Sciences 30 (1):105-106.
Hannu Tiitinen (2001). How to Interface Cognitive Psychology with Cognitive Neuroscience? Behavioral and Brain Sciences 24 (1):148-149.
Martha J. Farah (2000). The Cognitive Neuroscience of Vision. Blackwell Publishers.
Enrique Frias-Martinez & Fernand Gobet (2007). Automatic Generation of Cognitive Theories Using Genetic Programming. Minds and Machines 17 (3):287-309.
Added to index2009-01-28
Total downloads49 ( #33,993 of 1,102,731 )
Recent downloads (6 months)3 ( #120,386 of 1,102,731 )
How can I increase my downloads?