David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
Learn more about PhilPapers
Philosophical Psychology 9 (1):61-78 (1996)
Accounting for phenomenal structure—the forms, aspects, and features of conscious experience—poses a deep challenge for the scientific study of consciousness, but rather than abandon hope I propose a way forward. Connectionism, I argue, offers a bi-directional analogy, with its oft-noted “neural inspiration” on the one hand, and its largely unnoticed capacity to illuminate our phenomenology on the other. Specifically, distributed representations in a recurrent network enable networks to superpose categorical, contextual, and temporal information on a specific input representation, much as our own experience does. Artificial neural networks also suggest analogues of four salient distinctions between sensory and nonsensoty consciousness. The paper concludes with speculative proposals for discharging the connectionist heuristics to leave a robust, detailed empirical theory of consciousness.
|Keywords||Cognition Consciousness Mind Neuroscience Science|
|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
Thomas Nagel (1974). What is It Like to Be a Bat? Philosophical Review 83 (October):435-50.
Jeffrey L. Elman (1990). Finding Structure in Time. Cognitive Science 14 (2):179-211.
Citations of this work BETA
Gerard O'Brien & Jonathan Opie (1997). Cognitive Science and Phenomenal Consciousness: A Dilemma, and How to Avoid It. Philosophical Psychology 10 (3):269-86.
Elizabeth Schier (2009). Identifying Phenomenal Consciousness. Consciousness and Cognition 18 (1):216-222.
Similar books and articles
Keith Butler (1994). Neural Constraints in Cognitive Science. Minds and Machines 4 (2):129-62.
David Rose (2006). Consciousness: Philosophical, Psychological and Neural Theories. Oxford University Press.
Takeshi Ieshima & Akifumi Tokosumi (2002). Modularity and Hierarchy: A Theory of Consciousness Based on the Fractal Neural Network. In Kunio Yasue, Marj Jibu & Tarcisio Della Senta (eds.), No Matter, Never Mind: Proceedings of Toward a Science of Consciousness: Fundamental Approaches (Tokyo '99). John Benjamins 349-355.
Andrew Brook & Kathleen Akins (eds.) (2005). Cognition and the Brain: The Philosophy and Neuroscience Movement. Cambridge University Press.
Antti Revonsuo (1998). How to Take Consciousness Seriously in Cognitive Neuroscience. Communication and Cognition: An Interdisciplinary Quarterly Journal 30 (3-4):185-205.
Gerard O'Brien & Jonathan Opie (1999). A Connectionist Theory of Phenomenal Experience. Behavioral and Brain Sciences 22 (1):127-48.
Michel Ferrari & Adrien Pinard (2006). Death and Resurrection of a Disciplined Science of Consciousness. Journal of Consciousness Studies 13 (12):75-96.
David J. Chalmers (2004). How Can We Construct a Science of Consciousness? In Michael S. Gazzaniga (ed.), The Cognitive Neurosciences Iii. MIT Press 1111--1119.
Dan Lloyd (1995). Consciousness: A Connectionist Manifesto. [REVIEW] Minds and Machines 5 (2):161-85.
Pete Mandik (2007). The Neurophilosophy of Consciousness. In Max Velmans & Susan Schneider (eds.), The Blackwell Companion to Consciousness. Blackwell 418--430.
Added to index2009-01-28
Total downloads14 ( #314,307 of 1,940,986 )
Recent downloads (6 months)2 ( #333,940 of 1,940,986 )
How can I increase my downloads?