David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Neural Computation 10 (7):1601--1638 (1998)
We review the pros and cons of analog and digital computation. We propose that computation that is most efficient in its use of resources is neither analog computation nor digital computation but, rather, a mixture of the two forms. For maximum efficiency, the information and information-processing resources of the hybrid form must be distributed over many wires, with an optimal signal-to-noise ratio per wire. Our results suggest that it is likely that the brain computes in a hybrid fashion and that an underappreciated and important reason for the efficiency of the human brain, which consumes only 12 W, is the hybrid and distributed nature of its architecture.
|Keywords||No keywords specified (fix it)|
|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
Whit Schonbein (2014). Varieties of Analog and Digital Representation. Minds and Machines 24 (4):415-438.
Chris Eliasmith (2007). How to Build a Brain: From Function to Implementation. Synthese 153 (3):373-388.
Similar books and articles
Nir Fresco (2013). Information Processing as an Account of Concrete Digital Computation. Philosophy and Technology 26 (1):31-60.
Bruce J. MacLennan (1993). Grounding Analog Computers. Philosophical Explorations 2:8-51.
Corey J. Maley (2011). Analog and Digital, Continuous and Discrete. Philosophical Studies 155 (1):117-131.
Kazuyuki Aihara & Jun Kyung Ryeu (2001). Chaotic Neurons and Analog Computation. Behavioral and Brain Sciences 24 (5):810-811.
Russell Trenholme (1994). Analog Simulation. Philosophy of Science 61 (1):115-131.
Matthew Katz (2008). Analog and Digital Representation. Minds and Machines 18 (3):403-408.
Hava T. Siegelmann (2003). Neural and Super-Turing Computing. Minds and Machines 13 (1):103-114.
John Haugeland (1981). Analog and Analog. Philosophical Topics 12 (1):213-226.
Added to index2009-10-12
Total downloads11 ( #219,154 of 1,726,249 )
Recent downloads (6 months)3 ( #231,316 of 1,726,249 )
How can I increase my downloads?