Connectionists: New paper on why modules evolve, and how to evolve modular neural networks

[Terry Sejnowski]

G. Mitchison, Neuronal branching patterns and the economy of cortical wiring, Proc. Roy. Soc. London
B Biol. Sci. 245 (1991) 151{158

D.B. Chklovskii, C.F. Stevens, Wiring optimization in the brain, Neural Information Processing Systems
(1999)

Koulakov AA, Chklovskii DB. Orientation preference patterns in mammalian visual cortex: a wire length minimization approach.  Neuron. 2001 Feb;29(2):519-27.

Chklovskii DB, Schikorski T, Stevens CF. Wiring optimization in cortical circuits.
Neuron. 2002 Apr 25;34(3):341-7.

Terry

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> The paper mentions that Santiago Ram<F3>n y Cajal already pointed out  
> that evolution has created mostly short connections in animal brains.
> 
> Minimization of connection costs should also encourage modularization,  
> e.g., http://arxiv.org/abs/1210.0118 (2012).
> 
> But who first had such a wire length term in an objective function to  
> be minimized by evolutionary computation or other machine learning  
> methods?
> I am aware of pioneering work by Legenstein and Maass:
> 
> R. A. Legenstein and W. Maass. Neural circuits for pattern recognition  
> with small total wire length. Theoretical Computer Science,  
> 287:239-249, 2002.
> R. A. Legenstein and W. Maass. Wire length as a circuit complexity  
> measure. Journal of Computer and System Sciences, 70:53-72, 2005.
> 
> Is there any earlier relevant work? Pointers will be appreciated.
> 
> Juergen Schmidhuber
> http://www.idsia.ch/~juergen/whatsnew.html