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

John Bullinaria j.a.bullinaria at cs.bham.ac.uk
Mon Feb 25 11:32:26 EST 2013


Further references along these lines can be found in my own attempts  
to understand this topic by simulating how restricted neural  
connectivity proportions can lead to the evolution of modularity:

Bullinaria, J.A. (2007). Understanding the Emergence of Modularity in  
Neural Systems. Cognitive Science, 31, 673-695.

Bullinaria, J.A. (2009). The Importance of Neurophysiological  
Constraints for Modelling the Emergence of Modularity. In: D. Heinke  
& E. Mavritsaki (Eds), Computational Modelling in Behavioural  
Neuroscience: Closing the Gap Between Neurophysiology and Behaviour,  
187-208. Hove, UK: Psychology Press. (http://www.cs.bham.ac.uk/~jxb/ 
PUBS/INCMEM.pdf)

John.


On 24 Feb, 2013, at 03:49, Terry Sejnowski wrote:

> 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
>
> -----
>
>> 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




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