@article{WillshawvonderMalsburg76,
	title = {How Patterned Neural Connections can be Set Up by Self-Organization},
	author = {D. J. Willshaw and C. von der Malsburg},
	journal = {Proceedings of the Royal Society (London) {B}},
	pages = {431-445},
	volume = {194},
	year = {1976},
	biburl = {http://www.bibsonomy.org/bibtex/2c4a83ccfef387a494d25d29641421f66/brian.mingus},
	description = {CCNLab BibTeX},
	keywords = {nnets }
}

@incollection{Willshaw81,
	title = {Holography, Associative Memory, and Inductive Generalization},
	address = {Hillsdale, NJ},
	author = {D. J. Willshaw},
	booktitle = {Parallel Models of Associative Memory},
	editor = {G. E. Hinton and J. A. Anderson},
	publisher = {Erlbaum},
	year = {1981},
	biburl = {http://www.bibsonomy.org/bibtex/2aeea7a78818a63610c61f53940e8b760/brian.mingus},
	description = {CCNLab BibTeX},
	keywords = {nnets }
}

@article{WillshawDayan90,
	title = {Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down},
	author = {D. Willshaw and P. Dayan},
	journal = {Neural Computation},
	pages = {85-93},
	volume = {2},
	year = {1990},
	biburl = {http://www.bibsonomy.org/bibtex/27a73ebc275d8ba7845346e6383abc296/brian.mingus},
	description = {CCNLab BibTeX},
	keywords = {nnets }
}

@article{RasmusseWillshaw93,
	title = {Presynaptic and Postsynaptic Competition in Models for the Development
	of Neuromuscular Connections},
	author = {C. E. Rasmusse and D. J. Willshaw},
	journal = {Biological Cybernetics},
	pages = {409-419},
	volume = {68},
	year = {1993},
	biburl = {http://www.bibsonomy.org/bibtex/29bb2291c4477b02bf8488df766a057fb/brian.mingus},
	description = {CCNLab BibTeX},
	keywords = {bio }
}

@article{MorrisWillshaw89,
	title = {Must What Goes Up Come Down?},
	author = {R. G. M. Morris and D. J. Willshaw},
	journal = {Nature},
	pages = {175-176},
	volume = {339},
	year = {1989},
	biburl = {http://www.bibsonomy.org/bibtex/2fdcfca19085a9e9d860fa86770afb117/brian.mingus},
	description = {CCNLab BibTeX},
	keywords = {ltp }
}

@inproceedings{GrahamWillshaw95,
	title = {Capacity and information efficiency of a brain-like associative net},
	address = {Cambridge, MA},
	annote = {KWTA},
	author = {B. Graham and D. Willshaw},
	booktitle = {Advances in Neural Information Processing Systems, 7},
	editor = {G. Tesauro and D. S. Touretzky and T. K. Leen},
	pages = {513-520},
	publisher = {MIT Press},
	year = {1995},
	biburl = {http://www.bibsonomy.org/bibtex/23d7c315d1ca1df52f5144c2fc2101d05/brian.mingus},
	description = {CCNLab BibTeX},
	keywords = {nnets }
}

@article{GoodhillSimmenWillshaw95,
	title = {An evaluation of the use of multidimensional scaling for understanding
	brain connectivity},
	author = {G. J. Goodhill and M. W. Simmen and D. J Willshaw},
	journal = {Phil. Trans. R. Soc. Land. B},
	pages = {265-280},
	volume = {348},
	year = {1995},
	biburl = {http://www.bibsonomy.org/bibtex/2eda8f91221a93eb84b93943874f79252/brian.mingus},
	description = {CCNLab BibTeX},
	keywords = {CCP JRR, NMDS, }
}

@article{DayanWillshaw91,
	title = {Optimising synaptic learning rules in linear associative memories},
	author = {Peter Dayan and David J. Willshaw},
	journal = {Biological Cybernetics},
	pages = {253},
	volume = {64},
	year = {1991},
	biburl = {http://www.bibsonomy.org/bibtex/26a3436e384dabf2863d54fe2a2345d96/brian.mingus},
	description = {CCNLab BibTeX},
	keywords = {nnets }
}

@inproceedings{conf/icann/BamfordMW08,
	title = {Synaptic Rewiring for Topographic Map Formation.},
	author = {Simeon A. Bamford and Alan F. Murray and David J. Willshaw},
	booktitle = {ICANN (2)},
	crossref = {conf/icann/2008-2},
	editor = {Vera Kurková and Roman Neruda and Jan Koutník},
	pages = {218-227},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	url = {http://dblp.uni-trier.de/db/conf/icann/icann2008-2.html#BamfordMW08},
	volume = {5164},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/2435f8e562caa39c9b22e465af98505e9/dblp},
	description = {dblp},
	date = {2008-09-01}, ee = {http://dx.doi.org/10.1007/978-3-540-87559-8_23}, isbn = {978-3-540-87558-1},
	keywords = {dblp }
}

@article{GoodhillSimmenWillshaw1995,
	title = {An evaluation of the use of multidimensional scaling for understanding brain connectivity},
	author = {G J Goodhill and M W Simmen and D J Willshaw},
	journal = {Philos Trans R Soc Lond B Biol Sci},
	month = {May},
	number = {1325},
	pages = {265-280},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/8577826},
	volume = {348},
	year = {1995},
	biburl = {http://www.bibsonomy.org/bibtex/22e4aa53368d31b22348979cf446927cf/tmalsburg},
	description = {An evaluation of the use of multidimensional scali...[Philos Trans R Soc Lond B Biol Sci. 1995] - PubMed Result},
	abstract = {A large amount of data is now available about the pattern of connections between brain regions. Computational methods are increasingly relevant for uncovering structure in such datasets. There has been recent interest in the use of non-metric multidimensional scaling (NMDS) for such analysis. NMDS produces a spatial representation of the 'dissimilarities' between a number of entities. Normally, it is applied to data matrices containing a large number of levels of dissimilarity, whereas for brain connectivity data there is a very small number. We address the suitability of NMDS for this case. Systematic numerical studies are presented to evaluate the ability of this method to reconstruct known geometrical configurations from dissimilarity data processing few levels. In this case there is a strong bias for NMDS to produce annular configurations, whether or not such structure exists in the original data. For the case of a connectivity dataset derived from the primate cortical visual system, we demonstrate that great caution is needed in interpreting the resulting configuration. Application of an independent method that we developed also strongly suggests that the visual system NMDS configuration is affected by an annular bias. We question the strength of support that an NMDS analysis of the visual system data provides for the two streams view of visual processing.},
	pmid = {8577826}, doi = {10.1098/rstb.1995.0068},
	keywords = {brainconnectivity critique dataanalysis dimensionalityreduction multidimensionalscaling }
}