@string{SP = "Signal Processing"}
@string{NC = "Neural Computation"}

@book{AaK1989,
	author =	{E. Aarts and J. Korst},
	title =		{Simulated annealing and {B}oltzmann machines},
	publisher =	{John Wiley and Sons},
	year =		{1989},
	address =	{New York}
}

@article{Ade1983,
	author =	{F. Ade},
	title =		{Characterisation of textures by ``eigenfilters''},
	journal =	SP,
	volume =	{5},
	pages =		{451--457},
	year =		{1983}
}

@article{AGR1996,
	author =	{Joseph J. Atick and Paul A. Griffin and Redlich, A. Norman},
	title =		{The vocabulary of shape: principal shapes for probing
	perception and neural response},
	journal =	NC,
	volume =	{7},
	number =	{1},
	pages =		{1--5},
	month =		feb,
	year =		{1996},
	keywords =	{principal components, shape perception, eigenmode, eigenhead},
	abstract =	{Humans perceive shape rapidly and effortlessly but have
	great difficulties describing what they perceive. This suggests that
	the representation of shape in the brain is abstract and very unlike
	that used in conscious thought. Here we explore the proposal that this
	representation is matched to the statistical properties of objects in
	the environment. From an ensemble of several hundred laser-scanned
	three-dimensional (3D) human heads we extract the principal components
	which provide a compact basis for head shape. We show that, with good
	accuracy, a given head can be represented by linear combination of a
	few dozen primary shapes just as colours can be synthesized by
	combining the three principal colours. We suggest new perceptual
	adaptation experiments for testing the brain's shape representation
	system. The principal head shapes can also be used to probe response
	properties of `face-cells' in the inferior temporal cortex.}
}