Gray CM (1999) The temporal correlation hypothesis of visual feature integration: still alive and well.
Neuron 24(1):31-47.
Grossberg S (1987) Competitive learning: from interactive activation to adaptive resonance. Cognitive Sci
11:23-63.
HausserM (2001) Synapticfunction: dendritic democracy. CurrBiol 11:R10-12.
Hausser M, Spruston N, Stuart GJ (2000) Diversity and dynamics of dendritic signalling. Science
290(5492):739-744.
Hertz J, Krogh A, Palmer RG (1991) Introduction to the Theory of Neural Computation. Redwood City,
California: Addison-Wesley.
Kim HG, Beierlein M, Connors BW (1995) Inhibitory control of excitable dendrites in neocortex. J
Neurophysiol 74(4):1810-1814.
Koch C, Poggio T, Torre V (1983) Nonlinear interactions in a dendritic tree: localization, timing, and role
in information processing. Proc Natl Acad Sci USA 80(9):2799-2802.
Koch K, Segev I (2000) The role of single neurons in information processing. Nature Neurosci [Suppl]
3:1171-1177.
Kohonen T (1997) Self-Organizing Maps. Berlin: Springer.
Marshall JA (1995) Adaptive perceptual pattern recognition by self-organizing neural networks: context,
uncertainty, multiplicity, and scale. Neural Networks 8(3):335-362.
Marshall JA, Gupta VS (1998) Generalization and exclusive allocation of credit in unsupervised category
learning. Network - Comput Neural Syst 9(2):279-302.
Mel BW (1993) Synaptic integration in an excitable dendritic tree. J Neurophysiol 70(3):1086-1101.
Mel BW (1994) Information processing in dendritic trees. Neural Comput 6:1031-1085.
Mel BW (1999) Why have dendrites? A computational perspective. In: Dendrites (Stuart G, Spruston N,
HausserM, eds.), pp. 271-289. Oxford: OxfordUniversity Press.
Mountcastle VB (1998) Perceptual Neuroscience: The Cerebral Cortex. Cambridge, Massachusetts: Har-
vard University Press.
Nigrin A (1993) Neural Networks for Pattern Recognition. Cambridge, Massachusetts: MIT Press.
Oja E (1989) Neural networks, principle components, and subspaces. Int J Neural Syst 1:61-68.
O’Reilly RC (1998) Six principles for biologically based computational models of cortical cognition.
Trends Cog Sci 2(11):455-462.
Rall W (1964) Theoretical significance of dendritic trees for neuronal input-output relations. In: Neural
Theory and Modeling (Reiss RF, ed.), pp. 73-97. Stanford, California: Stanford University Press.
Reynolds JH, Desimone R (1999) The role of neural mechanisms of attention in solving the binding
problem. Neuron 24(1):19-29.
Ritter H, Martinetz T, Schulten K (1992) Neural Computation and Self-Organizing Maps. An Introduction.
Reading, Massachusetts: Addison-Wesley.
Rockland KS (1998) Complex microstructures of sensory cortical connections. Curr Opin Neurobiol
8:545-551.
Roelfsema PR, Lamme VAF, Spekreijse H (2000) The implementation of visual routines. Vision Res
40:1385-1411.