References
- Földiák P. Learning invariance from transformation sequences. Neural Comput. 1991; 3: 194–200
- Wallis G, Rolls E T, Földiák P. Learning invariant responses to the natural transformations of objects. Int. Joint Conf. on Neural Networks 1993; 1087–90
- Barrow H G, Bray A J. A model of adaptive development of complex cortical cells. Artificial Neural Networks II: Proc. Int. Conf. on Artificial Neural Networks, I Aleksander, J Taylor. Elsevier, Amsterdam 1992; 881–4
- Law C C, Cooper L N. Formation of receptive fields in realistic visual environments according to the Bienenstock, Cooper, and Munro (BCM) theory. Proc. Natl Acad. Sci. USA 1994; 91: 7797–801
- Bienenstock E L, Cooper L N, Munro P W. Theory for the development of neuron selectivity: Orientation specificity and binocular interaction in visual cortex. J. Neurosci. 1982; 2: 32–48
- Artola A, Singer W. Long-term depression of excitatory synaptic transmission and its relationship to long-term potentiation. Trends Neurosci. 1993; 16: 480–7
- Artola A, Bröcher S, Singer W. Different voltage-dependent thresholds for inducing long-term depression and long-term potentiation in slices of rat visual cortex. Nature 1990; 347: 69–72
- Stanton P K, Sejnowski T J. Associative long-term depression in the hippocampus: induction of synaptic plasticity of Hebbian covariance. Nature 1990; 339: 69–72
- Stone J V. Learning spatio-temporal invariances. Neural Computation and Psychology (Workshops in Computing Series), L S Smith, P J B Hancock. Springer, Berlin 1995; 75–85