References
- Hotelling H. Relation between two sets of variates. Biometrika 1936; 28: 321–77
- Kay J. Feature discovery under contextual supervision using mutual information. Proc. Int. Joint Conf. on Neural Networks 4. Baltimore, MD 1992; 79–84
- Becker S, Hinton G E. Self-organizing neural network that discovers surfaces in random-dot stereograms. Nature 1992; 355: 161–3
- Fox K, Sato H, Daw N. The effect of varying stimulus intensity on NMDA-receptor activity in cat visual cortex. J. Neurophysiol. 1990; 64: 1413–28
- Gilbert C D. Horizontal integration and cortical dynamics. Neuron 1992; 9: 1–13
- Hirsch J A, Gilbert C D. Synaptic physiology of horizontal connections in cat's visual cortex. J. Neurosci. 1991; 11: 1800–9
- Singer W. Synchronization of cortical activity and its putative role in information processing and learning. Ann. Rev. Physiol. 1993; 55: 349–74
- Lowel S, Singer W. Selection of intrinsic horizontal connections in the visual cortex by correlated neuronal activity. Science 1992; 255: 209–12
- Hirsch J A, Gilbert C D. Long-term changes in synaptic strength along specific intrinsic pathways in the cat visual cortex. J. Physiol. 1993; 461: 247–62
- Kay J, Phillips W A. Activation functions, computational goals and learning rules for local processors with contextual guidance. Technical Report CCCN-15 1994, Centre for Cognitive and Computational Neuroscience, University of Stirling
- Phillips W A, Kay J, Smyth D. How local cortical processors that maximize predictable variation could lay foundations for representation proper. Neural Computation and Psychology, L S Smith, P J B Hancock. Springer, Berlin 1995
- Kay J. Information-theoretic neural networks for the contextual guidance of learning and processing: The mathematical and statistical considerations. Technical Report. 1994, Scottish Agricultural and Statistical Service
- Smyth D. Simulations of networks of local processors with contextual guidance. Master's Thesis. Centre for Cognitive and Computational Neuroscience, University of Stirling. 1994
- Hamming R W. Coding and Information Theory. Prentice-Hall, Englewood Cliffs, NJ 1980
- Linsker R. Self-organization in a perceptual network. IEEE Computer, March. 1988; 105–17
- Schmidhuber J, Prelinger D. Discovering predictable classifications. Neural Comput. 1993; 5: 625–35
- 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
- Clothiaux E E, Bear M F, Cooper L N. Synaptic plasticity in visual cortex: Comparison of theory with experiment. J. Neurophysiol. 1991; 66: 1785–804
- Hancock H J B, Smith L S, Phillips W A. A biologically supported error-correcting learning rule. Neural Comput. 1991; 3: 201–12
- Kolen J F, Pollack J B. Back propagation is sensitive to initial conditions. Advances in Neural Information Processing Systems 3, R P Lippmann, J E Moody, D S Touretzky. Morgan Kaufmann, San Mateo, CA 1991; 860–7
- Kay J. Probabilistic modelling of a binary multiple output local processor: Local objective functions, local learning rules and approximations based on information theoretic ideas. Technical Report. 1994, Scottish Agricultural and Statistical Service
- Sillito A M, Jones H E, Gerstein G L, West D C. Feature-linked synchronization of thalamic relay cell firing induced by feedback from the visual cortex. Nature 1994; 369: 479–82