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References
Abraham, W.C., and Bear, M.F. (1996) Metaplasticity: the plasticity of synaptic plasticity. Trends in Neuroscience 19:126–130.
Abraham, W.C., and Tate, W.P. (1997) Metaplasticity: a new vista across the field of synaptic plasticity, Progress in Neurobiology 52:303–323.
Artola, A , Brocher, S., and Singer, W. (1990) Different voltage-dependent threshold for inducing long-term depression and long-term potentiation in slices of rat visual còrtex. Nature 347:69–72
Bear, M.F., Connors, B.W., and Paradise, M.A. (2001) Neuroscience. Exploring the Brain. Lippincott, Williams & Wilkins. USA
Bienestock, E.L., Cooper, L.N., and Munro, P.W. (1982) Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual còrtex. The Journal of Neurosciences 2(1):32–48.
Carandini, M., and Heeger, D.J. (1994) Summation and division by neurons in primate visual cortex. Science 264(5163):1333–6.
Carpenter, G., and Grossberg, S. (1988) The ART of adaptive pattern recognition by a self-organizing neural network. Computer 21(3):77–88
Deschenes, M., Madariaga-Domich, A., and Steriade, M. (1985) Dendrodendrìtic synapses in the cat reticularis thalami nucleus: a structural basis for thalamic spindle synchronization. Brain Research 334:165–168.
Desai, N.S., Rutherford, L.C., and Turrigiano, G.G. (1999) Plasticity in the intrinsic excitability of cortical pyramidal neurons, Nature Neurosciences 2:515–520
Hopfield, J.J. (1982) Neural Networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences 79:2554–2558
Kohonen, T. (1982) Self-organized formation of topologically correct feature maps. Biological Cybernetics 43:59–69.
Llinàs, R., and Jahnsen, H. (1982) Electrophysiology of mammalian thalamic neurones in vitro. Nature 297:406–408
Llinas, R., Ribary, U., Joliot, M., and Wang, X.J. (1994). Content and Context in Temporal Thalamocortical Binding. In G.Buzsaki et al. (Eds.), Temporal Coding in the Brain (pp. 151–72). Berlin: Spring-Verlag
McClelland, J.L., Rumelhart, D.E., and The PDP Research Group. (1986). Parallel distributed processing: Exploration in the microstructure of cognition. Cambridge, MA: MIT Press.
McClelland, J.L., and Rumelhart, D.E. (1988). Explorations in parallel distributed processing. Cambridge, MA: MIT Press.
McCormick, D.A., and Pape, H.-C. (1990) Properties of a hyperpolarization activated cation current and its role in rhytmic oscillation in thalamic relay nurons. Journal of Physiology (London) 431:291–318.
McCulloch, W. and Pitts, W. (1943) A logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biophysics, 1943.
Ropero Pelàez, J. (1996) A Formal Representation of Thalamus and Cortex Computation. Proceedings of the International Conference of Brain Processes, Theories and Models. Edited by Roberto Moreno-Dìaz and Josè Mira-Mira. MIT Press.
Ropero Pelàez, J. (1997) Plato’s theory of ideas revisited. Neural Networks, 1997 Special issue 10(7): 1269–1288.
Ropero Pelaez, J., and Godoy Simoes, M. (1999) A computational model of synaptic metaplasticity. Proceedings of the International Joint Conference of Neural Networks 1999. Washington DC.
Ropero Pelàez, J. (2000) Towards a neural network based therapy for hallucinatory disorders. Neural Networks, 2000 Special Issue 13(2000):1047–1061.
Ropero Pelàez, J. (2003) Phd Thesis in Neuroscience: Aprendizaje en un modelo computacional del tàlamo. Faculty of Medicine. Autònoma University of Madrid.
Rosenblatt, F. (1956) The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review 65:386–408
Steriade, M., Domich, L., Oakson, G., and Deschenes, M. (1987) The deafferented reticular thalamic nucleus generates spindle rhythmicity. The Journal of Neurophysiology 57:260–273.
Steriade, M., and Llinas, R.R. (1988), The Functional State of the Thalamus and the Associated Neuronal Interplay. Physiological Review 68(3):649–739.
Tompa, P., and Friedrich, P. (1998). Synaptic metaplasticity and the local charge effect in postsynaptic densities. Trends in Neuroscience 21(3):97–101.
Turrigiano, G.G., Leslie, K.R., Desai, N.S., Rutherford, L.C., and Nelson, S.B. (1998) Activity-dependent scaling of quantal amplitude in neocortical neurons. Nature 391:892–896.
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Pelàez, J.R., Castillo Piqueira, J.R. (2007). Biological Clues for Up-to-Date Artificial Neurons. In: Andina, D., Pham, D.T. (eds) Computational Intelligence. Springer, Boston, MA. https://doi.org/10.1007/0-387-37452-3_6
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DOI: https://doi.org/10.1007/0-387-37452-3_6
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