On the design of neural networks in the brain by genetic evolution

[1]  J. D. Bernal,et al.  “The Origins of Life” , 1957, Nature.

[2]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[3]  E. Bienenstock,et al.  Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex , 1982, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[4]  E. G. Jones Cerebral Cortex , 1987, Cerebral Cortex.

[5]  D. Ackley A connectionist machine for genetic hillclimbing , 1987 .

[6]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[7]  Peter Földiák,et al.  Learning Invariance from Transformation Sequences , 1991, Neural Comput..

[8]  Prof. Dr. Valentino Braitenberg,et al.  Anatomy of the Cortex , 1991, Studies of Brain Function.

[9]  T. Sacktor The Synaptic Organization of the Brain (3rd Ed.) , 1991 .

[10]  E T Rolls,et al.  Neurophysiological mechanisms underlying face processing within and beyond the temporal cortical visual areas. , 1992, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[11]  A. Treves Mean-field analysis of neuronal spike dynamics , 1993 .

[12]  Francesco Mondada,et al.  Automatic creation of an autonomous agent: genetic evolution of a neural-network driven robot , 1994 .

[13]  D. Cliff From animals to animats 3 : proceedings of the Third International Conference on Simulation of Adaptive Behavior , 1994 .

[14]  R. Palmer,et al.  Introduction to the theory of neural computation , 1994, The advanced book program.

[15]  Peter Somogyi,et al.  Diverse sources of hippocampal unitary inhibitory postsynaptic potentials and the number of synaptic release sites , 1994, Nature.

[16]  Jeffrey L. Elman,et al.  Learning and Evolution in Neural Networks , 1994, Adapt. Behav..

[17]  James L. McClelland,et al.  Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.

[18]  Lakhmi C. Jain,et al.  Automatic generation of a neural network architecture using evolutionary computation , 1995, Proceedings Electronic Technology Directions to the Year 2000.

[19]  Christopher G. Langton,et al.  Artificial life V : proceedings of the Fifth International Workshop on the Synthesis and Simulation of Living Systems , 1996 .

[20]  H. Bülthoff,et al.  Evolution of the Sensorimotor Control in an Autonomous Agent , 1996 .

[21]  E. Rolls,et al.  INVARIANT FACE AND OBJECT RECOGNITION IN THE VISUAL SYSTEM , 1997, Progress in Neurobiology.

[22]  Stewart W. Wilson,et al.  From Animals to Animats 5. Proceedings of the Fifth International Conference on Simulation of Adaptive Behavior , 1997 .

[23]  P. Kelly,et al.  Cellular and molecular bases of memory: synaptic and neuronal plasticity. , 1997, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[24]  D. Buonomano,et al.  Cortical plasticity: from synapses to maps. , 1998, Annual review of neuroscience.

[25]  P. Somogyi,et al.  Salient features of synaptic organisation in the cerebral cortex 1 Published on the World Wide Web on 3 March 1998. 1 , 1998, Brain Research Reviews.

[26]  Alessandro Treves,et al.  Stable and Rapid Recurrent Processing in Realistic Autoassociative Memories , 1998, Neural Computation.

[27]  E. Rolls,et al.  Neural networks and brain function , 1998 .

[28]  Phil Husbands,et al.  Better Living Through Chemistry: Evolving GasNets for Robot Control , 1998, Connect. Sci..

[29]  M. Posner The Brain and Emotion , 1999, Nature Medicine.

[30]  Edmund T. Rolls,et al.  A Model of Invariant Object Recognition in the Visual System: Learning Rules, Activation Functions, Lateral Inhibition, and Information-Based Performance Measures , 2000, Neural Computation.

[31]  E T Rolls,et al.  Invariant object recognition in the visual system with error correction and temporal difference learning , 2001, Network.

[32]  勇一 作村,et al.  Biophysics of Computation , 2001 .