Tham khảo Mạch thần kinh

  1. ↑ Purves, Dale (2011). Neuroscience (ấn bản 5). Sunderland, Mass.: Sinauer. tr. 507. ISBN 9780878936953. 
  2. ↑ “Neural Circuits | Centre of Excellence for Integrative Brain Function”. Centre of Excellence for Integrative Brain Function (bằng tiếng en-AU). 13 tháng 6 năm 2016. Truy cập ngày 4 tháng 6 năm 2018.  Bảo trì CS1: Ngôn ngữ không rõ (link)
  • Agre, Philip E. (1997). Learning in Doing: Social, Cognitive and Computational Perspectives. Comparative Cognitive Robotics. Nhà xuất bản Đại học Cambridge. tr. 80. ISBN 0-521-38603-9. 
  • Arbib, Michael A. biên tập (1995). The Handbook of Brain Theory and Neural Networks. 
  • Alspector, Bằng sáng chế Hoa Kỳ số 4.874.963 "Neuromorphic learning networks". 17 tháng 10 năm 1989.
  • Bertsekas, Dimitri P. (1999). Nonlinear Programming. 
  • Bertsekas, Dimitri P.; Tsitsiklis, John N. (1996). Neuro-dynamic Programming. 
  • Boyd, Stephen; Vandenberghe, Lieven (2004). Convex Optimization. 
  • Fukushima Kunihiko (1975). “Cognitron: A Self-Organizing Multilayered Neural Network”. Biological Cybernetics 20: 121–136. 
  • Gardner, E.J.; Derrida, B. (1988). “Optimal storage properties of neural network models”. Journal of Physics A 21: 271–284. 
  • Krauth, W.; Mezard, M. (1989). “Storage capacity of memory with binary couplings”. Journal de Physique 50: 3057–3066. 
  • Maass, W.; Markram, H. (2002). “On the computational power of recurrent circuits of spiking neurons”. Journal of Computer and System Sciences. 69(4): 593–616. 
  • MacKay, David (2003). Information Theory, Inference, and Learning Algorithms. 
  • Mandic, D.; Chambers, J. (2001). Recurrent Neural Networks for Prediction: Architectures, Learning algorithms and Stability. Wiley. 
  • Minsky, M.; Papert, S. (1969). An Introduction to Computational Geometry. Nhà xuất bản MIT. 
  • Muller, P.; Insua, D.R. (1995). “Issues in Bayesian Analysis of Neural Network Models”. Neural Computation 10: 571–592. 
  • Reilly, D.L.; Cooper, L.N.; Elbaum, C. (1982). “A Neural Model for Category Learning”. Biological Cybernetics 45: 35–41. 
  • Rosenblatt, F. (1962). Principles of Neurodynamics. Spartan Books. 
  • Sutton, Richard S.; Barto, Andrew G. (1998). Reinforcement Learning: An introduction. 
  • Wilkes, A.L.; Wade, N.J. (1997). “Bain on Neural Networks”. Brain and Cognition 33: 295–305. 
  • Wasserman, P.D. (1989). Neural computing theory and practice. Van Nostrand Reinhold. 

Tài liệu tham khảo

WikiPedia: Mạch thần kinh http://www.igi.tugraz.at/maass/publications.html http://www.cs.ualberta.ca/~sutton/book/the-book.ht... http://www.google.com/patents?vid=4874963 http://www.gfai.de/~heinz/publications/NI/index.ht... http://www.stanford.edu/~boyd/cvxbook/ http://nba.uth.tmc.edu/neuroscience/s1/introductio... http://www.willamette.edu/~gorr/classes/cs449/brai... http://wormweb.org/neuralnet.html http://www.ymer.org/amir/software/biological-neura... http://www.inference.phy.cam.ac.uk/mackay/itprnn/b...