A survey of brain inspired technologies for engineering
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[1] R. Sun. Artificial Intelligence: Connectionist and Symbolic Approaches , 1999 .
[2] Geoffrey E. Hinton. Tensor Product Variable Binding and the Representation of Symbolic Structures in Connectionist Systems , 1991 .
[3] Paul S. Rosenbloom,et al. The Sigma cognitive architecture and system , 2013 .
[4] Dharmendra S. Modha,et al. A digital neurosynaptic core using embedded crossbar memory with 45pJ per spike in 45nm , 2011, 2011 IEEE Custom Integrated Circuits Conference (CICC).
[5] P. Zelazo,et al. What is Cognitive Control , 2013 .
[6] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[7] Paul Smolensky,et al. Connectionist AI, symbolic AI, and the brain , 1987, Artificial Intelligence Review.
[8] A. Thomas,et al. Memristor-based neural networks , 2013 .
[9] Farnood Merrikh-Bayat,et al. Training and operation of an integrated neuromorphic network based on metal-oxide memristors , 2014, Nature.
[10] Jim D. Garside,et al. Overview of the SpiNNaker System Architecture , 2013, IEEE Transactions on Computers.
[11] Lyle N. Long,et al. A cognitive robotic system based on the soar cognitive architecture for mobile robot navigation, search, and mapping missions , 2011 .
[12] John E. Laird,et al. Enhancing intelligent agents with episodic memory , 2012, Cognitive Systems Research.
[13] Steve B. Furber,et al. The SpiNNaker Project , 2014, Proceedings of the IEEE.
[14] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[15] J. Laird,et al. Enhancing intelligent agents with episodic memory Action editor : Vasant Honavar , 2011 .
[16] John E. Laird,et al. Extending the Soar Cognitive Architecture , 2008, AGI.
[17] Andrew S. Cassidy,et al. A million spiking-neuron integrated circuit with a scalable communication network and interface , 2014, Science.
[18] Allen Newell,et al. SOAR: An Architecture for General Intelligence , 1987, Artif. Intell..
[19] Benjamin Naumann. The Architecture Of Cognition , 2016 .
[20] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[21] Peter I. Corke,et al. Visual Place Recognition: A Survey , 2016, IEEE Transactions on Robotics.
[22] Rodrigo Alvarez-Icaza,et al. Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations , 2014, Proceedings of the IEEE.
[23] Zachary Chase Lipton. A Critical Review of Recurrent Neural Networks for Sequence Learning , 2015, ArXiv.
[24] SchmidhuberJürgen. Deep learning in neural networks , 2015 .
[25] Lyle N. Long,et al. A hybrid symbolic and sub-symbolic intelligent system for mobile robots , 2009 .
[26] Pat Langley,et al. Cognitive architectures: Research issues and challenges , 2009, Cognitive Systems Research.
[27] Simon Haykin,et al. Neural Networks and Learning Machines , 2010 .
[28] Enrico Macii,et al. The Human Brain Project and neuromorphic computing. , 2013, Functional neurology.