Z. Shi, Mind Computation, 2017.
DOI : 10.1142/10174

URL : https://www.worldscientific.com/doi/pdf/10.1142/9789813145818_fmatter

J. Digiovanna, B. Mahmoudi, and J. Fortes, Coadaptive Brain???Machine Interface via Reinforcement Learning, IEEE Transactions on Biomedical Engineering, vol.56, issue.1, pp.54-64, 2009.
DOI : 10.1109/TBME.2008.926699

O. Fukuyama, T. Suzuki, and K. Mabuchi, RatCar: A vehicular neuro-robotic platform for a rat with a sustaining structure of the rat body under the vehicle, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010.
DOI : 10.1109/IEMBS.2010.5627391

O. Doherty, J. E. Lebedev, M. A. Ifft, and P. J. , Active tactile exploration using a brain-machine-brain interface, Nature, issue.7372, pp.479-228, 2011.

Y. M. Wang, M. L. Lu, and Z. H. Wu, Ratbot: A rat " understanding " what humans see, conjunction with IJCAI-2013?63?68, 2013.

B. Gray, Collaborating: Finding Common Ground for Multiparty Problems, 1989.

Z. Wu, Y. Zhou, Z. Shi, C. Zhang, G. Li et al., Cyborg Intelligence: Recent Progress and Future Directions, IEEE Intelligent Systems, vol.31, issue.6, pp.44-50, 2016.
DOI : 10.1109/MIS.2016.105

T. W. Berger, A cortical neural prosthesis for restoring and enhancing memory, Journal of Neural Engineering, vol.8, issue.4, 2011.
DOI : 10.1088/1741-2560/8/4/046017

URL : http://europepmc.org/articles/pmc3141091?pdf=render

Z. Wu, G. Pan, and N. Zheng, Cyborg Intelligence. IEEE Intelligent Systems, vol.28, issue.5, pp.31-33, 2013.

Z. Feng, A remote control training system for rat navigation in complicated environment, Journal of Zhejiang University-SCIENCE A, vol.8, issue.2, pp.323-330, 2007.
DOI : 10.1631/jzus.2007.A0323

Y. Yu, N. Zheng, and Z. Wu, Automatic training of ratbot for navigation, conjunction with IJCAI-2013, 2013.

Z. Wu, N. Zheng, S. Zhang, X. Zheng, L. Gao et al., Maze learning by a hybrid brain-computer system, Scientific Reports, vol.8, issue.1, p.31746, 2016.
DOI : 10.1631/jzus.2007.A0323

Y. Wang, Visual Cue-Guided Rat Cyborg for Automatic Navigation [Research Frontier], IEEE Computational Intelligence Magazine, vol.10, issue.2, pp.42-52, 2015.
DOI : 10.1109/MCI.2015.2405318

Z. Shi, J. Zhang, J. Yue, and X. Yang, A Cognitive Model for Multi-Agent Collaboration, International Journal of Intelligence Science, vol.04, issue.01, pp.1-6, 2014.
DOI : 10.4236/ijis.2014.41001

G. Ma, X. Yang, C. Lu, B. Zhang, and Z. Shi, A visual awareness pathway in cognitive model ABGP, High Technology Letters, vol.22, issue.4, pp.395-403, 2016.

A. Maslow, Motivation and Personality, 1954.

R. G. Green, W. W. Beatty, and R. M. Arkin, Human motivation: physiological, behavioral and social approaches, 1984.

K. E. Merrick, Modelling Motivation for Experience-Based Attention Focus in Reinforcement Learning. Thesis, 2007.

J. Bach, Principles of Synthetic Intelligence ? An architecture of motivated cognition, 2009.
DOI : 10.1093/acprof:oso/9780195370676.001.0001

J. Bach, Modeling Motivation in MicroPsi 2, AGI, vol.2015, pp.3-13, 2015.
DOI : 10.1007/978-3-319-21365-1_1

Z. Shi, J. Zhang, J. Yue, and B. Qi, A Motivational System For Mind Model CAM. AAAI Symposium on Integrated Cognition, pp.79-86, 2013.

Z. Shi, J. Zhang, X. Yang, G. Ma, B. Qi et al., Computational Cognitive Models for Brain-Machine Collaborations, IEEE Intelligent Systems, vol.29, issue.6, 2014.
DOI : 10.1109/MIS.2014.56