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Volumn 18, Issue 5, 2006, Pages 1132-1155

A sensorimotor map: Modulating lateral interactions for anticipation and planning

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EID: 33646454112     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2006.18.5.1132     Document Type: Article
Times cited : (41)

References (47)
  • 1
    • 0000697032 scopus 로고
    • Realistic synaptic inputs for network models
    • Abbott, L. (1991). Realistic synaptic inputs for network models. Network: Computation in Neural Systems, 2, 245-258.
    • (1991) Network: Computation in Neural Systems , vol.2 , pp. 245-258
    • Abbott, L.1
  • 2
    • 0017713690 scopus 로고
    • Dynamics of patterns formation in lateral-inhibition type neural fields
    • Amari, S. (1977). Dynamics of patterns formation in lateral-inhibition type neural fields. Biological Cybernetics, 27, 77-87.
    • (1977) Biological Cybernetics , vol.27 , pp. 77-87
    • Amari, S.1
  • 3
    • 11144352456 scopus 로고    scopus 로고
    • Unpublished doctoral dissertation, Institut für Informatik, Technische Universität München
    • Appl, M. (2000). Model-based reinforcement learning in continuous environments. Unpublished doctoral dissertation, Institut für Informatik, Technische Universität München.
    • (2000) Model-based Reinforcement Learning in Continuous Environments
    • Appl, M.1
  • 5
    • 0036062345 scopus 로고    scopus 로고
    • Modeling large cortical networks with growing self-organizing maps
    • Bednar, J. A., Kelkar, A., & Miikkulainen, R. (2002). Modeling large cortical networks with growing self-organizing maps. Neurocomputing, 44-46, 315-321.
    • (2002) Neurocomputing , vol.44-46 , pp. 315-321
    • Bednar, J.A.1    Kelkar, A.2    Miikkulainen, R.3
  • 9
    • 0026923589 scopus 로고
    • Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
    • Carpenter, G., Grossberg, S., Markuzon, N., Reynolds, J., & Rosen, D. (1992). Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Transactions on Neural Networks, 5, 698-713.
    • (1992) IEEE Transactions on Neural Networks , vol.5 , pp. 698-713
    • Carpenter, G.1    Grossberg, S.2    Markuzon, N.3    Reynolds, J.4    Rosen, D.5
  • 12
    • 85047672898 scopus 로고    scopus 로고
    • Dynamic field theory of movement preparation
    • Erlhagen, W., & Schöner, G. (2002). Dynamic field theory of movement preparation. Psychological Review, 109, 545-572.
    • (2002) Psychological Review , vol.109 , pp. 545-572
    • Erlhagen, W.1    Schöner, G.2
  • 13
    • 1842679227 scopus 로고    scopus 로고
    • Path integration in mammals
    • Etienne, A. S., & Jeffery, K. J. (2004). Path integration in mammals. Hippocampus, 14, 180-192.
    • (2004) Hippocampus , vol.14 , pp. 180-192
    • Etienne, A.S.1    Jeffery, K.J.2
  • 14
    • 0742301622 scopus 로고    scopus 로고
    • A spatio-temporal memory based on SOMs with activity diffusion
    • Helsinki
    • Euliano, N., & Principe, J. (1999). A spatio-temporal memory based on SOMs with activity diffusion. In Workshop on Self-Organizing Maps (pp. 253-266). Helsinki.
    • (1999) Workshop on Self-organizing Maps , pp. 253-266
    • Euliano, N.1    Principe, J.2
  • 15
    • 85135470835 scopus 로고
    • A growing neural gas network learns topologies
    • G. Tesauro, D. Touretzky, & T. Leen (Eds.). Cambridge, MA: MIT Press
    • Fritzke, B. (1995). A growing neural gas network learns topologies. In G. Tesauro, D. Touretzky, & T. Leen (Eds.), Advances in neural information processing systems, 7 (pp. 625-632). Cambridge, MA: MIT Press.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 625-632
    • Fritzke, B.1
  • 18
    • 6344257187 scopus 로고    scopus 로고
    • The emulation theory of representation: Motor control, imagery, and perception
    • Grush, R. (2004). The emulation theory of representation: Motor control, imagery, and perception. Behavioral and Brain Sciences, 27, 377-396.
    • (2004) Behavioral and Brain Sciences , vol.27 , pp. 377-396
    • Grush, R.1
  • 19
    • 0000480230 scopus 로고
    • The ant's path integration system: A neural architecture
    • Hartmann, G., & Wehner, R. (1995). The ant's path integration system: A neural architecture. Biological Cybernetics, 73, 483-497.
    • (1995) Biological Cybernetics , vol.73 , pp. 483-497
    • Hartmann, G.1    Wehner, R.2
  • 20
    • 0036605946 scopus 로고    scopus 로고
    • Conscious thought as simulation of behaviour and perception
    • Hesslow, G. (2002). Conscious thought as simulation of behaviour and perception. Trends in Cognitive Sciences, 6, 242-247.
    • (2002) Trends in Cognitive Sciences , vol.6 , pp. 242-247
    • Hesslow, G.1
  • 21
    • 0346869539 scopus 로고    scopus 로고
    • Controlling an 8 DOF manipulator by means of neural fields
    • A. Halme, R. Chatila, & E. Prassler (Eds.) Helsinki
    • Iossifidis, I. & Steinhage, A. (2001). Controlling an 8 DOF manipulator by means of neural fields. In A. Halme, R. Chatila, & E. Prassler (Eds.), Int. Conf. on Field and Service Robotics (FSR 2001). Helsinki.
    • (2001) Int. Conf. on Field and Service Robotics (FSR 2001)
    • Iossifidis, I.1    Steinhage, A.2
  • 22
    • 44049116478 scopus 로고
    • Forward models: Supervised learning with a distal teacher
    • Jordan, M., Rumelhart, D. (1992). Forward models: Supervised learning with a distal teacher. Cognitive Science, 16, 307-354.
    • (1992) Cognitive Science , vol.16 , pp. 307-354
    • Jordan, M.1    Rumelhart, D.2
  • 28
    • 0342765219 scopus 로고
    • (Tech. Rep. CNS Memo 6). Pasadena: Computation and Neural Systems Program, California Institute of Technology
    • Mel, B. W., (1990). The sigma-pi column: A model of associative learning in cerebral cortex. (Tech. Rep. CNS Memo 6). Pasadena: Computation and Neural Systems Program, California Institute of Technology.
    • (1990) The Sigma-pi Column: A Model of Associative Learning in Cerebral Cortex
    • Mel, B.W.1
  • 29
    • 0000546354 scopus 로고
    • Sigma-pi learning: On radial basis functions and cortical associative learning
    • D. S. Touretzky (Ed.) San Mateo, CA: Morgan Kaufmann
    • Mel, B. W., & Koch, C. (1990). Sigma-pi learning: On radial basis functions and cortical associative learning. In D. S. Touretzky (Ed.), Advances in neural information processing systems, 2 (pp. 474-481). San Mateo, CA: Morgan Kaufmann.
    • (1990) Advances in Neural Information Processing Systems , vol.2 , pp. 474-481
    • Mel, B.W.1    Koch, C.2
  • 31
    • 17144472642 scopus 로고    scopus 로고
    • In the search of common foundations for cortical computation
    • Phillips, W., & Singer, W. (1997). In the search of common foundations for cortical computation. Behavioral and Brain Sciences, 20, 657-722.
    • (1997) Behavioral and Brain Sciences , vol.20 , pp. 657-722
    • Phillips, W.1    Singer, W.2
  • 32
    • 0344442840 scopus 로고    scopus 로고
    • Sensory-motor control: A long-awaited behavioral correlate of presynaptic inhibition
    • Rose, P., & Scott, S. (2003). Sensory-motor control: A long-awaited behavioral correlate of presynaptic inhibition. Nature Neuroscience, 12, 1309-1316.
    • (2003) Nature Neuroscience , vol.12 , pp. 1309-1316
    • Rose, P.1    Scott, S.2
  • 33
    • 0026976153 scopus 로고
    • A dynamical system approach to task level system integration used to plan and control autonomous vehicle motion
    • Schöner, G., & Dose, M. (1992). A dynamical system approach to task level system integration used to plan and control autonomous vehicle motion. Robotics and Autonomous Systems, 10, 253-267.
    • (1992) Robotics and Autonomous Systems , vol.10 , pp. 253-267
    • Schöner, G.1    Dose, M.2
  • 34
    • 0029539342 scopus 로고
    • Dynamics of behavior: Theory and applications for autonomous robot architectures
    • Schöner, C., Dose, M., & Engels, C. (1995). Dynamics of behavior: Theory and applications for autonomous robot architectures. Robotics and Autonomous Systems, 16, 213-245.
    • (1995) Robotics and Autonomous Systems , vol.16 , pp. 213-245
    • Schöner, C.1    Dose, M.2    Engels, C.3
  • 36
    • 12844260220 scopus 로고    scopus 로고
    • Angular path integration by moving "hill of activity": A spiking neuron model without recurrent excitation of the head-direction system
    • Song, P., & Wang, X.-J. (2005). Angular path integration by moving "hill of activity": A spiking neuron model without recurrent excitation of the head-direction system. J. Neuroscience, 25, 1002-1014.
    • (2005) J. Neuroscience , vol.25 , pp. 1002-1014
    • Song, P.1    Wang, X.-J.2
  • 37
    • 0041328717 scopus 로고    scopus 로고
    • Self-organizing continuous attractor networks and path integration: Two-dimensional models of place cells
    • Stringer, S. M., Rolls, E. T., Trappenberg, T. P., & Araujo, I. E. T. de. (2002). Self-organizing continuous attractor networks and path integration: Two-dimensional models of place cells. Network, 13, 429-446.
    • (2002) Network , vol.13 , pp. 429-446
    • Stringer, S.M.1    Rolls, E.T.2    Trappenberg, T.P.3    De Araujo, I.E.T.4
  • 39
    • 84898999102 scopus 로고    scopus 로고
    • Learning a world model and planning with a self-organizing, dynamic neural system
    • S. Thrun, L. K. Saul, & B. Schölkopf (Eds.) Cambridge, MA: MIT Press
    • Toussaint, M. (2004). Learning a world model and planning with a self-organizing, dynamic neural system. In S. Thrun, L. K. Saul, & B. Schölkopf (Eds.), Advances in neural information processing systems, 16 (NIPS 2003) (pp. 929-936). Cambridge, MA: MIT Press.
    • (2004) Advances in Neural Information Processing Systems, 16 (NIPS 2003) , pp. 929-936
    • Toussaint, M.1
  • 40
    • 33646439578 scopus 로고    scopus 로고
    • Unpublised doctoral dissertation, Helsinki University of Technology
    • Varsta, M. (2002). Self-organizing maps in sequence processing. Unpublised doctoral dissertation, Helsinki University of Technology.
    • (2002) Self-organizing Maps in Sequence Processing
    • Varsta, M.1
  • 41
    • 0015749493 scopus 로고
    • Self-organization of orientation-sensitive cells in the striate cortex
    • von der Malsburg, C. (1973). Self-organization of orientation-sensitive cells in the striate cortex. Kybernetik, 15, 85-100.
    • (1973) Kybernetik , vol.15 , pp. 85-100
    • Von Der Malsburg, C.1
  • 42
    • 0038266121 scopus 로고    scopus 로고
    • The time-organized map algorithm: Extending the self-organizing map to spatiotemporal signals
    • Wiemer, J. (2003). The time-organized map algorithm: Extending the self-organizing map to spatiotemporal signals. Neural Computation, 15, 1143-1171.
    • (2003) Neural Computation , vol.15 , pp. 1143-1171
    • Wiemer, J.1
  • 45
    • 0028799979 scopus 로고
    • An internal model for sensorimotor integration
    • Wolpert, D., Ghahramani, Z., & Jordan, M. (1995). An internal model for sensorimotor integration. Science, 269, 1880-1882.
    • (1995) Science , vol.269 , pp. 1880-1882
    • Wolpert, D.1    Ghahramani, Z.2    Jordan, M.3
  • 46
    • 0029961607 scopus 로고    scopus 로고
    • Representation of spatial orientation by the intrinsic dynamics of the head-direction cell ensemble: A theory
    • Zhang, K. (1996). Representation of spatial orientation by the intrinsic dynamics of the head-direction cell ensemble: A theory. J. Neuroscience, 16, 2112-2126.
    • (1996) J. Neuroscience , vol.16 , pp. 2112-2126
    • Zhang, K.1
  • 47
    • 0030272298 scopus 로고    scopus 로고
    • Robust world-modelling and navigation in a real world
    • Zimmer, U. (1996). Robust world-modelling and navigation in a real world. Neuro-Computing, 13, 247-260.
    • (1996) Neuro-computing , vol.13 , pp. 247-260
    • Zimmer, U.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.