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Volumn 2, Issue 11, 1998, Pages 455-462

Six principles for biologically based computational models of cortical cognition

Author keywords

[No Author keywords available]

Indexed keywords

CALCULATION; COGNITION; HUMAN; LEARNING; MATHEMATICAL MODEL; NEUROPHYSIOLOGY; NEUROPSYCHOLOGY; REVIEW;

EID: 0032211901     PISSN: 13646613     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1364-6613(98)01241-8     Document Type: Review
Times cited : (232)

References (55)
  • 2
    • 0031255196 scopus 로고    scopus 로고
    • Rethinking infant knowledge: Toward an adaptive process account of successes and failures in object permanence tasks
    • Munakata, Y. et al. (1997) Rethinking infant knowledge: toward an adaptive process account of successes and failures in object permanence tasks Psychol. Rev. 104, 686-713
    • (1997) Psychol. Rev. , vol.104 , pp. 686-713
    • Munakata, Y.1
  • 3
    • 0000297245 scopus 로고
    • Neural mechanisms of visual processing in monkeys
    • Boller, F. and Grafman, J., eds, Elsevier
    • Desimone, R. and Ungerleider, L.G. (1989) Neural mechanisms of visual processing in monkeys, in Handbook of Neurophysiology (Vol. 2) (Boller, F. and Grafman, J., eds), pp. 267-299, Elsevier
    • (1989) In Handbook of Neurophysiology , vol.2 , pp. 267-299
    • Desimone, R.1    Ungerleider, L.G.2
  • 4
    • 0000457342 scopus 로고
    • Neurophysiology and reaching
    • Jeannerod, M., ed., Erlbaum
    • Georgopoulos, A.P. (1990) Neurophysiology and reaching, in Attention and Performance (Vol. 13) (Jeannerod, M., ed.), pp. 227-263, Erlbaum
    • (1990) In Attention and Performance , vol.13 , pp. 227-263
    • Georgopoulos, A.P.1
  • 7
    • 0022624619 scopus 로고
    • Quantitative distribution of GABA-immunoreactive neurons in the visual cortex (area 17) of the cat
    • Gabbot, P.L.A. and Somogyi, P. (1986) Quantitative distribution of GABA-immunoreactive neurons in the visual cortex (area 17) of the cat Exp. Brain Res. 61, 323-331
    • (1986) Exp. Brain Res. , vol.61 , pp. 323-331
    • Gabbot, P.L.A.1    Somogyi, P.2
  • 9
    • 58149409989 scopus 로고
    • An interactive activation model of context effects in letter perception: 1. an account of basic findings
    • McClelland, J.L. and Rumelhart, D.E. (1981) An interactive activation model of context effects in letter perception: 1. An account of basic findings Psychol. Rev. 88, 375-407
    • (1981) Psychol. Rev. , vol.88 , pp. 375-407
    • McClelland, J.L.1    Rumelhart, D.E.2
  • 10
    • 0001608026 scopus 로고
    • Feature discovery by competitive learning
    • Rumelhart, D.E., McClelland, J.L. and PDP Research Group, eds, MIT Press
    • Rumelhart, D.E. and Zipser, D. (1986) Feature discovery by competitive learning, in Parallel Distributed Processing (Vol. 1): Foundations (Rumelhart, D.E., McClelland, J.L. and PDP Research Group, eds), pp. 151-193, MIT Press
    • (1986) In Parallel Distributed Processing (Vol. 1): Foundations , vol.1 , pp. 151-193
    • Rumelhart, D.E.1    Zipser, D.2
  • 11
    • 0017120827 scopus 로고
    • Adaptive pattern classification and universal recoding I: Parallel development and coding of neural feature detectors Biol
    • Grossberg, S. (1976) Adaptive pattern classification and universal recoding I: Parallel development and coding of neural feature detectors Biol. Cybern. 23, 121-134
    • (1976) Cybern. , vol.23 , pp. 121-134
    • Grossberg, S.1
  • 12
    • 0001471775 scopus 로고
    • Unsupervised learning
    • Barlow, H.B. (1989) Unsupervised learning Neural Comput. 1, 295-311
    • (1989) Neural Comput. , vol.1 , pp. 295-311
    • Barlow, H.B.1
  • 13
    • 0000929221 scopus 로고
    • What is the goal of sensory coding?
    • Field, D.J. (1994) What is the goal of sensory coding? Neural Comput. 6, 559-601
    • (1994) Neural Comput. , vol.6 , pp. 559-601
    • Field, D.J.1
  • 15
    • 0025718412 scopus 로고
    • Distributed hierarchical processing in the primate cerebral cortex Cereb
    • Felleman, D.J. and Van Essen, D.C. (1991) Distributed hierarchical processing in the primate cerebral cortex Cereb. Cortex 1, 1-47
    • (1991) Cortex , vol.1 , pp. 1-47
    • Felleman, D.J.1    Van Essen, D.C.2
  • 16
    • 0027521697 scopus 로고
    • Topography of pyramidal neuron intrinsic connections in macaque monkey prefrontal cortex (areas 9 and 46)
    • Levitt, J.B. et al. (1993) Topography of pyramidal neuron intrinsic connections in macaque monkey prefrontal cortex (areas 9 and 46) J. Comp. Neurol. 338, 360-376
    • (1993) J. Comp. Neurol. , vol.338 , pp. 360-376
    • Levitt, J.B.1
  • 18
    • 0000329993 scopus 로고
    • Information processing in dynamical systems: Foundations of harmony theory
    • MITPress Rumelhart, D.E., McClelland, J.L. and PDF Research Group, eds
    • Smolensky, P. (1986) Information processing in dynamical systems: foundations of harmony theory, in Parallel Distributed Processing (Vol. 1): Foundations (Rumelhart, D.E., McClelland, J.L. and PDF Research Group, eds), pp. 282-317, MIT Press
    • (1986) In Parallel Distributed Processing (Vol. 1): Foundations , vol.1 , pp. 282-317
    • Smolensky, P.1
  • 19
    • 0001578518 scopus 로고
    • A learning algorithm for Boltzmann machines
    • Ackley, D.H., Hinton, G.E. and Sejnowski, T.J. (1985) A learning algorithm for Boltzmann machines Cognit. Sci. 9, 147-169
    • (1985) Cognit. Sci. , vol.9 , pp. 147-169
    • Ackley, D.H.1    Hinton, G.E.2    Sejnowski, T.J.3
  • 20
    • 0032040424 scopus 로고    scopus 로고
    • Figure-ground organization and object recognition processes: An interactive account
    • Vecera, S.P. and O'Reilly, R.C. (1998) Figure-ground organization and object recognition processes: an interactive account J. Exp. Psychol. Hum. Percept. Perform. 24, 441-462
    • (1998) J. Exp. Psychol. Hum. Percept. Perform. , vol.24 , pp. 441-462
    • Vecera, S.P.1    O'Reilly, R.C.2
  • 21
    • 84970744751 scopus 로고
    • Object recognition processes can and do operate before figure ground organization
    • Peterson, M.A. (1994) Object recognition processes can and do operate before figure ground organization Curr. Dir. Psychol. Sci. 3, 105-111
    • (1994) Curr. Dir. Psychol. Sci. , vol.3 , pp. 105-111
    • Peterson, M.A.1
  • 23
    • 0024490816 scopus 로고
    • The recent excitement about neural networks
    • Crick, F.H.C. (1989) The recent excitement about neural networks Nature 337, 129-132
    • (1989) Nature , vol.337 , pp. 129-132
    • Crick, F.H.C.1
  • 25
    • 0001569746 scopus 로고    scopus 로고
    • Biologically plausible error-driven learning using local activation differences: The generalized recirculation algorithm
    • O'Reilly, R.C. (1996) Biologically plausible error-driven learning using local activation differences: the generalized recirculation algorithm Neural Comput. 8, 895-938
    • (1996) Neural Comput. , vol.8 , pp. 895-938
    • O'Reilly, R.C.1
  • 26
    • 0001504852 scopus 로고
    • Learning representations by recirculation
    • Anderson, D.Z., ed., American Institute of Physics
    • Hinton, G.E. and McClelland, J.L. (1988) Learning representations by recirculation, in Neural Information Processing Systems (Anderson, D.Z., ed.), pp. 358-366, American Institute of Physics
    • (1988) In Neural Information Processing Systems , pp. 358-366
    • Hinton, G.E.1    McClelland, J.L.2
  • 27
    • 0001590282 scopus 로고
    • Deterministic Boltzmann learning performs steepest descent in weight-space
    • Hinton, G.E. (1989) Deterministic Boltzmann learning performs steepest descent in weight-space Neural Comput. 1, 143-150
    • (1989) Neural Comput. , vol.1 , pp. 143-150
    • Hinton, G.E.1
  • 28
    • 0001406440 scopus 로고
    • A mean-field-theory learning algorithm for neural networks
    • Peterson, C. and Anderson, J.R. (1987) A mean-field-theory learning algorithm for neural networks Complex Syst. 1, 995-1019
    • (1987) Complex Syst. , vol.1 , pp. 995-1019
    • Peterson, C.1    Anderson, J.R.2
  • 30
    • 0010405355 scopus 로고
    • The interaction of nature and nurture in development: A parallel-distributed-processing perspective
    • Bertelson, P., Eelen, P. and D'Ydewalle, G., eds, Erlbaum
    • McClelland, J.L. (1994) The interaction of nature and nurture in development: a parallel-distributed-processing perspective, in Current Advances in Psychological Science: Ongoing Research (Bertelson, P., Eelen, P. and D'Ydewalle, G., eds), pp. 57-88, Erlbaum
    • (1994) In Current Advances in Psychological Science: Ongoing Research , pp. 57-88
    • McClelland, J.L.1
  • 32
    • 0023180067 scopus 로고
    • NMDA receptors: Their role in long-term potentiation
    • Collingridge, G.L. and Bliss, T.V.P. (1987) NMDA receptors: their role in long-term potentiation Trends Neurosci. 10, 288-293
    • (1987) Trends Neurosci. , vol.10 , pp. 288-293
    • Collingridge, G.L.1    Bliss, T.V.P.2
  • 33
    • 0020464111 scopus 로고
    • A simplified neuron model as a principal component analyzer
    • Oja, E. (1982) A simplified neuron model as a principal component analyzer J. Math. Biol. 15, 267-273
    • (1982) J. Math. Biol. , vol.15 , pp. 267-273
    • Oja, E.1
  • 34
    • 0000600219 scopus 로고    scopus 로고
    • A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge
    • Landauer, T.K. and Dumais, ST. (1997) A solution to Plato's problem: the latent semantic analysis theory of acquisition, induction, and representation of knowledge Psychol. Rev. 104, 211-240
    • (1997) Psychol. Rev. , vol.104 , pp. 211-240
    • Landauer, T.K.1    Dumais, S.T.2
  • 35
    • 0024692411 scopus 로고
    • Testing between the TRACE model and the fuzzy logical model of speech perception
    • Massaro, D.W. (1989) Testing between the TRACE model and the fuzzy logical model of speech perception Cognit. Psycho!. 21, 398-421
    • (1989) Cognit. Psycho!. , vol.21 , pp. 398-421
    • Massaro, D.W.1
  • 36
    • 38049024435 scopus 로고
    • The interaction of information in word recognition
    • Morton, J. (1969) The interaction of information in word recognition Psychol. Rev. 76, 165-178
    • (1969) Psychol. Rev. , vol.76 , pp. 165-178
    • Morton, J.1
  • 37
    • 0031590130 scopus 로고    scopus 로고
    • Generative models for discovering sparse distributed representations Philos
    • Hinton, G.E. and Ghahramani, Z. (1997) Generative models for discovering sparse distributed representations Philos. Trans. R. Soc. London Ser. B 352, 1177-1190
    • (1997) Trans. R. Soc. London Ser. B , vol.352 , pp. 1177-1190
    • Hinton, G.E.1    Ghahramani, Z.2
  • 38
    • 0000415231 scopus 로고
    • Maximum likelihood competitive learning
    • Touretzky, D.S., ed., Morgan Kaufman
    • Nowlan, S.J. (1990) Maximum likelihood competitive learning, in Advances in Neural Information Processing Systems (Vol. 2) (Touretzky, D.S., ed.), pp. 574-582, Morgan Kaufman
    • (1990) In Advances in Neural Information Processing Systems , vol.2 , pp. 574-582
    • Nowlan, S.J.1
  • 39
    • 0001940458 scopus 로고
    • Adaptive mixtures of local experts
    • Jacobs, R.A. et al. (1991) Adaptive mixtures of local experts Neural Comput. 3, 79-87
    • (1991) Neural Comput. , vol.3 , pp. 79-87
    • Jacobs, R.A.1
  • 40
    • 0001179408 scopus 로고
    • Competition and multiple cause models
    • Dayan, P. and Zemel, R.S. (1995) Competition and multiple cause models Neural Comput. 7, 565-579
    • (1995) Neural Comput. , vol.7 , pp. 565-579
    • Dayan, P.1    Zemel, R.S.2
  • 41
    • 0003040479 scopus 로고
    • A multiple-cause mixture model for unsupervised learning
    • Saund, E. (1995) A multiple-cause mixture model for unsupervised learning Neural Comput. 7, 51-71
    • (1995) Neural Comput. , vol.7 , pp. 51-71
    • Saund, E.1
  • 42
    • 0020074887 scopus 로고
    • Theory for the development of neuron selectivity: Orientation specificity and binocular interaction in visual cortex
    • Bienenstock, E.L., Cooper, L.N. and Munro, P.W. (1982) Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. J. Neurosci. 2, 32-48
    • (1982) J. Neurosci. , vol.2 , pp. 32-48
    • Bienenstock, E.L.1    Cooper, L.N.2    Munro, P.W.3
  • 43
    • 0025604930 scopus 로고
    • Forming sparse representations by local anti-Hebbian learning Biol
    • Földiák, P. (1990) Forming sparse representations by local anti-Hebbian learning Biol. Cybern. 64, 165-170
    • (1990) Cybern. , vol.64 , pp. 165-170
    • Földiák, P.1
  • 45
    • 0030631860 scopus 로고    scopus 로고
    • A simple neural network exhibiting selective activation of neuronal ensembles: From winner-take-all to winners-share-all
    • Fukai, T. and Tanaka, S. (1997) A simple neural network exhibiting selective activation of neuronal ensembles: from winner-take-all to winners-share-all Neural Comput. 9, 77-97
    • (1997) Neural Comput. , vol.9 , pp. 77-97
    • Fukai, T.1    Tanaka, S.2
  • 46
    • 0024732792 scopus 로고
    • Connectionist learning procedures Artif
    • Hinton, G.E. (1989) Connectionist learning procedures Artif. Intell. 40, 185-234
    • (1989) Intell. , vol.40 , pp. 185-234
    • Hinton, G.E.1
  • 47
    • 0024774330 scopus 로고
    • Neural networks and principal components analysis: Learning from examples without local minima
    • Baldi, P. and Hornik, K. (1989) Neural networks and principal components analysis: learning from examples without local minima Neural Netw. 2, 53-58
    • (1989) Neural Netw. , vol.2 , pp. 53-58
    • Baldi, P.1    Hornik, K.2
  • 48
    • 0029372831 scopus 로고
    • The Helmholtz machine
    • Dayan, P. et al. (1995) The Helmholtz machine Neural Comput. 7, 889-904
    • (1995) Neural Comput. , vol.7 , pp. 889-904
    • Dayan, P.1
  • 49
    • 0002469309 scopus 로고    scopus 로고
    • Mutual information maximization: Models of cortical self-organization
    • Becker, S. (1996) Mutual information maximization: models of cortical self-organization Network: Comput. Neural Syst. 7, 7-31
    • (1996) Network: Comput. Neural Syst. , vol.7 , pp. 7-31
    • Becker, S.1
  • 50
    • 0032111421 scopus 로고    scopus 로고
    • Category learning through multimodality sensing
    • de Sa, V.R. and Ballard, D.H. (1998) Category learning through multimodality sensing Neural Comput. 10, 1097-1118
    • (1998) Neural Comput. , vol.10 , pp. 1097-1118
    • De Sa, V.R.1    Ballard, D.H.2
  • 51
    • 0031914383 scopus 로고    scopus 로고
    • Contextually guided unsupervised learning using local multivariate binary processors
    • Kay, J., Floreano, D. and Phillips, W. (1998) Contextually guided unsupervised learning using local multivariate binary processors Neural Netw. 11, 117-140
    • (1998) Neural Netw. , vol.11 , pp. 117-140
    • Kay, J.1    Floreano, D.2    Phillips, W.3
  • 52
    • 0000874780 scopus 로고
    • A biologically supported error-correcting learning rule
    • Hancock, P.J.B., Smith, LS. and Phillips, W.A. (1991) A biologically supported error-correcting learning rule Neural Comput. 3, 201-212
    • (1991) Neural Comput. , vol.3 , pp. 201-212
    • Hancock, P.J.B.1    Smith, L.S.2    Phillips, W.A.3
  • 53
  • 54
    • 0000539096 scopus 로고
    • Generalization by weight-elimination with application to forecasting
    • Lippmann, R.P., Moody, J.E. and Touretzky, D.S., eds, Morgan Kaufman
    • Weigend, A.S., Rumelhart, D.E. and Huberman, B.A. (1991) Generalization by weight-elimination with application to forecasting, in Advances in Neural Information Processing Systems (Vol. 3) (Lippmann, R.P., Moody, J.E. and Touretzky, D.S., eds), pp. 875-882, Morgan Kaufman
    • (1991) In Advances in Neural Information Processing Systems , vol.3 , pp. 875-882
    • Weigend, A.S.1    Rumelhart, D.E.2    Huberman, B.A.3
  • 55
    • 0030273576 scopus 로고    scopus 로고
    • Merging back-propagation and Hebbian learning rules for robust classifications
    • Jeong, D-G. and Lee, S-Y. (1996) Merging back-propagation and Hebbian learning rules for robust classifications Neural Netw. 9, 1213-1222
    • (1996) Neural Netw. , vol.9 , pp. 1213-1222
    • Jeong, D.-G.1    Lee, S.-Y.2


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