메뉴 건너뛰기




Volumn 17, Issue 3, 2006, Pages 253-276

Attractor dynamics in a modular network model of neocortex

Author keywords

Attentional blink; Attractor dynamics; Cortex; Synchronization; UP state

Indexed keywords

ACTION POTENTIAL; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATTENTION; BIOLOGICAL MODEL; BLINKING; CLASSIFICATION; COMPUTER SIMULATION; CYTOLOGY; DRUG EFFECT; ELECTROSTIMULATION; METHODOLOGY; NEOCORTEX; NERVE CELL; NERVE CELL NETWORK; NONLINEAR SYSTEM; PHYSIOLOGY; REACTION TIME; SYNAPSE;

EID: 33845421947     PISSN: 0954898X     EISSN: 13616536     Source Type: Journal    
DOI: 10.1080/09548980600774619     Document Type: Article
Times cited : (71)

References (56)
  • 1
    • 0002638641 scopus 로고
    • Firing patterns of single units in the prefrontal cortex and neural network models
    • Abeles M, Vaadia E, Bergman H. 1900. Firing patterns of single units in the prefrontal cortex and neural network models, Network: Comput Neural System 1:13-25.
    • (1900) Network: Comput Neural System , vol.1 , pp. 13-25
    • Abeles, M.1    Vaadia, E.2    Bergman, H.3
  • 3
    • 0030947941 scopus 로고    scopus 로고
    • Model of global spontaneous activity and local structured delay activity during delay periods in the cerebral cortex
    • Amit DJ, Brunel N. 1997. Model of global spontaneous activity and local structured delay activity during delay periods in the cerebral cortex. Cerebral Cortex 7:237-252.
    • (1997) Cerebral Cortex , vol.7 , pp. 237-252
    • Amit, D.J.1    Brunel, N.2
  • 4
    • 4744358521 scopus 로고    scopus 로고
    • A quantitative map of the circuit of cat primary visual cortex
    • Binzegger T, Douglas RJ, Martin KAC. 2004. A quantitative map of the circuit of cat primary visual cortex. J Neurosci 39:8441-8453.
    • (2004) J Neurosci , vol.39 , pp. 8441-8453
    • Binzegger, T.1    Douglas, R.J.2    Martin, K.A.C.3
  • 5
    • 3242786465 scopus 로고    scopus 로고
    • A unified theory of brightness contrast and assimilation incorporating oriented multiscale spatial filtering and contrast normalization
    • Blakeslee B, McCourt ME. 2004. A unified theory of brightness contrast and assimilation incorporating oriented multiscale spatial filtering and contrast normalization. Vision Res 44:2483-2503.
    • (2004) Vision Res , vol.44 , pp. 2483-2503
    • Blakeslee, B.1    McCourt, M.E.2
  • 6
    • 3042795832 scopus 로고    scopus 로고
    • Beta oscillations in a large-scale sensorimotor cortical network: Directional influences revealed by Granger causality
    • Brovelli A, Ding M, Ledberg A, Chen Y, Nakamura R, Bressler SL. 2004. Beta oscillations in a large-scale sensorimotor cortical network: directional influences revealed by Granger causality. PNAS 101:9849-9854.
    • (2004) PNAS , vol.101 , pp. 9849-9854
    • Brovelli, A.1    Ding, M.2    Ledberg, A.3    Chen, Y.4    Nakamura, R.5    Bressler, S.L.6
  • 7
    • 0034705134 scopus 로고    scopus 로고
    • Classification of fusiform neocortical interneurons based on unsupervised clustering
    • Cauli B, Porter JT, Tsuzuki K, Rossier J, Quenet B, Audinat E. 2000. Classification of fusiform neocortical interneurons based on unsupervised clustering. PNAS 97:6144-6199.
    • (2000) PNAS , vol.97 , pp. 6144-6199
    • Cauli, B.1    Porter, J.T.2    Tsuzuki, K.3    Rossier, J.4    Quenet, B.5    Audinat, E.6
  • 8
    • 0033811553 scopus 로고    scopus 로고
    • Synaptic mechanisms and network dynamics underlying visuospatial working memory in a cortical network model
    • Compte A, Brunel N, Goldman-Rakic PS, Wang X-J. 2000. Synaptic mechanisms and network dynamics underlying visuospatial working memory in a cortical network model. Cerebral Cortex 10:910-923.
    • (2000) Cerebral Cortex , vol.10 , pp. 910-923
    • Compte, A.1    Brunel, N.2    Goldman-Rakic, P.S.3    Wang, X.-J.4
  • 9
    • 0038348981 scopus 로고    scopus 로고
    • Attractor dynamics of network UP states in the neocortex
    • Cossart R, Aronov D, Yuste R. 2003. Attractor dynamics of network UP states in the neocortex. Nature 423:283-288.
    • (2003) Nature , vol.423 , pp. 283-288
    • Cossart, R.1    Aronov, D.2    Yuste, R.3
  • 12
  • 13
    • 0000283314 scopus 로고
    • Low spiking rates in a population of mutually exciting pyramidal cells
    • Franśen E, Lansner A. 1995. Low spiking rates in a population of mutually exciting pyramidal cells. Network: Comput Neural Systems 6:271-288.
    • (1995) Network: Comput Neural Systems , vol.6 , pp. 271-288
    • Franśen, E.1    Lansner, A.2
  • 14
    • 26444492711 scopus 로고    scopus 로고
    • Amodel of cortical associative memory based on a horizontal network of connected columns
    • Franśen E, Lansner A. 1998. Amodel of cortical associative memory based on a horizontal network of connected columns. Network: Comput Neural Systems 9:235-264.
    • (1998) Network: Comput Neural Systems , vol.9 , pp. 235-264
    • Franśen, E.1    Lansner, A.2
  • 16
    • 0014680923 scopus 로고
    • Simultaneously recorded trains of action potentials: Analysis and functional interpretation
    • Gerstein GL, Perkel DH. 1969. Simultaneously recorded trains of action potentials: analysis and functional interpretation. Science 164:828-830.
    • (1969) Science , vol.164 , pp. 828-830
    • Gerstein, G.L.1    Perkel, D.H.2
  • 17
    • 10244235144 scopus 로고    scopus 로고
    • Integrate-and-fire neurons and networks
    • Arbib MA, editor. Cambridge, MA: The MIT Press
    • Gerstner W. 2002. Integrate-and-fire neurons and networks. In: Arbib MA, editor. The handbook of brain theory and neural networks. Cambridge, MA: The MIT Press, pp 577-581.
    • (2002) The Handbook of Brain Theory and Neural Networks , pp. 577-581
    • Gerstner, W.1
  • 19
    • 0036134524 scopus 로고    scopus 로고
    • Unitary events in multiple single-neuron spiking activity: I. Detection and significance
    • Grün S, Diesmann M, Aertsen A. 2002a. Unitary events in multiple single-neuron spiking activity: I. Detection and significance. Neural Comput 14:43-80.
    • (2002) Neural Comput , vol.14 , pp. 43-80
    • Grün, S.1    Diesmann, M.2    Aertsen, A.3
  • 20
    • 0036133948 scopus 로고    scopus 로고
    • Unitary events in multiple single-neuron spiking activity: II. Detection and significance
    • Grün S, Diesmann M, Aertsen A. 2002b. Unitary events in multiple single-neuron spiking activity: II. Detection and significance. Neural Comput 14:81-119.
    • (2002) Neural Comput , vol.14 , pp. 81-119
    • Grün, S.1    Diesmann, M.2    Aertsen, A.3
  • 22
    • 0024399206 scopus 로고
    • Olfactory cortex: Model circuit for the study of associative memory?
    • Haberly LB, Bower JM. 1989. Olfactory cortex: model circuit for the study of associative memory? TINS 12:258-264.
    • (1989) TINS , vol.12 , pp. 258-264
    • Haberly, L.B.1    Bower, J.M.2
  • 23
    • 0031789641 scopus 로고    scopus 로고
    • Large neural network simulations on multiple hardware platforms
    • Hammarlund P, Ekeberg Ö. 1998. Large neural network simulations on multiple hardware platforms. J Comput Neurosci 5:443-459.
    • (1998) J Comput Neurosci , vol.5 , pp. 443-459
    • Hammarlund, P.1    Ekeberg, Ö.2
  • 25
    • 0041353445 scopus 로고    scopus 로고
    • Pyramidal cell communication within local networks in layer 2/3 of rat neocortex
    • Holmgren C, Harkany T, Svennenfors B, Zilberter Y. 2003. Pyramidal cell communication within local networks in layer 2/3 of rat neocortex. J Physiol 551:139-153.
    • (2003) J Physiol , vol.551 , pp. 139-153
    • Holmgren, C.1    Harkany, T.2    Svennenfors, B.3    Zilberter, Y.4
  • 26
    • 0000909827 scopus 로고
    • Neural networks and physical systems with emergent collective computational properties
    • Hopfield JJ. 1982. Neural networks and physical systems with emergent collective computational properties. PNAS 81:3088-3092.
    • (1982) PNAS , vol.81 , pp. 3088-3092
    • Hopfield, J.J.1
  • 27
    • 0017785109 scopus 로고
    • The functional architecture of the macaque visual cortex. The Ferrier lecture
    • Hubel D, Wiesel TN. 1977. The functional architecture of the macaque visual cortex. The Ferrier lecture. Proc Royal Soc B 198:1-59.
    • (1977) Proc Royal Soc B , vol.198 , pp. 1-59
    • Hubel, D.1    Wiesel, T.N.2
  • 28
    • 4344661328 scopus 로고    scopus 로고
    • Which model to use for cortical spiking neurons?
    • Izhikevich EM. 2004. Which model to use for cortical spiking neurons? IEEE Trans Neural Networks 15:1063-1070.
    • (2004) IEEE Trans Neural Networks , vol.15 , pp. 1063-1070
    • Izhikevich, E.M.1
  • 29
    • 33845421844 scopus 로고    scopus 로고
    • Department of Numerical Analysis and Computer Science. Stockholm, Kungl. Tekniska Högskolan
    • Johansson C. 2004. Towards cortex isomorphic attractor neural networks. Department of Numerical Analysis and Computer Science. Stockholm, Kungl. Tekniska Högskolan.
    • (2004) Towards Cortex Isomorphic Attractor Neural Networks
    • Johansson, C.1
  • 30
    • 35048860860 scopus 로고    scopus 로고
    • Towards cortex sized artificial nervous systems
    • Johansson C, Lansner A. 2004. Towards cortex sized artificial nervous systems. LNAI 3213:959-966.
    • (2004) LNAI , vol.3213 , pp. 959-966
    • Johansson, C.1    Lansner, A.2
  • 31
    • 0028922024 scopus 로고
    • Physiological subgroups of nonpyramidal cells with specific morphological characteristics in layer 1I/lll of rat frontal cortex
    • Kawaguchi Y. 1995. Physiological subgroups of nonpyramidal cells with specific morphological characteristics in layer 1I/lll of rat frontal cortex. J Neurosci 15:2638-2655.
    • (1995) J Neurosci , vol.15 , pp. 2638-2655
    • Kawaguchi, Y.1
  • 32
    • 0027237532 scopus 로고
    • D28k-irnmunoreactive neurons in layer v of rat frontal cortex
    • D28k- irnmunoreactive neurons in layer V of rat frontal cortex. J Neurophysiol 70:387-396.
    • (1993) J Neurophysiol , vol.70 , pp. 387-396
    • Kawaguchi, Y.1    Kubota, Y.2
  • 33
    • 0000115523 scopus 로고
    • Modeling Hebbian cell assemblies comprised of cortical neurons
    • Lansner A, Franśen E, 1992. Modeling Hebbian cell assemblies comprised of cortical neurons. Network: Comput Neural Systems 3:105-119.
    • (1992) Network: Comput Neural Systems , vol.3 , pp. 105-119
    • Lansner, A.1    Franśen, E.2
  • 34
    • 0038780785 scopus 로고    scopus 로고
    • Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory
    • Lansner A, Franśen E, Sandberg A. 2003. Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory. Theory in Biosciences 122:19-36.
    • (2003) Theory in Biosciences , vol.122 , pp. 19-36
    • Lansner, A.1    Franśen, E.2    Sandberg, A.3
  • 35
    • 0031779361 scopus 로고    scopus 로고
    • Brain electric microstates and momentary conscious mind states as building blocks of spontaneous thinking: 1. Visual imagery and abstract thoughts
    • Lehmann D, Strik WK, Henggeler B, Koenig T, Koukkou M. 1998. Brain electric microstates and momentary conscious mind states as building blocks of spontaneous thinking: 1. Visual imagery and abstract thoughts. Int J Psychophysiol 29:1-11.
    • (1998) Int J Psychophysiol , vol.29 , pp. 1-11
    • Lehmann, D.1    Strik, W.K.2    Henggeler, B.3    Koenig, T.4    Koukkou, M.5
  • 36
    • 0037452922 scopus 로고    scopus 로고
    • The cost of cortical computation
    • Lennie P. 2003. The cost of cortical computation. Curr Biol 13:493-197.
    • (2003) Curr Biol , vol.13 , pp. 493-1197
    • Lennie, P.1
  • 38
    • 19544390006 scopus 로고    scopus 로고
    • Capacity limits of information processing in the brain
    • Marois R, Ivanoff J. 2005. Capacity limits of information processing in the brain. Trends in Cognitive Sciences 9:296-305.
    • (2005) Trends in Cognitive Sciences , vol.9 , pp. 296-305
    • Marois, R.1    Ivanoff, J.2
  • 40
    • 0042908996 scopus 로고    scopus 로고
    • Speed of feedforward and recurrent processing in multilayer networks of integrate-and-fire neurons
    • Panzeri S, Rolls ET, Battaglia F, Lavis R. 2001. Speed of feedforward and recurrent processing in multilayer networks of integrate-and-fire neurons. Network: Comput Neural Systems 12:423-440.
    • (2001) Network: Comput Neural Systems , vol.12 , pp. 423-440
    • Panzeri, S.1    Rolls, E.T.2    Battaglia, F.3    Lavis, R.4
  • 41
    • 0031404532 scopus 로고    scopus 로고
    • The organization of double bouquet cells in monkey striate cortex
    • Peters A, Sethares C. 1997. The organization of double bouquet cells in monkey striate cortex. J Neurocytology 26:779-797.
    • (1997) J Neurocytology , vol.26 , pp. 779-797
    • Peters, A.1    Sethares, C.2
  • 42
    • 0027411129 scopus 로고
    • Neuronal organization in area 17 of cat visual cortex
    • Peters A, Yilmaz E. 1993. Neuronal organization in area 17 of cat visual cortex. Cereb Cortex 3:49-68.
    • (1993) Cereb Cortex , vol.3 , pp. 49-68
    • Peters, A.1    Yilmaz, E.2
  • 44
    • 0034486508 scopus 로고    scopus 로고
    • Dynamical changes and temporal precision of synchronized spiking activity in monkey motor cortex during movement preparation
    • Riehle A, Grammont F, Diesmann M, Gr̈un S. 2000. Dynamical changes and temporal precision of synchronized spiking activity in monkey motor cortex during movement preparation. J Physiol Paris 94:569-582.
    • (2000) J Physiol Paris , vol.94 , pp. 569-582
    • Riehle, A.1    Grammont, F.2    Diesmann, M.3    Gr̈un, S.4
  • 47
    • 0028414251 scopus 로고
    • Attention to visual pattern information produces the attentional blink in rapid serial visual presentation
    • Shapiro KL, Raymond JE, Arnell KM. 1994. Attention to visual pattern information produces the attentional blink in rapid serial visual presentation. J Exp Psychol Hum Percept Perform 20:357-371.
    • (1994) J Exp Psychol Hum Percept Perform , vol.20 , pp. 357-371
    • Shapiro, K.L.1    Raymond, J.E.2    Arnell, K.M.3
  • 48
    • 0038688379 scopus 로고    scopus 로고
    • Turning on and off recurrent balanced cortical activity
    • Shu Y, Hasenstaub A, McCormick DA. 2003. Turning on and off recurrent balanced cortical activity. Nature 423:288-293.
    • (2003) Nature , vol.423 , pp. 288-293
    • Shu, Y.1    Hasenstaub, A.2    McCormick, D.A.3
  • 49
    • 0030052626 scopus 로고    scopus 로고
    • Synchronization of fast (30-40 Hz) spontaneous cortical rhythms during brain activation
    • Steriade M, Amzica F, Contreras D. 1996. Synchronization of fast (30-40 Hz) spontaneous cortical rhythms during brain activation. J Neurosci 16:392-417.
    • (1996) J Neurosci , vol.16 , pp. 392-417
    • Steriade, M.1    Amzica, F.2    Contreras, D.3
  • 50
    • 0037079095 scopus 로고    scopus 로고
    • Lateral connectivity and contextual interactions in macaque primary visual cortex
    • Stettler D, Das A, Bennett J, Gilbert C. 2002. Lateral connectivity and contextual interactions in macaque primary visual cortex. Neuron 14:739-750.
    • (2002) Neuron , vol.14 , pp. 739-750
    • Stettler, D.1    Das, A.2    Bennett, J.3    Gilbert, C.4
  • 51
    • 0032101757 scopus 로고    scopus 로고
    • Induced g-band activity during the delay of a visual short-term memory task in humans
    • Tallon-Baudry C, Bertrand O, Peronnet F, Pernier J. 1998. Induced g-band activity during the delay of a visual short-term memory task in humans. J Neurosci 18:4244-4254.
    • (1998) J Neurosci , vol.18 , pp. 4244-4254
    • Tallon-Baudry, C.1    Bertrand, O.2    Peronnet, F.3    Pernier, J.4
  • 52
    • 0347088971 scopus 로고    scopus 로고
    • An egalitarian network model for the emergence of simple and complex cells in visual cortex
    • Tao L, Shelley M, McLaughlin D, Shapley R. 2004. An egalitarian network model for the emergence of simple and complex cells in visual cortex. PNAS 101:366-371.
    • (2004) PNAS , vol.101 , pp. 366-371
    • Tao, L.1    Shelley, M.2    McLaughlin, D.3    Shapley, R.4
  • 53
    • 0036716478 scopus 로고    scopus 로고
    • Synaptic connections and small circuits involving excitatory and inhibitory neurons in layer 2-5 of adult rat and cat neocortex: Triple intracellular recordings and biocytin labelling in vitro
    • Thomson AM, West DC, Wang Y, Bannister AP. 2002. Synaptic connections and small circuits involving excitatory and inhibitory neurons in layer 2-5 of adult rat and cat neocortex: Triple intracellular recordings and biocytin labelling in vitro. Cerebal Cortex 12:936-953.
    • (2002) Cerebal Cortex , vol.12 , pp. 936-953
    • Thomson, A.M.1    West, D.C.2    Wang, Y.3    Bannister, A.P.4
  • 54
    • 0029895137 scopus 로고    scopus 로고
    • Speed of processing in the human visual system
    • Thorpe S, Fize D, Marlot C. 1996. Speed of processing in the human visual system. Nature 381:520-522.
    • (1996) Nature , vol.381 , pp. 520-522
    • Thorpe, S.1    Fize, D.2    Marlot, C.3
  • 55
    • 0028109694 scopus 로고
    • Computational analysis of the role of the hippocampus in memory
    • Treves A, Rolls ET. 1994. Computational analysis of the role of the hippocampus in memory. Hippocampus 4:374-391.
    • (1994) Hippocampus , vol.4 , pp. 374-391
    • Treves, A.1    Rolls, E.T.2
  • 56
    • 0003364037 scopus 로고
    • Associative memory models
    • Meltzer and Michie, editors. Edinburgh: Edinburgh University Press
    • Willshaw DJ Longuet-Higgins HC. 1969. Associative memory models. Machine Learning 5. Meltzer and Michie, editors. Edinburgh: Edinburgh University Press.
    • (1969) Machine Learning , vol.5
    • Willshaw, D.J.1    Longuet-Higgins, H.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.