메뉴 건너뛰기




Volumn 16, Issue 7, 2004, Pages 1385-1412

Computing and stability in cortical networks

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN CORTEX; CLASSIFICATION; COMPARATIVE STUDY; COMPUTER SIMULATION; MEMORY; NERVE CELL; NERVE CELL INHIBITION; NERVE CELL NETWORK; NONLINEAR SYSTEM; PHYSIOLOGY;

EID: 2942526819     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976604323057434     Document Type: Article
Times cited : (60)

References (58)
  • 1
    • 22244458151 scopus 로고
    • Asynchronous states in networks of pulse-coupled oscillators
    • Abbott, L., & van Vreeswijk, C. (1993). Asynchronous states in networks of pulse-coupled oscillators. Phys. Rev. E, 48, 1483-1490.
    • (1993) Phys. Rev. E , vol.48 , pp. 1483-1490
    • Abbott, L.1    Van Vreeswijk, C.2
  • 3
    • 0035146143 scopus 로고    scopus 로고
    • In vivo intracellular recording and perturbation of persistent activity in a neural integrator
    • Aksay, E., Gamkrelidzek, G., Seungk, H., Baker, R., & Tank, D. (2001). In vivo intracellular recording and perturbation of persistent activity in a neural integrator. Nature Neurosci., 4, 184-193.
    • (2001) Nature Neurosci. , vol.4 , pp. 184-193
    • Aksay, E.1    Gamkrelidzek, G.2    Seungk, H.3    Baker, R.4    Tank, D.5
  • 4
    • 0000438415 scopus 로고    scopus 로고
    • Dynamics of a recurrent network of spiking neurons before and following learning
    • Amit, D., & Brunel, N. (1997a). Dynamics of a recurrent network of spiking neurons before and following learning. Network, 8, 373-404.
    • (1997) Network , vol.8 , pp. 373-404
    • Amit, D.1    Brunel, N.2
  • 5
    • 0030947941 scopus 로고    scopus 로고
    • Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex
    • Amit, D., & Brunel, N. (1997b). Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cereb. Cortex, 7, 237-252.
    • (1997) Cereb. Cortex , vol.7 , pp. 237-252
    • Amit, D.1    Brunel, N.2
  • 6
    • 0035576016 scopus 로고    scopus 로고
    • Distance-dependent increase in AMPA receptor number in the dendrites of adult hippocampal cal pyramidal neurons
    • Andrasfalvy, B., & Magee, J. (2001). Distance-dependent increase in AMPA receptor number in the dendrites of adult hippocampal cal pyramidal neurons. J. Neurosci., 21, 9151-9159.
    • (2001) J. Neurosci. , vol.21 , pp. 9151-9159
    • Andrasfalvy, B.1    Magee, J.2
  • 7
    • 0034919450 scopus 로고    scopus 로고
    • The epidemiology of epilepsy: The size of the problem
    • Bell, G., & Sander, J. (2001). The epidemiology of epilepsy: The size of the problem. Seizure, 10, 306-314.
    • (2001) Seizure , vol.10 , pp. 306-314
    • Bell, G.1    Sander, J.2
  • 9
    • 0041730763 scopus 로고    scopus 로고
    • Persistent activity and the single-cell frequency-current curve in a cortical network model
    • Brunel, N. (2000). Persistent activity and the single-cell frequency-current curve in a cortical network model. Network: Computation in Neural Systems, 11, 261-280.
    • (2000) Network: Computation in Neural Systems , vol.11 , pp. 261-280
    • Brunel, N.1
  • 10
    • 0041360352 scopus 로고    scopus 로고
    • Firing rate of the noisy quadratic integrate-and-fire neuron
    • Brunel, N., & P. Latham (2003). Firing rate of the noisy quadratic integrate-and-fire neuron. Neural Comput., 15, 2281-2306.
    • (2003) Neural Comput. , vol.15 , pp. 2281-2306
    • Brunel, N.1    Latham, P.2
  • 11
    • 0032494755 scopus 로고    scopus 로고
    • Firing frequency of leaky intergrate-and-fire neurons with synaptic current dynamics
    • Brunel, N., & Sergi, S. (1998). Firing frequency of leaky intergrate-and-fire neurons with synaptic current dynamics. J. Theor. Biol., 195, 87-95.
    • (1998) J. Theor. Biol. , vol.195 , pp. 87-95
    • Brunel, N.1    Sergi, S.2
  • 12
    • 0034814469 scopus 로고    scopus 로고
    • Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition
    • Brunel, N., & Wang, X. (2001). Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. J. Comput. Neurosci., 11, 63-85.
    • (2001) J. Comput. Neurosci. , vol.11 , pp. 63-85
    • Brunel, N.1    Wang, X.2
  • 13
    • 0011591861 scopus 로고
    • Oscillations and low firing rates in associative memory neural networks
    • Buhmann, J. (1989). Oscillations and low firing rates in associative memory neural networks. Phys. Rev. A, 40, 4145-4148.
    • (1989) Phys. Rev. A , vol.40 , pp. 4145-4148
    • Buhmann, J.1
  • 14
    • 0037104631 scopus 로고    scopus 로고
    • Gain modulation from background synaptic input
    • Chance, F., Abbott, L., & Reyes, A. (2002). Gain modulation from background synaptic input. Neuron, 35, 773-782.
    • (2002) Neuron , vol.35 , pp. 773-782
    • Chance, F.1    Abbott, L.2    Reyes, A.3
  • 15
    • 0037079011 scopus 로고    scopus 로고
    • Graded persistent activity in entorhinal cortex neurons
    • Egorov, A., Hamam, B., Fransen, E., Hasselmo, M., & Alonso, A. (2002). Graded persistent activity in entorhinal cortex neurons. Nature, 420, 173-178.
    • (2002) Nature , vol.420 , pp. 173-178
    • Egorov, A.1    Hamam, B.2    Fransen, E.3    Hasselmo, M.4    Alonso, A.5
  • 16
    • 0030195232 scopus 로고    scopus 로고
    • Type i membranes, phase resetting curves, and synchrony
    • Ermentrout, B. (1996). Type i membranes, phase resetting curves, and synchrony. Neural Comput., 8, 979-1001.
    • (1996) Neural Comput. , vol.8 , pp. 979-1001
    • Ermentrout, B.1
  • 17
    • 0022693272 scopus 로고
    • Parabolic bursting in an excitable system coupled with a slow oscillation
    • Ermentrout, B., & Kopell, N. (1986). Parabolic bursting in an excitable system coupled with a slow oscillation. SIAM J. Appl. Math., 46, 233-253.
    • (1986) SIAM J. Appl. Math. , vol.46 , pp. 233-253
    • Ermentrout, B.1    Kopell, N.2
  • 18
    • 0036716145 scopus 로고    scopus 로고
    • Dynamics of the firing probability of noisy integrate-and-fire neurons
    • Fourcaud, N., & Brunel, N. (2002). Dynamics of the firing probability of noisy integrate-and-fire neurons. Neural Comput., 14, 2057-2110.
    • (2002) Neural Comput. , vol.14 , pp. 2057-2110
    • Fourcaud, N.1    Brunel, N.2
  • 19
    • 0035846981 scopus 로고    scopus 로고
    • Categorical representation of visual stimuli in the primate prefrontal cortex
    • Freedman, D., Riesenhuber, M., Poggio, T., & Miller, E. (2001). Categorical representation of visual stimuli in the primate prefrontal cortex. Science, 291, 312-316.
    • (2001) Science , vol.291 , pp. 312-316
    • Freedman, D.1    Riesenhuber, M.2    Poggio, T.3    Miller, E.4
  • 20
    • 0015222118 scopus 로고
    • Neuron activity related to short-term memory
    • Fuster, J., & Alexander, G. (1971). Neuron activity related to short-term memory. Science, 173, 652-654.
    • (1971) Science , vol.173 , pp. 652-654
    • Fuster, J.1    Alexander, G.2
  • 21
    • 0020078712 scopus 로고
    • Neuronal firing in the inferotemporal cortex of the monkey in a visual memory task
    • Fuster, J., & Jervey, J. (1982). Neuronal firing in the inferotemporal cortex of the monkey in a visual memory task. J. Neurosci., 2, 361-375.
    • (1982) J. Neurosci. , vol.2 , pp. 361-375
    • Fuster, J.1    Jervey, J.2
  • 22
    • 36149029786 scopus 로고
    • The space of interactions in neural network models
    • Gardner, E. (1988). The space of interactions in neural network models. J. Phys. A: Math. Gen., 21, 257-270.
    • (1988) J. Phys. A: Math. Gen. , vol.21 , pp. 257-270
    • Gardner, E.1
  • 23
    • 0000379808 scopus 로고
    • Coherence and incoherence in a globally coupled ensemble of pulse-emitting units
    • Gerstner, W., & van Hemmen, L. (1993). Coherence and incoherence in a globally coupled ensemble of pulse-emitting units. Phys. Rev. Lett., 71, 312-315.
    • (1993) Phys. Rev. Lett. , vol.71 , pp. 312-315
    • Gerstner, W.1    Van Hemmen, L.2
  • 24
    • 0001670336 scopus 로고
    • Willshaw model: Associative memory with sparse coding and low firing rates
    • Golomb, D., Rubin, N., & Sompolinsky, H. (1990). Willshaw model: Associative memory with sparse coding and low firing rates. Phys. Rev. A, 41, 1843-1854.
    • (1990) Phys. Rev. A , vol.41 , pp. 1843-1854
    • Golomb, D.1    Rubin, N.2    Sompolinsky, H.3
  • 25
    • 0032111678 scopus 로고    scopus 로고
    • Dynamics of membrane excitability determine interspike interval variability: A link between spike generation mechanisms and cortical spike train statistics
    • Gutkin, B., & Ermentrout, B. (1998). Dynamics of membrane excitability determine interspike interval variability: A link between spike generation mechanisms and cortical spike train statistics. Neural Comput., 10, 1047-1065.
    • (1998) Neural Comput. , vol.10 , pp. 1047-1065
    • Gutkin, B.1    Ermentrout, B.2
  • 26
    • 0035971275 scopus 로고    scopus 로고
    • Existence and stability of persistent states in large neuronal networks
    • Hansel, D., & Mato, G. (2001). Existence and stability of persistent states in large neuronal networks. Phys. Rev. Lett., 36, 4175-4178.
    • (2001) Phys. Rev. Lett. , vol.36 , pp. 4175-4178
    • Hansel, D.1    Mato, G.2
  • 27
    • 0002661656 scopus 로고    scopus 로고
    • Incidence and prevelance
    • J. Engel & T. A. Pedley (Eds.). Philadelphia: Lippincott-Raven
    • Hauser, W. (1997). Incidence and prevelance. In J. Engel & T. A. Pedley (Eds.), Epilepsy: A comprehensive textbook (Vol. 1, pp. 47-58). Philadelphia: Lippincott-Raven.
    • (1997) Epilepsy: A Comprehensive Textbook , vol.1 , pp. 47-58
    • Hauser, W.1
  • 28
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci., 79, 2554-2558.
    • (1982) Proc. Natl. Acad. Sci. , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 29
    • 0004469897 scopus 로고
    • Neurons with graded responses have collective computational properties like those of two-state neurons
    • Hopfield, J. J. (1984). Neurons with graded responses have collective computational properties like those of two-state neurons. Proc. Natl. Acad. Sci., 81, 3088-3092.
    • (1984) Proc. Natl. Acad. Sci. , vol.81 , pp. 3088-3092
    • Hopfield, J.J.1
  • 30
    • 2942615817 scopus 로고    scopus 로고
    • Associative memory in realistic neuronal networks
    • T. G. Dietterich, S. Becker, & Z. Ghahramani (Eds.). Cambridge MA: MIT Press
    • Latham, P. (2002). Associative memory in realistic neuronal networks. In T. G. Dietterich, S. Becker, & Z. Ghahramani (Eds.), Advances in Neural Information Processing Systems, 14. Cambridge MA: MIT Press.
    • (2002) Advances in Neural Information Processing Systems , vol.14
    • Latham, P.1
  • 33
    • 0037452922 scopus 로고    scopus 로고
    • The cost of cortical computation
    • Lennie, P. (2003). The cost of cortical computation. Curr. Biol., 13, 493-497.
    • (2003) Curr. Biol. , vol.13 , pp. 493-497
    • Lennie, P.1
  • 35
    • 0041762826 scopus 로고    scopus 로고
    • Effective neural response function for collective population states
    • Mascaro, M., & Amit, D. (1999). Effective neural response function for collective population states. Network, 10, 351-373.
    • (1999) Network , vol.10 , pp. 351-373
    • Mascaro, M.1    Amit, D.2
  • 36
    • 0029862813 scopus 로고    scopus 로고
    • Synaptic interactions between primate precentral cortex neurons revealed by spike-triggered averaging of intracellular membrane potentials in vivo
    • Matsumura, M., Chen, D., Sawaguchi, T., Kubota, K., & Fetz, E. (1996). Synaptic interactions between primate precentral cortex neurons revealed by spike-triggered averaging of intracellular membrane potentials in vivo. J. Neurosci., 16, 7757-7767.
    • (1996) J. Neurosci. , vol.16 , pp. 7757-7767
    • Matsumura, M.1    Chen, D.2    Sawaguchi, T.3    Kubota, K.4    Fetz, E.5
  • 37
    • 0022249586 scopus 로고
    • Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex
    • McCormick, D., Connors, B., Lighthall, J., & Prince, D. (1985). Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex. J. Neurophysiol., 54, 782-806.
    • (1985) J. Neurophysiol. , vol.54 , pp. 782-806
    • McCormick, D.1    Connors, B.2    Lighthall, J.3    Prince, D.4
  • 39
    • 0023849447 scopus 로고
    • Neuronal correlate of pictorial short-term memory in the primate temporal cortex
    • Miyashita, Y., & Chang, H. (1988). Neuronal correlate of pictorial short-term memory in the primate temporal cortex. Nature, 331, 68-70.
    • (1988) Nature , vol.331 , pp. 68-70
    • Miyashita, Y.1    Chang, H.2
  • 40
    • 0034081511 scopus 로고    scopus 로고
    • Neural representation of visual objects: Encoding and top-down activation
    • Miyashita, Y., & Hayasni, T. (2000). Neural representation of visual objects: Encoding and top-down activation. Curr. Opin. Neurobiol., 10, 187194.
    • (2000) Curr. Opin. Neurobiol. , vol.10 , pp. 187194
    • Miyashita, Y.1    Hayasni, T.2
  • 41
    • 0029082829 scopus 로고
    • Mnemonic firing of neurons in the monkey temporal pole during a visual recognition memory task
    • Nakamura, K., & Kubota, K. (1995). Mnemonic firing of neurons in the monkey temporal pole during a visual recognition memory task. J. Neurophysiol., 74, 162-178.
    • (1995) J. Neurophysiol. , vol.74 , pp. 162-178
    • Nakamura, K.1    Kubota, K.2
  • 42
    • 0037387038 scopus 로고    scopus 로고
    • Forward processing of long-term associative memory in monkey inferotemporal cortex
    • Naya, Y., Yoshida, M., & Miyashita, Y. (2003). Forward processing of long-term associative memory in monkey inferotemporal cortex. J. Neurosci., 23, 2861-2871.
    • (2003) J. Neurosci. , vol.23 , pp. 2861-2871
    • Naya, Y.1    Yoshida, M.2    Miyashita, Y.3
  • 43
    • 0036139793 scopus 로고    scopus 로고
    • Anatomic subdivisions in human temporal cortical neuronal activity related to recent verbal memory
    • Ojemann, G., Schoenfield-McNeill, J., & Corina, D. (2002). Anatomic subdivisions in human temporal cortical neuronal activity related to recent verbal memory. Nature Neurosci., 5, 64-71.
    • (2002) Nature Neurosci. , vol.5 , pp. 64-71
    • Ojemann, G.1    Schoenfield-McNeill, J.2    Corina, D.3
  • 44
    • 2942617625 scopus 로고
    • Models for excitable cells and networks
    • C. Koch & I. Segev (Eds.). Cambridge, MA: MIT Press
    • Rinzel, J., & Ermentrout, G. (1989). Models for excitable cells and networks. In C. Koch & I. Segev (Eds.), Methods in neuronal modeling: from synapses to networks (pp. 137-173). Cambridge, MA: MIT Press.
    • (1989) Methods in Neuronal Modeling: From Synapses to Networks , pp. 137-173
    • Rinzel, J.1    Ermentrout, G.2
  • 45
    • 84956125479 scopus 로고
    • Neural networks with low local firing rates
    • Rubin, N., & Sompolinsky, H. (1989). Neural networks with low local firing rates. Europhys. Lett., 10, 465-470.
    • (1989) Europhys. Lett. , vol.10 , pp. 465-470
    • Rubin, N.1    Sompolinsky, H.2
  • 46
    • 0029666317 scopus 로고    scopus 로고
    • A receptor-mediated inhibitory currents in adult rat somatosensory cortex
    • A receptor-mediated inhibitory currents in adult rat somatosensory cortex. J. Neurophysiol., 75, 1573-1588.
    • (1996) J. Neurophysiol. , vol.75 , pp. 1573-1588
    • Salin, P.A.1    Prince, D.A.2
  • 47
    • 0029800695 scopus 로고    scopus 로고
    • How the brain keeps the eyes still
    • Seung, H. (1996). How the brain keeps the eyes still. Proc. Natl. Acad. Sci., 93, 13339-13344.
    • (1996) Proc. Natl. Acad. Sci. , vol.93 , pp. 13339-13344
    • Seung, H.1
  • 48
    • 0037757598 scopus 로고    scopus 로고
    • The dynamical stability of reverberatory neural circuits
    • Tegner, J., Compte, A., & Wang, X. (2002). The dynamical stability of reverberatory neural circuits. Biol. Cybern., 87, 471-481.
    • (2002) Biol. Cybern. , vol.87 , pp. 471-481
    • Tegner, J.1    Compte, A.2    Wang, X.3
  • 49
    • 0034352129 scopus 로고    scopus 로고
    • Comparison of current-driven and conductance-driven neocortical model neurons with hodgkin-huxley voltage-gated channels
    • Tiesinga, P., José, J., & Sejnowski, T. (2000). Comparison of current-driven and conductance-driven neocortical model neurons with hodgkin-huxley voltage-gated channels. Phys. Rev. E, 62, 8413-8419.
    • (2000) Phys. Rev. E , vol.62 , pp. 8413-8419
    • Tiesinga, P.1    José, J.2    Sejnowski, T.3
  • 50
    • 0033554697 scopus 로고    scopus 로고
    • Top-down signal from prefrontal cortex in executive control of memory retrieval
    • Tomita, H., Ohbayashi, M., Nakahara, K., Hasegawa, I., & Miyashita, Y. (1999). Top-down signal from prefrontal cortex in executive control of memory retrieval. Nature, 401, 699-703.
    • (1999) Nature , vol.401 , pp. 699-703
    • Tomita, H.1    Ohbayashi, M.2    Nakahara, K.3    Hasegawa, I.4    Miyashita, Y.5
  • 51
    • 36149037160 scopus 로고
    • Mean-field analysis of neuronal spike dynamics
    • Treves, A. (1993). Mean-field analysis of neuronal spike dynamics. Network, 4, 259-284.
    • (1993) Network , vol.4 , pp. 259-284
    • Treves, A.1
  • 52
    • 0030485689 scopus 로고    scopus 로고
    • How much of the hippocampus can be explained by functional constraints?
    • Treves, A., Skaggs, W., & Barnes, C. (1996). How much of the hippocampus can be explained by functional constraints? Hippocampus, 6, 666-674.
    • (1996) Hippocampus , vol.6 , pp. 666-674
    • Treves, A.1    Skaggs, W.2    Barnes, C.3
  • 53
    • 84956108236 scopus 로고
    • The enhanced storage capacity in neural networks with low activity level
    • Tsodyks, M., & Feigel'man, M. (1988). The enhanced storage capacity in neural networks with low activity level. Europhys. Lett., 6, 101-105.
    • (1988) Europhys. Lett. , vol.6 , pp. 101-105
    • Tsodyks, M.1    Feigel'man, M.2
  • 54
    • 0029835892 scopus 로고    scopus 로고
    • Chaos in neuronal networks with balanced excitatory and inhibitory activity
    • van Vreeswijk, C., & Sompolinsky, H. (1996). Chaos in neuronal networks with balanced excitatory and inhibitory activity. Science, 274, 1724-1726.
    • (1996) Science , vol.274 , pp. 1724-1726
    • Van Vreeswijk, C.1    Sompolinsky, H.2
  • 55
    • 0033232525 scopus 로고    scopus 로고
    • Synaptic basis of cortical persistent activity: The importance of NMDA receptors to working memory
    • Wang, X. (1999). Synaptic basis of cortical persistent activity: The importance of NMDA receptors to working memory. J. Neurosci., 19, 9587-9603.
    • (1999) J. Neurosci. , vol.19 , pp. 9587-9603
    • Wang, X.1
  • 56
    • 0027182368 scopus 로고
    • Dissociation of object and spatial processing domains in primate prefrontal cortex
    • Wilson, F., Scalaidhe, S., & Goldman-Rakic, P. (1993). Dissociation of object and spatial processing domains in primate prefrontal cortex. Science, 260, 1955-1958.
    • (1993) Science , vol.260 , pp. 1955-1958
    • Wilson, F.1    Scalaidhe, S.2    Goldman-Rakic, P.3
  • 57
    • 0015260274 scopus 로고
    • Excitatory and inhibitory interactions in localized populations of model neurons
    • Wilson, H., & Cowan, J. (1972). Excitatory and inhibitory interactions in localized populations of model neurons. Biophys. J., 12, 1-24.
    • (1972) Biophys. J. , vol.12 , pp. 1-24
    • Wilson, H.1    Cowan, J.2
  • 58
    • 0032007994 scopus 로고    scopus 로고
    • A receptor-mediated currents in interneurons and pyramidal cells of rat visual cortex
    • A receptor-mediated currents in interneurons and pyramidal cells of rat visual cortex. J. Physiol., 506, 715-730.
    • (1998) J. Physiol. , vol.506 , pp. 715-730
    • Xiang, Z.1    Huguenard, J.2    Prince, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.