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Volumn , Issue , 2013, Pages 33-71

History of neural simulation software

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EID: 84991302069     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4614-1424-7_3     Document Type: Chapter
Times cited : (3)

References (102)
  • 2
    • 0031747899 scopus 로고    scopus 로고
    • On the use of Bayesian methods for evaluating compart- mental neural models
    • Baldi P, Vanier MC, Bower JM (1998) On the use of Bayesian methods for evaluating compart- mental neural models. J Comput Neurosci 5:285-314
    • (1998) J Comput Neurosci , vol.5 , pp. 285-314
    • Baldi, P.1    Vanier, M.C.2    Bower, J.M.3
  • 3
    • 33646019469 scopus 로고
    • Simulation-based tutorials for education in computational neuroscience
    • Eeckman FH (ed) Kluwer Academic, Norwell, MA
    • Beeman D (1994) Simulation-based tutorials for education in computational neuroscience. In: Eeckman FH (ed) Computation in neurons and neural systems. Kluwer Academic, Norwell, MA, pp 65-70
    • (1994) Computation in neurons and neural systems , pp. 65-70
    • Beeman, D.1
  • 4
    • 84953676708 scopus 로고
    • Computer graphics and electromagnetic fields
    • Beeman D, Boswell J (1977) Computer graphics and electromagnetic fields. Am J Phys 45:213
    • (1977) Am J Phys , vol.45 , pp. 213
    • Beeman, D.1    Boswell, J.2
  • 5
    • 2542433129 scopus 로고    scopus 로고
    • Simulator-independent representation of ionic conductance models with ChannelDB
    • Beeman D, Bower JM (2004) Simulator-independent representation of ionic conductance models with ChannelDB. Neurocomputing 58-60:1085-1090
    • (2004) Neurocomputing , vol.58-60 , pp. 1085-1090
    • Beeman, D.1    Bower, J.M.2
  • 8
  • 9
    • 0038458814 scopus 로고    scopus 로고
    • Managing models of signalling networks
    • Bhalla US (2003) Managing models of signalling networks. Neurocomputing 52-54:215-220
    • (2003) Neurocomputing , vol.52-54 , pp. 215-220
    • Bhalla, U.S.1
  • 10
    • 0027298224 scopus 로고
    • Exploring parameter space in detailed single neuron models: Simulations of the mitral and granule cells of the olfactory bulb
    • Bhalla US, Bower JM (1993) Exploring parameter space in detailed single neuron models: simulations of the mitral and granule cells of the olfactory bulb. J Neurophysiol 69:1948-1965
    • (1993) J Neurophysiol , vol.69 , pp. 1948-1965
    • Bhalla, U.S.1    Bower, J.M.2
  • 11
    • 0033555859 scopus 로고    scopus 로고
    • Emergent properties of networks of biological signaling pathways
    • Bhalla US, Iyengar R (1999) Emergent properties of networks of biological signaling pathways. Science 283:381-387
    • (1999) Science , vol.283 , pp. 381-387
    • Bhalla, U.S.1    Iyengar, R.2
  • 12
    • 0026784596 scopus 로고
    • Rallpacks: A set of benchmarks for neuronal simulators
    • Bhalla US, Bilitch DH, Bower JM (1992) Rallpacks: a set of benchmarks for neuronal simulators. Trends Neurosci 15:453-458
    • (1992) Trends Neurosci , vol.15 , pp. 453-458
    • Bhalla, U.S.1    Bilitch, D.H.2    Bower, J.M.3
  • 13
    • 0033806431 scopus 로고    scopus 로고
    • Evidence for a distinct light-induced calcium-dependent potassium current in Hermissenda crassicornis
    • Blackwell KT (2000) Evidence for a distinct light-induced calcium-dependent potassium current in Hermissenda crassicornis. J Comput Neurosci 9:149-170
    • (2000) J Comput Neurosci , vol.9 , pp. 149-170
    • Blackwell, K.T.1
  • 14
    • 0034005454 scopus 로고    scopus 로고
    • Additional efficient computation of branched nerve equations: Adaptive time step and ideal voltage clamp
    • Borg-Graham LJ (2000) Additional efficient computation of branched nerve equations: adaptive time step and ideal voltage clamp. J Comput Neurosci 8:209-226
    • (2000) J Comput Neurosci , vol.8 , pp. 209-226
    • Borg-Graham, L.J.1
  • 15
    • 0011763227 scopus 로고
    • Relations between the dynamical properties of single cells and their networks in piriform (olfactory) cortex
    • McKenna T, Davis J, Zornetzer S (eds) Academic, San Diego
    • Bower JM (1991) Relations between the dynamical properties of single cells and their networks in piriform (olfactory) cortex. In: McKenna T, Davis J, Zornetzer S (eds) Single neuron computation. Academic, San Diego, pp 437-462
    • (1991) Single neuron computation , pp. 437-462
    • Bower, J.M.1
  • 16
    • 0026728221 scopus 로고
    • Modeling the nervous system
    • Bower JM (1992) Modeling the nervous system. Trends Neurosci 15:411-412
    • (1992) Trends Neurosci , vol.15 , pp. 411-412
    • Bower, J.M.1
  • 17
    • 77954214288 scopus 로고    scopus 로고
    • Looking for Newton: Realistic modeling in modern biology
    • 1:bmm217 (urn:nbn:de:0009-3-2177)
    • Bower JM (2005) Looking for Newton: realistic modeling in modern biology. Brains Minds Media 1:bmm217 (urn:nbn:de:0009-3-2177)
    • (2005) Brains Minds Media
    • Bower, J.M.1
  • 20
    • 0026353877 scopus 로고
    • Simulation of the bursting activity of neuron R15 in Aplysia: Role of ionic currents, calcium balance, and modulatory transmitters
    • Canavier CC, Clark JW, Byrne JH (1991) Simulation of the bursting activity of neuron R15 in Aplysia: role of ionic currents, calcium balance, and modulatory transmitters. J Neurophysiol 66:2107-2124
    • (1991) J Neurophysiol , vol.66 , pp. 2107-2124
    • Canavier, C.C.1    Clark, J.W.2    Byrne, J.H.3
  • 23
    • 0015011137 scopus 로고
    • Prediction of repetitive firing behavior from voltage clamp data on an isolated neurone soma
    • Connor JA, Stevens CF (1971) Prediction of repetitive firing behavior from voltage clamp data on an isolated neurone soma. J Physiol 213:31-53
    • (1971) J Physiol , vol.213 , pp. 31-53
    • Connor, J.A.1    Stevens, C.F.2
  • 24
    • 0037706913 scopus 로고    scopus 로고
    • Neurospaces: Separating modeling and simulation
    • Cornelis H, De Schutter E (2003) Neurospaces: separating modeling and simulation. Neurocomputing 52-54:227-231. doi:10.1016/S0925-2312(02)00750-6
    • (2003) Neurocomputing , vol.52-54 , pp. 227-231
    • Cornelis, H.1    De Schutter, E.2
  • 25
    • 85037090278 scopus 로고    scopus 로고
    • Development of model-based publication for scientific communication
    • Cornelis H, Coop AD, Bower JM (2010) Development of model-based publication for scientific communication. BMC Neurosci 11(suppl 1):P69. doi:10.1186/1471-2202-11-S1-P69
    • (2010) BMC Neurosci , vol.11 , pp. P69
    • Cornelis, H.1    Coop, A.D.2    Bower, J.M.3
  • 26
    • 84855393704 scopus 로고    scopus 로고
    • A federated design for a neurobiological simulation engine: The CBI federated software architecture
    • Cornelis H, Coop AD, Bower JM (2012a) A federated design for a neurobiological simulation engine: the CBI federated software architecture. PLoS One 7:e28956. doi:10.1371/journal. pone.0028956
    • (2012) PLoS One , vol.7 , pp. e28956
    • Cornelis, H.1    Coop, A.D.2    Bower, J.M.3
  • 28
    • 34147178884 scopus 로고    scopus 로고
    • MorphML: Level 1 of the NeuroML standards for neuronal morphology data and model specification
    • Crook S, Gleeson P, Howell F, Svitak J, Silver R (2007) MorphML: Level 1 of the NeuroML standards for neuronal morphology data and model specification. Neuroinformatics 5:96-104. doi:10.1007/s 12021-007-0003-6
    • (2007) Neuroinformatics , vol.5 , pp. 96-104
    • Crook, S.1    Gleeson, P.2    Howell, F.3    Svitak, J.4    Silver, R.5
  • 29
    • 85010065988 scopus 로고    scopus 로고
    • Learning from the past: Approaches for reproducibility in computational neuroscience
    • Bower JM (ed) Springer, New York
    • Crook S, Davison AP, Plesser HE (2013) Learning from the past: approaches for reproducibility in computational neuroscience. In: Bower JM (ed) 20 Years of computational neuroscience. Springer, New York
    • (2013) 20 Years of computational neuroscience
    • Crook, S.1    Davison, A.P.2    Plesser, H.E.3
  • 34
    • 0015794804 scopus 로고
    • Action potential of the motor neuron
    • Dodge FA, Cooley JW (1973) Action potential of the motor neuron. IBM J Res Dev 17:219-229
    • (1973) IBM J Res Dev , vol.17 , pp. 219-229
    • Dodge, F.A.1    Cooley, J.W.2
  • 35
    • 84879468190 scopus 로고    scopus 로고
    • Brainlab: A Python toolkit to aid in the design, simulation, and analysis of spiking neural networks with the neocortical simulator
    • Drewes RP, Zou Q, Goodman PH (2009) Brainlab: a Python toolkit to aid in the design, simulation, and analysis of spiking neural networks with the neocortical simulator. Front Neuroinform 3:16. doi:10.3389/neuro. 11.016.2009
    • (2009) Front Neuroinform , vol.3 , pp. 16
    • Drewes, R.P.1    Zou, Q.2    Goodman, P.H.3
  • 37
    • 84878113972 scopus 로고    scopus 로고
    • XPPAUT
    • Ermentrout B (2006) XPPAUT. Scholarpedia 1(10):1399. doi:10.4249/scholarpedia.1399
    • (2006) Scholarpedia , vol.1 , Issue.10 , pp. 1399
    • Ermentrout, B.1
  • 40
    • 0000197119 scopus 로고
    • Reconstruction of small neural networks (chap 6)
    • Koch C, Segev I (eds) MIT Press, Cambridge, MA
    • Getting PA (1989) Reconstruction of small neural networks (chap 6). In: Koch C, Segev I (eds) Methods in neuronal modeling. MIT Press, Cambridge, MA, pp 171-194
    • (1989) Methods in neuronal modeling , pp. 171-194
    • Getting, P.A.1
  • 41
    • 34147114284 scopus 로고    scopus 로고
    • Neuroconstruct: A tool for modeling networks of neurons in 3d space
    • Gleeson P, Steuber V, Silver RA (2007) neuroconstruct: a tool for modeling networks of neurons in 3d space. Neuron 54:219-235
    • (2007) Neuron , vol.54 , pp. 219-235
    • Gleeson, P.1    Steuber, V.2    Silver, R.A.3
  • 46
    • 84885847922 scopus 로고    scopus 로고
    • Brian: A simulator for spiking neural networks in Python
    • Goodman DFM, Brette R (2008) Brian: a simulator for spiking neural networks in Python. Front Neuroinform 2:5. doi:10.3389/neuro.11.005.2008
    • (2008) Front Neuroinform , vol.2 , pp. 5
    • Goodman, D.F.M.1    Brette, R.2
  • 47
    • 84951025314 scopus 로고    scopus 로고
    • Nineml: A description language for spiking neuron network modeling: The user layer
    • The INCF Multiscale Modeling Taskforce
    • Gorchetchnikov A, The INCF Multiscale Modeling Taskforce (2010) Nineml: a description language for spiking neuron network modeling: the user layer. BMC Neurosci 11(suppl 1):P71. doi:10.1186/1471-2202-11-S1-P71
    • (2010) BMC Neurosci , vol.11 , pp. P71
    • Gorchetchnikov, A.1
  • 48
    • 0024514737 scopus 로고
    • Oscillatory responses in cat visual-cortex exhibit inter-columnar synchronization which reflects global stimulus properties
    • Gray CM, Konig P, Engel AK, Singer W (1989) Oscillatory responses in cat visual-cortex exhibit inter-columnar synchronization which reflects global stimulus properties. Nature 338:334-337
    • (1989) Nature , vol.338 , pp. 334-337
    • Gray, C.M.1    Konig, P.2    Engel, A.K.3    Singer, W.4
  • 49
    • 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. doi:10.1023/A:1008893429695
    • (1998) J Comput Neurosci , vol.5 , pp. 443-459
    • Hammarlund, P.1    Ekeberg, O.2
  • 50
    • 0005160157 scopus 로고
    • A practical method for the numerical solution of differential equations
    • Hartree DR (1932) A practical method for the numerical solution of differential equations. Mem Manchester Lit Phil Soc 77:91-107
    • (1932) Mem Manchester Lit Phil Soc , vol.77 , pp. 91-107
    • Hartree, D.R.1
  • 51
    • 0021322056 scopus 로고
    • Efficient computation of branched nerve equations
    • Hines M (1984) Efficient computation of branched nerve equations. Int J Biomed Comput 15:69-79
    • (1984) Int J Biomed Comput , vol.15 , pp. 69-79
    • Hines, M.1
  • 52
    • 0024580163 scopus 로고
    • A program for the simulation of nerve equations with branching geometries
    • Hines M (1989) A program for the simulation of nerve equations with branching geometries. Int J Biomed Comput 24:55-68
    • (1989) Int J Biomed Comput , vol.24 , pp. 55-68
    • Hines, M.1
  • 53
    • 0034180688 scopus 로고    scopus 로고
    • Expanding NEURON's repertoire of mechanisms with NMODL
    • Hines ML, Carnevale NT (2000) Expanding NEURON's repertoire of mechanisms with NMODL. Neural Comput 12:995-1007
    • (2000) Neural Comput , vol.12 , pp. 995-1007
    • Hines, M.L.1    Carnevale, N.T.2
  • 55
    • 35649001607 scopus 로고
    • A quantitative description of membrane current and its application to conduction and excitation in nerve
    • Hodgkin A, Huxley A (1952) A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol (London) 117:500-544
    • (1952) J Physiol (London) , vol.117 , pp. 500-544
    • Hodgkin, A.1    Huxley, A.2
  • 56
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • Hopfield JJ (1982) Neural networks and physical systems with emergent collective computational abilities. Proc Natl Acad Sci USA 79:2554
    • (1982) Proc Natl Acad Sci USA , vol.79 , pp. 2554
    • Hopfield, J.J.1
  • 57
    • 2542466483 scopus 로고    scopus 로고
    • The Modeler's workspace: Making model- based studies of the nervous system more accessible (chap 5)
    • Ascoli G (ed) Humana Press, Totowa, NJ
    • Hucka M, Shankar K, Beeman D, Bower JM (2002) The Modeler's workspace: making model- based studies of the nervous system more accessible (chap 5). In: Ascoli G (ed) Computational neuroanatomy: principles and methods. Humana Press, Totowa, NJ, pp 83-115
    • (2002) Computational neuroanatomy: Principles and methods , pp. 83-115
    • Hucka, M.1    Shankar, K.2    Beeman, D.3    Bower, J.M.4
  • 58
    • 0037342537 scopus 로고    scopus 로고
    • The systems biology markup language (SBML): A medium for representation and exchange of biochemical network models
    • Hucka M, Finney A, Sauro H, Bolouri H, Doyle J, Kitano H, Arkin A (2003) The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinformatics 19:524-531
    • (2003) Bioinformatics , vol.19 , pp. 524-531
    • Hucka, M.1    Finney, A.2    Sauro, H.3    Bolouri, H.4    Doyle, J.5    Kitano, H.6    Arkin, A.7
  • 64
    • 0001574028 scopus 로고
    • Dynamics of tetrahedral networks: Amorphous Si and Ge
    • Maley N, Beeman D, Lannin JS (1988) Dynamics of tetrahedral networks: amorphous Si and Ge. Phys Rev B38:10-611
    • (1988) Phys Rev , vol.B38 , pp. 10-611
    • Maley, N.1    Beeman, D.2    Lannin, J.S.3
  • 65
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in nervous activity
    • Mcullough WS, Pitts WH (1943) A logical calculus of the ideas immanent in nervous activity. Bull Math Biophys 5:115-133
    • (1943) Bull Math Biophys , vol.5 , pp. 115-133
    • Mcullough, W.S.1    Pitts, W.H.2
  • 68
    • 12744255583 scopus 로고
    • Simulating neurons and neuronal networks on parallel computers (chap 12)
    • Koch C, Segev I (eds) MIT Press, Cambridge, MA
    • Nelson M, Furmanski W, Bower JM (1989) Simulating neurons and neuronal networks on parallel computers (chap 12). In: Koch C, Segev I (eds) Methods in neuronal modeling. MIT Press, Cambridge, MA, pp 397-438
    • (1989) Methods in neuronal modeling , pp. 397-438
    • Nelson, M.1    Furmanski, W.2    Bower, J.M.3
  • 69
    • 77954383001 scopus 로고    scopus 로고
    • PCSIM: A parallel simulation environment for neural circuits fully integrated with Python
    • Pecevski D, Natschläger T, Schuch K (2009) PCSIM: a parallel simulation environment for neural circuits fully integrated with Python. Front Neuroinform 3:11. doi:10.3389/neuro. 11.011.200
    • (2009) Front Neuroinform , vol.3 , pp. 11
    • Pecevski, D.1    Natschläger, T.2    Schuch, K.3
  • 70
    • 0017614830 scopus 로고
    • A computer model of the cerebellar cortex of the frog
    • Pellionisz A, Llinas R, Perkel DH (1977) A computer model of the cerebellar cortex of the frog. Neuroscience 2:19-35
    • (1977) Neuroscience , vol.2 , pp. 19-35
    • Pellionisz, A.1    Llinas, R.2    Perkel, D.H.3
  • 71
    • 12744258163 scopus 로고
    • Stanford University Press, Stanford CA Raikov I, INCF
    • Perkel DH, Watt JH (1981) A manual for MANUEL. Stanford University Press, Stanford CA Raikov I, INCF
    • (1981) A manual for MANUEL
    • Perkel, D.H.1    Watt, J.H.2
  • 72
    • 80053204497 scopus 로고    scopus 로고
    • NineML: A description language for spiking neuron network modeling: The abstraction layer
    • Multiscale Modeling Taskforce (2010) NineML: a description language for spiking neuron network modeling: the abstraction layer. BMC Neurosci 11(suppl 1):P66. doi:10.1186/1471-2202-11-S1-P66
    • (2010) BMC Neurosci , vol.11 , pp. P66
  • 73
    • 0000208310 scopus 로고
    • Branching dendritic trees and motoneuron membrane resistivity
    • Rall W (1959) Branching dendritic trees and motoneuron membrane resistivity. Exp Neurol 1:491-527
    • (1959) Exp Neurol , vol.1 , pp. 491-527
    • Rall, W.1
  • 74
    • 0000599237 scopus 로고
    • Electrophysiology of a dendritic neuron model
    • Rall W (1962a) Electrophysiology of a dendritic neuron model. Biophys J 2:145-167
    • (1962) Biophys J , vol.2 , pp. 145-167
    • Rall, W.1
  • 75
    • 0000996439 scopus 로고
    • Theory of physiological properties of dendrites
    • Rall W (1962b) Theory of physiological properties of dendrites. Ann N Y Acad Sci 96:1071-1092
    • (1962) Ann N Y Acad Sci , vol.96 , pp. 1071-1092
    • Rall, W.1
  • 76
    • 0002117770 scopus 로고
    • Theoretical significance of dendritic tress for neuronal input-output relations
    • Reiss RF (ed) Stanford University Press, Stanford CA
    • Rall W (1964) Theoretical significance of dendritic tress for neuronal input-output relations. In: Reiss RF (ed) Neural theory and modeling. Stanford University Press, Stanford CA, pp 73-97
    • (1964) Neural theory and modeling , pp. 73-97
    • Rall, W.1
  • 77
    • 0014124225 scopus 로고
    • Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input
    • Rall W (1967) Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input. J Neurophysiol 30:1138-1168
    • (1967) J Neurophysiol , vol.30 , pp. 1138-1168
    • Rall, W.1
  • 79
    • 0014352939 scopus 로고
    • Theoretical reconstruction of field potentials and dendrodendritic synaptic interaction in olfactory bulb
    • Rall W, Shepherd GM (1968) Theoretical reconstruction of field potentials and dendrodendritic synaptic interaction in olfactory bulb. J Neurophysiol 31:884-915
    • (1968) J Neurophysiol , vol.31 , pp. 884-915
    • Rall, W.1    Shepherd, G.M.2
  • 80
    • 77949823666 scopus 로고    scopus 로고
    • PyMOOSE: Interoperable scripting in Python for MOOSE
    • Ray S, Bhalla US (2008) PyMOOSE: interoperable scripting in Python for MOOSE. Front Neuroinform 2:6. doi:10.3389/neuro.11.006.2008
    • (2008) Front Neuroinform , vol.2 , pp. 6
    • Ray, S.1    Bhalla, U.S.2
  • 81
    • 84993985120 scopus 로고    scopus 로고
    • An efficient simulation environment for modeling large-scale cortical processing
    • Richert M, Nageswaran JM, Dutt N, Krichmar JL (2011) An efficient simulation environment for modeling large-scale cortical processing. Front Neuroinform 5:19
    • (2011) Front Neuroinform , vol.5 , pp. 19
    • Richert, M.1    Nageswaran, J.M.2    Dutt, N.3    Krichmar, J.L.4
  • 82
    • 0040958836 scopus 로고
    • Electrical excitability of cells, theory and experiment: Review of the Hodgkin- Huxley foundation and an update
    • Rinzel J (1990) Electrical excitability of cells, theory and experiment: review of the Hodgkin- Huxley foundation and an update. Bull Math Biol 52:5-23
    • (1990) Bull Math Biol , vol.52 , pp. 5-23
    • Rinzel, J.1
  • 83
    • 33745825707 scopus 로고    scopus 로고
    • An event-driven framework for the simulation of networks of spiking neurons
    • Belgium
    • Rochel O, Martinez D (2003) An event-driven framework for the simulation of networks of spiking neurons. In: ESANN-2003, Bruges, Belgium, pp 295-300
    • (2003) ESANN-2003 Bruges , pp. 295-300
    • Rochel, O.1    Martinez, D.2
  • 84
    • 33846458313 scopus 로고    scopus 로고
    • Feedforward inhibition controls the spread of granule cell: Induced Purkinje cell activity in the cerebellar cortex
    • Santamaria F, Tripp PG, Bower JM (2007) Feedforward inhibition controls the spread of granule cell: induced Purkinje cell activity in the cerebellar cortex. J Neurophysiol 97:248-263. doi:10.1152/jn.01098.2005, http://jn.physiology.org/content/97/1Z248.full.pdf+html
    • (2007) J Neurophysiol , vol.97 , pp. 248-263
    • Santamaria, F.1    Tripp, P.G.2    Bower, J.M.3
  • 85
    • 0024329479 scopus 로고
    • Purkinje cell recording in rodent cerebellar cortex
    • Sasaki K, Bower JM, Llinas R (1989) Purkinje cell recording in rodent cerebellar cortex. Eur J Neurosci 1:572-586
    • (1989) Eur J Neurosci , vol.1 , pp. 572-586
    • Sasaki, K.1    Bower, J.M.2    Llinas, R.3
  • 86
    • 0022387704 scopus 로고
    • Modeling the electrical behaviour of anatomically complex neurons using a network analysis program: Passive membrane
    • Segev I, Fleshman JW, Miller JP, Bunow B (1985) Modeling the electrical behaviour of anatomically complex neurons using a network analysis program: passive membrane. Biol Cybern 53:27-40
    • (1985) Biol Cybern , vol.53 , pp. 27-40
    • Segev, I.1    Fleshman, J.W.2    Miller, J.P.3    Bunow, B.4
  • 87
    • 0018721122 scopus 로고
    • Computer simulation of a dendro-dendritic synapse circuit for self- and lateral-inhibition in the olfactory bulb
    • Shepherd GM, Brayton RK (1979) Computer simulation of a dendro-dendritic synapse circuit for self- and lateral-inhibition in the olfactory bulb. Brain Res 175:377-382
    • (1979) Brain Res , vol.175 , pp. 377-382
    • Shepherd, G.M.1    Brayton, R.K.2
  • 89
    • 70350099636 scopus 로고    scopus 로고
    • Python for large-scale electrophysiology
    • Spacek MA, Blanche T, Swindale N (2009) Python for large-scale electrophysiology. Front Neuroinform 2:1. doi:10.3389/neuro.11.009.2008
    • (2009) Front Neuroinform , vol.2 , pp. 1
    • Spacek, M.A.1    Blanche, T.2    Swindale, N.3
  • 90
    • 85057660342 scopus 로고    scopus 로고
    • Monte Carlo methods for simulating realistic synaptic microphysiology using MCell
    • Schutter ED (ed) CRC Press, Boca Raton
    • Stiles JR, Bartol TM (2001) Monte Carlo methods for simulating realistic synaptic microphysiology using MCell. In: Schutter ED (ed) Computational neuroscience: realistic modeling for experimentalists. CRC Press, Boca Raton, pp 87-127
    • (2001) Computational neuroscience: Realistic modeling for experimentalists , pp. 87-127
    • Stiles, J.R.1    Bartol, T.M.2
  • 91
    • 0040143157 scopus 로고
    • Thermodynamics of an Ising model with random exchange interactions
    • Thorpe MF, Beeman D (1976) Thermodynamics of an Ising model with random exchange interactions. Phys Rev B14:188
    • (1976) Phys Rev , vol.B14 , pp. 188
    • Thorpe, M.F.1    Beeman, D.2
  • 92
    • 0017345549 scopus 로고
    • Motor neurons of different geometry and the size principle
    • Traub R (1977) Motor neurons of different geometry and the size principle. Biol Cybern 25:163-176
    • (1977) Biol Cybern , vol.25 , pp. 163-176
    • Traub, R.1
  • 93
    • 0019968616 scopus 로고
    • Simulation of intrinsic bursting in CA3 hippocampal neurons
    • Traub RD (1982) Simulation of intrinsic bursting in CA3 hippocampal neurons. Neuroscience 7:1233-1242
    • (1982) Neuroscience , vol.7 , pp. 1233-1242
    • Traub, R.D.1
  • 94
    • 0018378421 scopus 로고
    • Hippocampal pyramidal cells: Significance of dendritic ionic conductances for neuronal function and epileptogenesis
    • Traub RD, Llinas R (1979) Hippocampal pyramidal cells: significance of dendritic ionic conductances for neuronal function and epileptogenesis. J Neurophysiol 42:476-496
    • (1979) J Neurophysiol , vol.42 , pp. 476-496
    • Traub, R.D.1    Llinas, R.2
  • 95
    • 0025781361 scopus 로고
    • A model of a CA3 hippocampal neuron incorporating voltage-clamp data on intrinsic conductances
    • Traub RD, Wong RKS, Miles R, Michelson H (1991) A model of a CA3 hippocampal neuron incorporating voltage-clamp data on intrinsic conductances. J Neurophysiol 66:635-650
    • (1991) J Neurophysiol , vol.66 , pp. 635-650
    • Traub, R.D.1    Wong, R.K.S.2    Miles, R.3    Michelson, H.4
  • 97
    • 0032875742 scopus 로고    scopus 로고
    • A comparative survey of automated parameter-search methods for compartmental neural models
    • Vanier MC, Bower JM (1999) A comparative survey of automated parameter-search methods for compartmental neural models. J Comput Neurosci 7:149-171
    • (1999) J Comput Neurosci , vol.7 , pp. 149-171
    • Vanier, M.C.1    Bower, J.M.2
  • 98
  • 99
    • 0002948614 scopus 로고
    • The simulation of large scale neural networks (chap 9)
    • Koch C, Segev I (eds) MIT Press, Cambridge, MA
    • Wilson MA, Bower JM (1989) The simulation of large scale neural networks (chap 9). In: Koch C, Segev I (eds) Methods in neuronal modeling. MIT Press, Cambridge, MA, pp 291-333
    • (1989) Methods in neuronal modeling , pp. 291-333
    • Wilson, M.A.1    Bower, J.M.2
  • 100
    • 0000732840 scopus 로고
    • A computer simulation of oscillatory behavior in primary visual cortex
    • Wilson M, Bower JM (1991) A computer simulation of oscillatory behavior in primary visual cortex. Neural Comput 3:498-509
    • (1991) Neural Comput , vol.3 , pp. 498-509
    • Wilson, M.1    Bower, J.M.2
  • 101
    • 0026721090 scopus 로고
    • Cortical oscillations and temporal interactions in a computer simulation of piriform cortex
    • Wilson M, Bower JM (1992) Cortical oscillations and temporal interactions in a computer simulation of piriform cortex. J Neurophysiol 67:981-995
    • (1992) J Neurophysiol , vol.67 , pp. 981-995
    • Wilson, M.1    Bower, J.M.2


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