Source: http://genesis-sim.org/GENESIS/pubs.html
Timestamp: 2019-04-20 19:08:09+00:00

Document:
The following list contains the research publications that we know of (as of September, 2007), originating from outside of the Bower laboratory.
We have listed only peer-reviewed papers in journals, books, and published conference proceedings. This does not include the many conference abstracts or unpublished proceedings, talks, and poster presentations.
If you know of others, please send the reference to genesis@genesis-sim.org.
Adorjan, P. Barna, G., Erdi, P., Grobler, T., Kepecs. A., Lengyel, M. and Ventriglia, F. (1996) Multicompartmental modeling of hippocampal pyramidal cells and interneurons with the GENESIS software tool. Neurobiology, 4: 247-249.
Aradi, I. and Holmes, W. R. (1999) Role of Multiple Calcium and Calcium-Dependent Conductances in Regulation of Hippocampal Dentate Granule Cell Excitability. J. Comput. Neurosci. 6: 215-235.
Aradi, I. and Holmes, W. R. (1999) Active dendrites regulate spatio-temporal synaptic integration in hippocampal dentate granule cells. Neurocomputing 26-27: 45-51.
Achard, P. and De Schutter, E. (2006) Complex parameter landscape for a complex neuron model. PLoS Comput Biol. 2:94.
Atunes, G., Simoes-de-Souza, F.M. and Roque, A.C (2003) Sensitivity of AMPA receptor channel to calcium oscillations: a computational study. Neurocomputing 52-54: 341-346.
August, D. A. and Levy, W. B. (1995) Information maintenance by retinal ganglion cell spikes. In: Proceedings of the Third Annual Computation and Neural Systems Meeting, J. M. Bower (Ed.), Kluwer Academic Publishers, Boston, 41-46.
Barbano, P. E., Spivak, M., Feng, J., Antoniotti, M,. and Mishra, B. (2005) A coherent framework for multiresolution analysis of biological networks with "memory": Ras pathway, cell cycle, and immune system. Proc. Natl. Acad. Sci. USA 102:6245-6250.
Bazso, F., Kepecs, A., Lengyel, M., Payrits, S., Szalisznyo, K., Zalanyi, L. and Erdi, P. (1999) Single cell and population activities in cortical-like systems. Rev. Neurosci.10(3-4):201-212.
Beeman, D. (2005) GENESIS Modeling Tutorial. Brains, Minds, and Media. 1: bmm220 (urn:nbn:de:0009-3-2206).
Berends, M., Maex, R. and De Schutter, E. (2004) A detailed three-dimensional model of the cerebellar granular layer. Neurocomputing 58-60:587-592.
Bhalla, U.S. and Iyengar, R. (1999) Emergent properties of networks of biological signaling pathways. Science 283: 381-387.
Bhalla, U. S. (2000) Modeling Networks of Signaling Pathways. In Computational Neuroscience: Realistic Modeling for Experimentalists, E. De Schutter (ed.) CRC Press, Boca Raton, Chapter 2, 25-48.
Bhalla, U.S. and Iyengar, R. (2001) Robustness of the bistable behavior of a biological signaling feedback loop. Chaos 11:221-226.
Bhalla, U. S. (2002) Biochemical signaling networks decode temporal patterns of synaptic input. J. Comput. Neurosci. 13: 49-62.
Bhalla, U.S. (2002) Mechanisms for temporal tuning and filtering by postsynaptic signaling pathways. Biophys. J. 83:740-752.
Bhalla, U.S. (2002) The chemical organization of signaling interactions. Bioinformatics 18:855-863.
Bhalla, U.S. (2002) Use of Kinetikit and GENESIS for modeling signaling pathways. In: Methods in Enzymology. 345:3-23 Ed. J.D. Hildebrandt and R. Iyengar. Academic Press.
Bhalla, U.S., Ram, P. and Iyengar, R. (2002) MAP kinase phosphatase as a locus of flexibility in a mitogen- activated protein kinase signaling network. Science 297:1018-1023.
Bhalla, U. S. (2003) Managing models of signalling networks. Neurocomputing, 52-54: 215-220.
Bhalla, U.S. (2003) Temporal computation by synaptic signaling pathways. J. Chem. Neuroanat. 26:81-86.
Bhalla, U. S. (2004) Signaling in small subcellular volumes. I. Stochastic and diffusion effects on individual pathways. Biophys. J. 87:733-44.
Bhalla, U. S. (2004) Signaling in small subcellular volumes. II. Stochastic and diffusion effects on synaptic network properties. Biophys. J. 87:745-753.
Blackwell, K.T., Vogl, T.P., and Alkon, D.L. (1998) Cellular mechanisms of calcium elevation involved in long term memory. In: Computational Neuroscience: Trends in Research 1998 (J. M. Bower, Ed.), Plenum Publishing Co., NY pp. 137-142.
Blackwell K.T., (1999) Dynamics of light-induced current in Hermissenda. Neurocomputing 26-27: 61-67.
Blackwell K.T. (2000) Evidence for a distinct light-induced calcium-dependent potassium current in Hermissenda crassicornis. J. Comput. Neurosci. 9: 147-170.
Blackwell K.T. (2000) Characterization of the light-induced currents in Hermissenda. Neurocomputing 32-33: 45-49.
Blackwell, K. T. (2001) Propagation of calcium waves i the Hermissenda Type B photoreceptor. Neurocomputing 38-40: 1-7.
Blackwell K.T. (2002) Calcium waves and closure of leak potassium currents caused by GABA stimulation of the type B photoreceptor of Hermissenda crassicornis. J. Neurophysiol. 87: 776-792.
Blackwell, K. T. (2004) Paired turbulence and light do not produce a supralinear calcium increase in Hermissenda. J. Comput. Neurosci. 17:79-97.
Blackwell, K. T. (2005) Modeling Calcium Concentration and Biochemical Reactions. Brains, Minds, and Media. 1:bmm224 (urn:nbn:de:0009-3-2245).
Blackwell, K. T. (2006) Ionic currents underlying difference in light response between photoreceptors. J. Neurophys. 95:3060-3067.
Blazis, D. E.J., Fischer, T. M. and Carew, T. J. (1993) A Neural Network Model of Inhibitory Information Processing in Aplysia. Neural Computation 5: 213.
Bormann G., Brosens F., and De Schutter, E. (2001) Modeling molecular diffusion. In Computational Methods in Molecular and Cellular Biology: from Genotype to Phenotype. J.M. Bower and H. Bolouri editors MIT Press, Boston.
Calabrese, R., Hill, A. A. V. and van Hooser, S. D. (2000) Realistic modeling of small neuronal circuits. In: Computational Neuroscience: Realistic Modeling for Experimentalists, E. De Schutter (ed.) CRC Press, Boca Raton, Chapter 10, 259-288.
Cannon, R. C., Gewaltig, M-O., Gleeson, P., Bhalla, U. S., Cornelis, H., Hines, M. L., Howell, F. W., Muller, E., Stiles, J. R., Wils, S. and De Schutter, E. (2007) Interoperability of Neuroscience Modeling Software: Current Status and Future Directions. Neuroinformatics (in press).
Coop, A. and Redman, S.J. (1993) A model of the peristaltic reflex. In: Computation and Neural Systems, F. H. Eeckman and J. M. Bower (eds.), Kluwer Academic Publishers pp. 313-320.
Copelli, M., Oliveira, R. F., Roque, A. C. and Kinouchi, O. (2005) Signal compression in the sensory periphery. Neurocomputing 65-66:691-696.
Coster, A. C. F. and Celler, B. G. (2003). Phase response of model sinoatrial node cells. Annals of Biomedical Engineering 31:271-283.
Crook, S., Gleeson, P., Howell, F., Svitak, J. and Silver, R. A. (2007) MorphML: Level 1 of the NeuroML standards for neuronal morphology data and model specification. Neuroinformatics (in press).
Dahlhaus, R., Eichler, M. and Sandkuhler, J. (1997) Identification of synaptic connections in neural ensembles by graphical models. J. Neurosci. Methods 77: 93-107.
Dai, Y., Jones, K.E., Fedirchuk, B., Krawitz, S., and Jordan, L.M. (1998). Modeling the lowering of motoneurone Voltage threshold during fictive locomotion. In Neuronal Mechanisms for Generating Locomotor Activity. Kiehn O., Harris-Warrick R.M., Jordan L.M., Hultborn H. and Kudo N (Eds), pp 492-495. Annals of the New York Academy of Sciences, New York.
Dai, Y., Jones, K., Fedirchuk, B. and Jordan, L. (2000) Regulation of the action potential voltage threshold in cat spinal motoneurons during fictive locomotion. Neurocomputing 32-33:105-111.
Dai, Y., Jones, K., Fedirchuk, B., McCrea, D. A . and Jordan, L. (2002) A modelling study of locomotion-induced hyperpolarization of voltage threshold in cat lumbar motoneurones. J. Physiol. 544: 521-536.
de Pinho, M. and Roque, A. C. (1998) A computer simulation of the formation of tonotopic maps in the primary auditory cortex. In: Braga, A. P. (Ed.). Anais do V Simposio Brasileiro de Redes Neurais, Belo Horizonte-MG. Sociedade Brasileira de Computacao/UFMG, pp. 213-216.
de Pinho, M. and Roque, A. C. (1999) A realistic computational model of formation and variability of tonotopic maps in the auditory cortex. Neurocomputing 26-27: 355-359.
de Pinho, M.. Mazza, M. and Roque, A. C. (2000) A biologically plausible computer simulation of classical conditioning induced reorganization of tonotopic maps in the auditory cortex. Neurocomputing 32-33: 685-691.
de Pinho, M., Mazza, M. and Roque A. C. (2001) A realistic model of tonotopic reorganization in the auditory cortex in response to cochlear lesions. Neurocomputing 38-40:1169-1174.
de Pinho, M., Mazza, M., Piqueira, C. and Roque A. C. (2002) Shannons entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning. Neurocomputing, 44-46: 359-364.
de Pinho, M., Mazza, M. and Roque, A. C. (2006) A computational model of the primary auditory cortex exhibiting plasticity in the frequency representation. Neurocomputing 70:3-8.
De Schutter, E. (1999) Using realistic models to study synaptic integration in cerebellar Purkinje cells. Reviews in the Neurosciences 10: 233-245.
De Schutter, E. and Smolen, P. (1998) Calcium dynamics in large neuronal models. In: Methods in neuronal modeling: from ions to networks, C. Koch and I. Segev editors, MIT Press, Boston. 211-250.
De Schutter, E. and Steuber, V. (2000) Modeling Simple and Complex Active Neurons. In: Computational Neuroscience: Realistic Modeling for Experimentalists, E. De Schutter (ed.) CRC Press, Boca Raton, Chapter 9, 233-257.
De Schutter, E., Vos, B. P., and Maex, R. (2000) The function of cerebellar Golgi cells revisited. In: Progress in Brain Research, De Zeeuw, C.I., Ruigrok, T.J.H. and Gerrits, N.M. editors, 124: 81-93.
Doi, T., Kuroda, S., Michikawa, T. and Kawato, M. (2005) Spike-Timing Detection by Calcium Signaling Pathways of Cerebellar Purkinje Cells in Different Forms of Long-Term Depression. J. Neurosci. 25:950-961.
Du, X., Ghosh, B. K. and Ulinski, P. (2005) Encoding and decoding target locations with waves in the turtle visual cortex. IEEE Trans. Biomed. Eng. 52:566-577.
Du, X., Ghosh, B. K. and Ulinski, P. (2006) Encoding of motion targets by waves in turtle visual cortex. IEEE Trans. Biomed. Eng. 53:1688-1695.
Dyhrfjeld-Johnson, J., Nielson, P., Luhmann, H. J., Nothoff, G. and Kotter, R. (2002) Multi-level network modeling of cortical dynamics built on the GENESIS environment. Neurocomputing, 44-46: 863-868.
Dyhrfjeld-Johnson, J., Stephan, K., Maier, J., Luhmann, H. and Kotter, R. (2003) Guiding the modeller: organizing and selecting experimental model using the CoCoDat database. Neurocomputing, 52-54: 239-245.
Dyhrfjeld-Johnsen, J., Maier, J., Schubert, D., Staiger, J., Luhmann, H.J., Stephan, K.E., Kotter, R. (2005) CoCoDat: A database system for organizing and selecting quantitative data on single neurons and neuronal microcircuitry. J. Neurosci. Meth. 141:291-308.
Erdi, P., Huhn, Zs. and Kiss, T. (2005) Hippocampal theta rhythms from a computational perspective: code generation, mood regulation and navigation Neural Networks 18:1202-1211.
Finkel ,L.H., Yen, S-C. and Menschik, E. D. (1998) Synchronization: The Computational Currency of Cognition. ICANN 98, Proceedings of the 8th International Conference on Artificial Neural Networks Skovde, Sweden, 2-4 September 1998. Niklasson L, Boden M, Ziemke T (eds.). New York: Springer-Verlag, 1998.
Franck, P., Maex, R. and De Schutter, E. (2001) Synchronization between patches of local excitation in a cerebellar granule layer model. Neurocomputing 38-40: 595-599.
Fransen, E., Wallenstein, G.V., Alonso, A.A., Dickson, C.T. and Hasselmo, M.E. (1999) A biophysical simulation of intrinsic and network properties of entorhinal cortex. Neurocomputing 26-27: 375-380.
Fransen, E., Alonso, A. A. and Hasselmo, M. E. (2001) Entorhinal neuronal activity during delayed matching tasks may depend on muscarinic-induced non-specific cation current I(CANM). Neurocomputing 38-40: 601-606.
Fransen, E., Alonso, A.A. and Hasselmo, M.E. (2002) Simulations of the role of the muscarinic-activated calcium-sensitive non-specific cation current I(NCM) in entorhinal neuronal activity during delayed matching tasks. J. Neurosci. 22: 1081-1097.
Fransen, E. (2003) Coexistence of synchronized "oscillatory" and desynchronized "rate" activity in cortical networks. Neurocomputing, 52-54: 763-769.
Fransen, E., Alonso A. A., Dickson, C. T., Magistretti, J. and Hasselmo, M.E. (2004) Ionic mechanisms in the generation of subthreshold oscillations and action potential clustering in entorhinal layer II stellate neurons. Hippocampus, 14:368-84.
Fransen, E., Tahvildari, B., Egorov, A. V., Hasselmo, M. E. and Alonso, A. A. (2006) Mechanism of graded persistent cellular activity of entorhinal cortex layer V pyramidal neurons. Neuron 49:735-746.
Gardiner, P., Dai, Y. and Heckman, C. J. (2006) The effects of exercise training on alpha-motoneurons. J. Appl. Physiol. 101:1228-1236.
Gleeson, P., Steuber, V. and Silver, R. (2007) neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space. Neuron, 54:219-235.
Graham, B.P. and Redman, S.J. (1993) Dynamic behaviour of a model of the muscle stretch reflex. Neural Networks 6:947-962.
Hajos, M., Hoffmann, W. E., Orban, G., Kiss, T. and Erdi, P. (2004) Modulation of septo-hippocampal theta activity by GABAA receptors: Experimental and computational approach. Neuroscience 126:599-610.
Hallen, K., Huss, M., Kettunen, P., El Manira, A. and Hellgren-Kotaleski, J. (2004) mGluR-Mediated calcium oscillations in the lamprey: a computational model. Neurocomputing 58-60:431-435.
Hanson, J. E., Smith, Y. and Jaeger, D. (2004) Sodium channels and dendritic spike initiation at excitatory synapses in globus pallidus neurons. J. Neurosci. 24:329-340.
Hasselmo, M .E., Barkai, E., Horwitz G. and Bergman, R. E .D. (1993) Modulation of neuronal adaptation and cortical associative memory function. In: Neurons and Neural Systems, F. Eeckman, Ed., Kluwer Academic Publishers, pp. 287-292.
Hasselmo, M.E. (1995) Neuromodulation and cortical function: modeling the physiological basis of behavior. Behav. Brain Res. 67: 1-27.
Hasselmo, M.E. (1995) Physiological constraints on models of behavior. In L. Niklasson, M.B. Boden (eds.) Current Trends in Connectionism. Lawrence Erlbaum Assoc.; Hillsdale, NJ, p. 15-32.
Hasselmo, M. E., Fransen, E., Dickson, C. and Alonso, A. A. (2000) Computational modeling of entorhinal cortex. Ann. NY Acad. Sci. 911: 418-446.
Hasselmo, M. E. and Kapur, A. (2000) Modeling of Large Networks. In: Computational Neuroscience: Realistic Modeling for Experimentalists, E. De Schutter (ed.) CRC Press, Boca Raton, Chapter 11, 289-315.
Hasselmo, M. E., Kapur, A. and Wyble, B. P. (2001) Theta rhythm oscillations and sequence coding in the hippocampus. Neurocomputing 38-40:633-640.
Hayer, A. and Bhalla, U. S. (2005) Molecular switches at the synapse emerge from receptor and kinase traffic. PLoS Comput Biol. 1:137-154.
Hereld, M. Stevens, R. L., Teller, J. and van Drongelen, W. (2005) Large Neural Simulations on Large Parallel Computers. Int. J. Bioelectromag. 7:44-46.
Hereld, M. Stevens, R. L., Lee, H. C. and van Drongelen, W. (2007) Framework for Interactive Million-Neuron Simulation. J. Clinical Neurophysiol. 24(:189-196.
Hill, A. A. V., Edwards, D. H. and Murphey, R. K. (1994) The effect of neuronal growth on synaptic integration. J. Comp. Neurosci. 1:239-254.
Hill, A. A. V., Masino, M. A., Olsen, O. H. and Calabrese, R. L. (2001) A model of a segmental oscillator in the leech heartbeat neuronal network. J. Comput. Neurosci. 10: 281-302.
Hill, A. A., Masino, M. A. and Calabrese, R. L. (2002) Model of intersegmental coordination in the leech heartbeat neuronal network. J. Neurophysiol. 87: 1586-1602.
Hill, A. A. V., Van Hooser, S. and Calabrese, R. L. (2002) Half-center oscillators underlying rhythmic movements. In: The Handbook of Brain Theory and Neural Networks, Second edition, (M.A. Arbib, Ed.), pp. 507-510. Cambridge, MA: MIT Press.
Hill, A. A., Masino, M. A. and Calabrese, R. L. (2003) Intersegmental coordination of rhythmic motor patterns. J. Neurophysiol. 90:531-538.
Hjorth, J., Elias, A. H. and Kotaleski, J. H. (2007) The significance of gap junction location in striatal fast spiking interneurons. Neurocomputing 70:1887-1891.
Holmes, W. R. and Aradi, I. (1998) Modeling the contributions of calcium channels and NMDA receptor channels to calcium current in dendritic spines. In: Computational Neuroscience: Trends in Research 1998 (J. M. Bower, Ed.), Plenum Publishing Co., NY pp. 191-195.
Howell F.W., Dyrhfjeld-Johnsen J., Maex R., Goddard N., and De Schutter E. (2000) A large scale model of the cerebellar cortex using PGENESIS. Neurocomuting 32: 1041-1046.
Huss, M., Hess, D., d'Incamps, B. L., El Manira, A., Lanser, A. and Kotaleski, J. (2003) Role of A-current in lamprey locomotor network neurons. Neurocomputing 52-54: 295-300.
Huss, M., Cangiano, L. and Hellgren-Kotaleski, J. (2006) Modelling self-sustained rhythmic activity in lamprey hemisegmental networks. Neurocomputing 69:1097-1102.
Huss, M., Lansner, A., Wallen, P., El Manira, A., Grillner, S. and Hellgren-Kotaleski, J. (2007) Roles of ionic currents in lamprey CPG neurons: a modeling study. J. Neurophysiol. 97:2696-2711.
Ibarz, J. M. and Herreras, O. (2003) A Study of the Action Potential Initiation Site Along the Axosomatodendritic Axis of Neurons Using Compartmental Models. Lecture Notes in Computer Science 2626:9-15.
Ibarz, J. M., Makarova, I., Cepeda, I. R. and Herreras, O. (2005) Rules and roles of dendritic spikes in CA1 pyramidal cells: a computational study. Lecture Notes in Computer Science 3561:143-149.
Ibarz, J. M., Makarova, I. and Herreras, O. (2006) Relation of apical dendritic spikes to output decision in CA1 pyramidal cells during synchronous activation: a computational study. Eur. J. Neurosci. 23:1219-1233.
Jackson, M.E. and Cauller, L.J. (1997) Evaluation of simplified computational models of reconstructed neocortical neurons. Brain Res. Bull. 44: 717.
Jackson, M. E. and Cauller, L.J. (1999) The function of reciprocal corticocortical connections: Computational modeling and electrophysiological studies. In: Oscillations in Neural Systems. D. S. Levine, V. R. Brown and T. Shirey. New York, Lawrence Erlbaum.
Jaeger, D. (2003) No parallel fiber volleys in the cerebellar cortex: Evidence from cross-correlation analysis between Purkinje cells in a computer model and in recordings from anesthetized rats. J. Comput. Neurosci. 14:311-327.
Jezzini, S. H., Hill, A. A., Kuzyk, P. and Calabrese, R. L. (2004) Detailed model of intersegmental coordination in the timing network of the leech heartbeat central pattern generator. J. Neurophys. 91:958-977.
Kali, S. and Freund, T. F. (2004) The contributions of different interneuron types to the activity patterns and plasticity of pyramidal cells in the hippocampus. Neurocomputing 58-60:669-674.
Kali, S. and Freund, T. F. (2005) Distinct properties of two major excitatory inputs to hippocampal pyramidal cells: a computational study. Eur. J. Neurosci. 22:2027-2048.
Kalluri, S. and Delgutte, B. (2003) Mathematical models of cochlear nucleus onset neurons: I. Point neuron with many weak synaptic inputs. J. Comput. Neurosci. 14:71-90.
Kalluri, S. and Delgutte, B. (2003) Mathematical models of cochlear nucleus onset neurons: II Model with dynamic spike-blocking state. J. Comput. Neurosci. 14:91-110.
Kim D.O. and D'Angelo, W.R. (2000). Computational model for the bushy cell of the cochlear nucleus. Neurocomputing 32-33: 189-196.
Kiss, T., Orban, G., Lengyel, M. and Erdi P. (2001) Intrahippocampal gamma and theta rhythm generation in a network model of inhibitory interneurons. Neurocomputing 38-40:713-719.
Kiss, T. and Erdi, P. (2006) From electric patterns to drugs: perspectives of computational neuroscience in drug design. BioSystems 86:46-52.
Kiss, T., Orban, G. and Erdi, P. (2006) Modelling hippocampal theta oscillation: applications in neuropharmacology and robot navigation. Int. J. Intelligent Systems 21:903-917.
Klopp, J. C., Johnston, P., Nenov, V. I., Goddard, N., Hood, G. and Halgren, E. (1998) Large scale simulations of hippocampal-neocortical interactions in a parallel version of GENESIS. In: Computational Neuroscience: Trends in Research 1998 (J. M. Bower, Ed.), Plenum Publishing Co., NY pp. 59-64.
Kotaleski, J. H., Plenz, D. and Blackwell, K. T. (2006) Using potassium currents to solve signal-to-noise problems in inhibitory feedforward networks of the striatum. J. Neurophysiol. 95: 331-341.
Kotter, R. (1999) Motor fluctuations in Parkinson's disease: A postsynaptic mechanism derived from a striatal model. Prog. Brain Res. 121: 283-294.
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Kotter, R. and Feizelmeier, M. (1998) Species-dependence and relationship of morphological and electrophysiological properties in nigral compacta neurons. Prog. Neurobiol. 54: 619-632.
Kotter, R., Nielsen, P., Dyhrfjeld-Johnsen, J., Sommer, F.T. and Northoff, G. (2002) Multi-level modeling of quantitative neuroanatomical data. In: Ascoli, G. (ed.), Computational Neuroanatomy: Principles and Methods. Humana Press, Totowa NJ.
Kotter, R. and Schirok, D. (1999) Towards an integration of biochemical and biophysical models of neuronal information processing: a case study in the nigro-striatal system. Rev. Neurosci. 247-266.
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Kotter, R., Schubert, D., Dyhrfjeld-Johnsen, J., Luhmann, H.J. and Staiger, J. (2005) Optical release of caged glutamate for stimulation of neurons in the in vitro slice preparation. J. Biomed. Optics 10:11003.
Kozlov, A. K., Lansner, A., Grillner, S. and Kotaleski, J. H. (2007) A hemicord locomotor network of excitatory interneurons: a simulation study. Biol. Cybern. 96:229-43.
Krichmar, J., Nasuto, S., Scorcioni, R., Washington, S. and Ascoli, G. (2002) Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study. Brain Res. 941:11-28.
Krichmar, J. L., Velasquez, D. and Ascoli, G. A. (2006). Effects of Beta-Catenin On Dendritic Morphology and Simulated Firing Patterns in Cultured Hippocampal Neurons. Biol. Bull., 211:31-43.
Kuriscak, E., Zbornik, M. and Rehak, J. (2005) Time precision of hippocampal CA3 neurons. Prague Medical Report. 106:409-420.
Kuroda, S., Schweighofer, N. and Kawato, M. (2001) Exploration of signal transduction pathways in cerebellar long-term depression by kinetic simulation. J. Neurosci. 21:5693-702.
Larsen-Prior, L.J. and Lu, H. (1999) Serotonergic modulation of the cerebellar granule cell network. Neurocomputing 26-27: 419-426.
Lee, H. C., Hereld, M., Stevens, R. L. and van Drongelen, W. (2005) Epileptic Activity Patterns in Coupled Neuronal Networks. Int. J. Bioelectromag. 7:42-43.
Lengyel, M., Kepecs, A. and Erdi, P. (1999) Location-dependent differences between somatic and dendritic IPSPs. Neurocomputing 26-27: 193-197.
Levy, K.L., and Kipke, D.R. (1995) The importance of membrane properties and synaptic location in octopus cells of the mammalian cochlear nucleus. In: The Neurobiology of Computation, (J. M. Bower, Ed.), Kluwer Academic Press, Boston, MA, pp. 93-99.
Levy, K.L. and Kipke, D.R. (1996) A biologically plausible model of neurons in the cochlear nucleus that computes accurate spike times for complex stimuli in real time. In: J. M. Bower (Ed.), Computational Neuroscience: Trends in Research 1995 Academic Press, NY, 101-106.
Li, W. C., Soffe, S. R., Wolf, E. and Roberts, A. (2006) Persistent Responses to Brief Stimuli: Feedback Excitation Among Brainstem Neurons. J. Neurosci. 26:4026-4035.
Liley, D.T., Alexander, D.M., Wright J.J. and Aldous M.D. (1999) Alpha rhythm emerges from large-scale networks of realistically coupled multicompartmental model cortical neurons. Network 10: 79-92.
Linne M.-L. and Jalonen T.O. (2000) Mathematical model of a small neuron. In: Gabbouj. M. and Kuosmanen, P. (eds.), Proceedings of X European Signal Processing Conference, Signal Processing X Theories and Applications, Tampere, Finland, Sept 4-8, vol. I, pp. 63-66.
Linne, M.-L., Kuosmanen, P. and Jalonen, T. O. (2000) Single BKCa channels and modeling of the cerebellar granule cell excitability. In: Weckstrom, M. (ed.), Neuroscience Finland 1999, Oulu, Finland, March 18-19, Invited lectures and abstracts of short communications, Acta Universitatis Ouluensis, Series D, Medica 584:54-55.
Linne, M-J. and Jalonen, T. O. (2003) Simulations of the cultured granule neuron excitability. Neurocomputing, 52-54: 583-590.
Linne, M.-L., Manninen, T. and Jalonen, T. O. (2004) A Model integrating the cerebellar granule neuron excitability and calcium signaling pathways. Neurocomputing 58-60:569-574.
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