COMPUTING SCIENCE
AND MATHEMATICS
SCHOOL OF NATURAL SCIENCES
University of Stirling Logo

[ Comp Science & Maths Home Page | My Home Page | Research | Teaching | Publications ]

General

Projects

Bruce Graham's Publications

[Books | Journal Papers | Edited Volumes | Conference papers | Conference abstracts]

Please email to request a reprint of any paper that is not electronically available.

Books  [top]

  1. David Sterratt, Bruce Graham, Andrew Gillies and David Willshaw. Principles of Computational Modelling in Neuroscience. CUP. ISBN: 9780521877954. July 2011. (Companion website for the book.)
  2. Cutsuridis, V., Graham, B.P., Cobb, S. and Vida, I. (Eds) Hippocampal Microcircuits: A Computational Modeler's Resource Book. Springer, NY. ISBN: 978-1-4419-0995-4. February 2010.

Journal Papers  [top]

  1. Michel C., Azevedo Coste C., Desmadryl G., Puel J-L., Bourien J. and Graham B. (2015) Identification and modelling of fast and slow current components in vestibular ganglion neurons. European Journal of Neuroscience 42(10):2867-2877.
  2. Saudargiene, A. and Graham, B.P. (2015) Inhibitory control of site-specific synaptic plasticity in a model CA1 pyramidal neuron. Biosystems 130:37–50; DOI:10.1016/j.biosystems.2015.03.001
  3. Saudargiene, A., Cobb, S. and Graham, B.P. (2015) A computational study on plasticity during theta cycles at Schaffer collateral synapses on CA1 pyramidal cells in the hippocampus. Hippocampus 25(2):208-218; DOI: 10.1002/hipo.22365 (Prepublication PDF)
  4. Graham, B.P., Saudargiene, A. and Cobb, S. (2014) Spine head calcium as a measure of summed postsynaptic activity for driving synaptic plasticity. Neural Computation, 26(10):2194-2222. (Prepublication PDF | model code)
  5. Graham, B.P. and Spera, E. (2014) On phasic inhibition during hippocampal theta. Network: Computational in Neural Systems 25(1-2):3-19. (PDF)
  6. Crook, S.M. et al. (2012) Creating, documenting and sharing network models. Network: Computational in Neural Systems 23(4):131-149. (PDF)
  7. Cutsuridis, V., Cobb, S. and Graham B.P. (2010). Encoding and retrieval in a model of the hippocampal CA1 microcircuit. Hippocampus, 20:423-446. DOI 10.1002/hipo.20661 (PDF | model code)
  8. Cutsuridis, V., Wennekers, T., Graham, B.P., Vida, I. and Taylor, J.G. (2009) Microcircuits - Their structure, dynamics and role for brain function. Neural Networks 22(8)1037-1038.
  9. Cutsuridis, V., Cobb, S. and Graham B.P. (2009). Modeling the STDP symmetry-to-asymmetry transition in the presence of gabaergic inhibition. Neural Network World, 19:471-481.
  10. Hunter R., Cobb, S. and Graham B.P. (2009). Improving associative memory in a network of spiking neurons. Neural Network World, 19:447-470.
  11. Yang, Z., Hennig, M., Postlethwaite, M., Forsythe, I.D. and Graham, B.P. (2009). Wide-band information transmission at the calyx of Held. Neural Computation, 21:991-1017. (PDF | model code)
  12. Steinert, J.R., Kopp-Scheinpflug, C., Baker, C., Challiss, R.A.J., Mistry, R., Haustein, M.D., Griffin, S.J., Tong, H., Graham, B.P. and Forsythe, I.D. (2008) Nitric oxide is a volume transmitter regulating postsynaptic excitability at a glutamatergic synapse. Neuron, 60:642-656. (PDF)
  13. Hennig, M., Postlethwaite, M., Forsythe, I.D. and Graham, B.P. (2008). Interactions between multiple sources of short-term plasticity during evoked and spontaneous activity at the rat calyx of Held. Journal of Physiology, 586(13):3129-3146. (PDF)
  14. Hospedales, T.M., van Rossum, M.C.W., Graham, B.P. and Dutia, M.B. (2008). Implications for noise and neural heterogeneity for vestibulo-ocular reflex fidelity. Neural Computation, 20:756-778. (reprint)
  15. Hennig, M., Postlethwaite, M., Forsythe, I.D. and Graham, B.P. (2007). A biophysical model of short-term plasticity at the calyx of Held. Neurocomputing, 70:1626-1629. (reprint)
  16. M. Postlethwaite, M.H. Hennig, J.R. Steinert, B.P. Graham and I.D. Forsythe (2007). Acceleration of AMPA receptor kinetics underlies temperature- dependent changes in synaptic strength at the rat calyx of Held. Journal of Physiology, 579:69-84.
  17. Graham, B. and van Ooyen, A. (2006). Mathematical modelling and numerical simulation of the morphological development of neurons. BMC Neuroscience, 7 (Suppl 1): S9.
  18. Graham, B.P., Lauchlan, K., and McLean, D.R. (2006). Dynamics of outgrowth in a continuum model of neurite elongation. J. Comput. Neurosci., 20:43-60.
  19. McLean, D.R. and Graham, B.P. (2006). Stability in a mathematical model of neurite elongation. Mathematical Medicine and Biology, 23:101-117.
  20. Billups, B., Graham, B., Wong, A., and Forsythe, I. (2005). Unmasking group III metabotropic glutamate autoreceptor function at excitatory synapses in the rat CNS. Journal of Physiology, 565.3:885-896.
  21. McLean, D., Lauchlan, K., and Graham, B. (2005). On the existence of steady solutions in a moving boundary model of neurite morphogenesis with cellular autoregulation. WSEAS Transactions on Biology and Biomedicine, 1:98-105.
  22. Graham B.P. and van Ooyen, A. (2004). Transport limited effects in a model of dendritic branching. J. Theor. Biol., 230:421-432.
  23. Graham, B.P., Wong, A.Y.C. and Forsythe, I.D. (2004). A multi-component model of depression at the calyx of Held. Neurocomputing, 58-60:449-454.
  24. McLean, D.R. and Graham, B.P. (2004). Mathematical formulation and analysis of a continuum model for tubulin-driven neurite elongation. Proc. R. Soc. Lond. A, 460:2437-2456.
  25. McLean, D.R., van Ooyen, A. and Graham, B.P. (2004). Continuum model for tubulin-driven neurite elongation. Neurocomputing, 58-60:511-516.
  26. Wong, A.Y.C., Graham, B.P., Billups, B. and Forsythe, I.D. (2003). Distinguishing between presynaptic and postsynaptic mechanisms of short term depression during action potential trains. Journal of Neuroscience, 23:4868-4877.
  27. Graham, B. (2001). Pattern recognition in a compartmental model of a CA1 pyramidal neuron. Network, 12:473-492. (stacks.iop.org/Network/12/473)
  28. Graham, B. and Dutia, M. (2001). Cellular basis of vestibular compensation: analysis and modelling of the role of the commissural inhibitory system. Exp. Brain Res., 137:387-396.
  29. Graham, B. and van Ooyen, A. (2001). Compartmental models of growing neurites. Neurocomputing, 38-40:31-36.
  30. Graham, B., Wong, A., and Forsythe, I. (2001). A computational model of synaptic transmission at the calyx of Held. Neurocomputing, 38-40:37-42.
  31. Hely, T., Graham, B., and van Ooyen, A. (2001). A computational model of dendrite elongation and branching based on MAP2 phosphorylation. J. Theor. Biol., 210:375-384.
  32. van Ooyen, A., Graham, B., and Ramakers, G. (2001). Competition for tubulin between growing neurites during development. Neurocomputing, 38-40:73-78.
  33. Graham, B. and Willshaw, D. (1999). Probabilistic synaptic transmission in the associative net. Neural Comp., 11:117-137.
  34. Graham, B. and Willshaw, D. (1997). Capacity and information efficiency of the associative net. Network, 8:35-54.
  35. Graham, B. and Willshaw, D. (1995). Improving recall from an associative memory. Biol. Cybern., 72:337-346.
  36. Walmsley, B., Graham, B., and Nicol, M. (1995). A serial E-M and simulation study of presynaptic inhibition along a group ia collateral in the spinal cord. J. Neurophys., 74:616-623.
  37. Graham, B. and Redman, S. (1994). A simulation of action potentials in synaptic boutons during presynaptic inhibition. J. Neurophys., 71:538-549.
  38. Graham, B. and Redman, S. (1993). Dynamic behaviour of a model of the muscle stretch reflex. Neural Networks, 6:947-962.
  39. Graham, B. and Newell, R. (1989). Fuzzy adaptive control of a first order process. Fuzzy Sets and Systems, 31:47-65.
  40. Graham, B. and Newell, R. (1988). Fuzzy identification and control of a liquid level rig. Fuzzy Sets and Systems, 26:255-273.
  41. Graham, B., Lee, P., and Newell, R. (1985). Simulation of multivariable control of a cement kiln. Chem. Eng. Research & Design, 63:363-367.
  42. Graham, B. and Jutan, A. (1985). Teaching time series to chemical engineers. Chemical Engineering Education, XIX(4):186-194.

Edited Volumes  [top]

  1. Graham, B.P., Cutsuridis, V. and Hunter, R. (2010) Associative memory models of hippocampal areas CA1 and CA3. In Cutsuridis, V., Graham, B.P., Cobb, S. and Vida, I. (Eds) Hippocampal Microcircuits: A Computational Modeler's Resource Book. Springer, NY. ISBN: 978-1-4419-0995-4. February 2010.
  2. Cutsuridis, V., Wennekers, T., Graham, B.P., Vida, I. and Taylor, J.G. (Eds) Cortical Microcircuits. Special Issue of Neural Networks, Volume 22, Issue 8, October 2009.
  3. Graham, B.P. and Cutsuridis, V. (2009) Dynamical Information Processing in the CA1 Microcircuit of the Hippocampus. In: Computational Modelling in behavioural neuroscience: Closing the gap between neurophysiology and behavior. London: Psychology Press, Taylor and Francis Group. (preprint)
  4. Kiddie, G., McLean, D., van Ooyen, A. and Graham, B. (2005). Biologically plausible models of neurite outgrowth. In van Pelt, J., Kamermans, M., Levelt, C., van Ooyen, A., Ramakers, G., and Roelfsema, P., editors, Development, dynamics and pathology of neuronal networks: from molecules to functional circuits, Progress in Brain Research, 147, pages 67-80. Elsevier.
  5. Graham, B.P. (2004). Dynamics of storage and recall in hippocampal associative memory networks. In Erdi, P., Esposito, A., Marinaro, M., and Scarpetta, S., editors, Computational Neuroscience: Cortical Dynamics, Lecture Notes in Computer Science, 3146, pages 1-23. Springer. (preprint)
  6. van Pelt, J., Graham, B., and Uylings, H. (2003). Formation of dendritic branching patterns. In van Ooyen, A., editor, Modeling Neuronal Development, chapter 4, MIT Press, Cambridge, MA.
  7. Graham, B. (1993). Adaptive fuzzy control. In Driankov, D., Hellendoorn, H., and Reinfrank, M., editors, An Introduction to Fuzzy Control, chapter 5, pages 197-244. Springer-Verlag, Berlin.

Conference Papers  [top]

  1. CB Michel, BP Graham (2015) Activity-Dependent Regulation Decreases Metabolic Cost in the Auditory Brainstem. 7th International IEEE EMBS Conference on Neural Engineering (NER), Montpellier, France, April 2015. Book Series: International IEEE EMBS Conference on Neural Engineering. Pages: 312-315. Published: 2015. INSPEC Accession Number: 15287134. DOI: 10.1109/NER.2015.7146622
  2. Li Guo, Zhijun Yang and Bruce Graham (2012) Characterisation of Information Flow in an Izhikevich Network. Proceedings of 19th International Conference on Neural Information Processing (ICONIP2012), Doha, Qatar, November 12-15, 2012. ICONIP, Part I, LNCS 7663, Springer, p.392.
  3. Cutsuridis, V., Graham, B.P, Cobb, S and Hasselmo, M.E. (2011) Bio-inspired models of memory capacity, recall performance and theta phase precession in the hippocampus The International Joint Conference on Neural Networks (IJCNN), San Jose, USA. DOI:10.1109/IJCNN.2011.6033637
  4. Graham, B.P. (2011) Synaptic dynamics influence the phase of a neural response. The Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2011, Adelaide, Australia, 6-8th December 2011.
  5. Graham, B.P., Saudargiene, A. and Cobb, S. (2011) Associational learning in cortical pyramidal cells. UK Workshop on Computational Intelligence, Manchester, September 2011.
  6. Cutsuridis, V., Cobb, S. and Graham, B.P. (2009). How Bursts Shape the STDP Curve in the Presence/Absence of GABAergic Inhibition. Artificial Neural Networks - ICANN 2009, LNCS Vol.5768, Springer, Berlin / Heidelberg, pp229-238.
  7. Cutsuridis, V., Cobb, S. and Graham, B.P. (2008). Encoding and Retrieval in a CA1 Microcircuit Model of the Hippocampus . Artificial Neural Networks - ICANN 2008, LNCS Vol.5164, Springer, Berlin / Heidelberg, pp238-247.
  8. Cutsuridis, V., Cobb, S. and Graham, B.P. (2008). A CA2+ Dynamics Model of the STDP Symmetry-to-Asymmetry Transition in the CA1 Pyramidal Cell of the Hippocampus. Artificial Neural Networks - ICANN 2008, LNCS Vol.5164, Springer, Berlin / Heidelberg, pp627-635.
  9. Graham, B.P. and Stricker, C. (2008). Short Term Plasticity Provides Temporal Filtering at Chemical Synapses. Artificial Neural Networks - ICANN 2008, LNCS Vol.5164, Springer, Berlin / Heidelberg, pp268-276.
  10. Hunter, R., Cobb, S. and Graham, B.P. (2008). Improving Recall in an Associative Neural Network of Spiking Neurons. Dynamic Brain - from Neural Spikes to Behaviors, LNCS Vol.5286, Springer, Berlin / Heidelberg, pp137-141.
  11. Hunter, R., Cobb, S. and Graham, B.P. (2008). Improving Associative Memory in a Network of Spiking Neurons. Artificial Neural Networks - ICANN 2008, LNCS Vol.5164, Springer, Berlin / Heidelberg, pp636-645.
  12. Kiddie, G.A., van Ooyen, A. and Graham, B.P. (2004) Biologically plausible model of growing neurites. Brain Inspired Cognitive Systems (BICS), Stirling, U.K.
  13. Graham, B.P. (2002). Multiple forms of activity-dependent plasticity enhance information transfer at a dynamic synapse. Artificial Neural Networks - ICANN 2002, Ed. Dorronsoro, J.R., LNCS Vol.2415, Springer-Verlag pp45-50.
  14. Graham, B. (1999). The effects of intrinsic noise on pattern recognition in a model pyramidal cell. In ICANN99: Artificial Neural Networks, volume 2 of Conference Publication No. 470, pages 1006-1011. IEE.
  15. Graham, B. and Willshaw, D. (1997a). An associative memory model with probabilistic synaptic transmission. In Bower, J., editor, Computational Neuroscience: Trends in Research, 1997, pages 315-319, New York. Plenum Press.
  16. Graham, B. and Willshaw, D. (1997b). A model of clipped Hebbian learning in a neocortical pyramidal cell. In Gerstner, W., Germond, A., Hasler, M., and Nicoud, J.-D., editors, Artificial Neural Networks - ICANN '97, volume 1327 of Lecture Notes in Computer Science, pages 151-156, Berlin. Springer.
  17. Graham, B. and Willshaw, D. (1996). Information efficiency of the associative net at arbitrary coding rates. In von der Malsburg, C., von Seelen, W., Vorbruggen, J., and Sendhoff, B., editors, Artificial Neural Networks - ICANN 96, volume 1112 of Lecture Notes in Computer Science, pages 35-40, Berlin. Springer.
  18. Graham, B. (1996). Computer simulation of mechanisms for unblocking axons. In Bower, J., editor, Computational Neuroscience, pages 77-82. Academic Press.
  19. Graham, B. and Willshaw, D. (1995). Capacity and information efficiency of a brain-like associative net. In Tesauro, G., Touretzky, D., and Leen, T., editors, Neural Information Processing Systems 7, pages 513-520. MIT Press.
  20. Budinich, M., Graham, B., and Willshaw, D. (1995). Multiple cueing of an associative net. Int. J. of Neural Systems, Supplementary issue:171.

Conference Abstracts  [top]

  1. CB Michel, SJ Lucas, MH Hennig, ID Forsythe, BP Graham (2016) An evaluation of short-term plasticity parameters at the calyx of Held during high and low presynaptic ATP concentrations. FENS Forum, Copenhagen, July 2016. (poster)
  2. SJ Lucas, CB Michel, Y Sweeney, MH Hennig, BP Graham & ID Forsythe (2015). ATP depletion suppresses action potential firing independently of synaptic transmission. Program No. XXX.XX. 2015 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2015. Online.(poster)
  3. CB Michel, SJ Lucas, ID Forsythe, BP Graham (2015) Computational modelling predicts activity-dependent neuronal regulation by nitric oxide increases metabolic pathway activity. Computational Neuroscience Conference (CNS*2015). Prague, Czech Republic, July 2014. BMC Neuroscience 2015, 16(Suppl 1):P84 (poster)
  4. CB Michel, MH Hennig, BP Graham (2014) Nitric oxide activity-dependent regulator compensates synaptic depression and enhances metabolic efficiency in the auditory brainstem. Computational Neuroscience Conference (CNS*2014). Quebec City, Canada, July 2014. BMC Neuroscience 2014, 15(Suppl 1):P154 (poster)
  5. J. McGuinness and B.P. Graham (2013) Functional role and implications of population heterogeneity on vestibular ocular reflex response fidelity. Computational Neuroscience Conference (CNS*2013). Paris, France, July 2013. BMC Neuroscience 14(Suppl 1):P147
  6. B.P. Graham (2013) Synaptic learning beyond STDP. NeuroEng 2013: Australian Workshop on Computational Neuroscience. Melbourne, Australia, January 2013.
  7. B.P. Graham, A. Saudargiene and S. Cobb. (2012) A computational study of the influence of synaptic cooperativity on synaptic plasticity in a hippocampal CA1 pyramidal cell. Computational Neuroscience Conference (CNS*2012). Atlanta, USA, July 2012. BMC Neuroscience 2012, 13(Suppl 1):P164 (16 July 2012)
  8. B.P. Graham. (2011) Interaction between synaptic dynamics and synaptic configuration determines the phase of the response to rhythmic inputs. Computational Neuroscience Conference (CNS*2011). Stockholm, Sweden, July 2011. BMC Neuroscience 12(Suppl 1):P128
  9. J. McGuinness and B.P. Graham (2011) The role and function of noise and neural heterogeneity in the integrated population response of the vestibulo-ocular reflex. Computational Neuroscience Conference (CNS*2011). Stockholm, Sweden, July 2011. BMC Neuroscience 12(Suppl 1):P127
  10. G. Slivko, B.P. Graham and A. Saudargiene (2011) Computational model of spike-timing-dependent synaptic plasticity and implications for site-specific learning in a CA1 pyramidal neuron. International Translational Neuroscience Conference, Kaunas, Lithuania, June 2011.
  11. A. Saudargiene, G. Slivko and B.P. Graham (2011) Interaction of inhibition and synaptic plasticity in a model of the hippocampal CA1 microcircuit. Computational Neuroscience Conference (CNS*2011). Stockholm, Sweden, July 2011. BMC Neuroscience 12(Suppl 1):P126.
  12. A. Saudargiene, G. Slivko and B.P. Graham (2011) Molecular mechanisms of STDP define the properties of learning in a model of the hippocampal CA1 microcircuit. Neuroinformatics, Boston, USA, September 2011.
  13. Cutsuridis, V., Cobb, S. and Graham, B.P. (2009). Modeling the effects of GABA-A inhibition on the spike timing-dependent plasticity of a CA1 pyramidal cell. Computational Neuroscience Conference (CNS*2009). Berlin, Germany. BMC Neuroscience 10(Suppl 1):P191.
  14. Graham, B.P., Menzies, J.R.W. and Dutia, M.B. (2009). Model of hyperpolarization dependent LTD in MVN neurons. Computational Neuroscience Conference (CNS*2009). Berlin, Germany. BMC Neuroscience 10(Suppl 1):P205.
  15. Hunter, R., Cobb, S. and Graham, B.P. (2009). Improving pattern retrieval in an auto-associative neural network of spiking neurons. Computational Neuroscience Conference (CNS*2009). Berlin, Germany. BMC Neuroscience 10(Suppl 1):P173.
  16. Cutsuridis, V., Hunter, R., Cobb, S. and Graham, B.P. (2007). Storage and Recall in the CA1 Microcircuit of the Hippocampus: A Biophysical Model. Computational Neuroscience Conference (CNS*2007). Toronto, Canada. BMC Neuroscience 8(Suppl 2):P33.
  17. Yang, Z., Hennig, M.H., Postlethwaite, M., Forsythe, I.D. and Graham, B.P. (2007). Analysis of the factors influencing information transmission at the calyx of Held. Computational Neuroscience Conference (CNS*2007). Toronto, Canada. BMC Neuroscience 8(Suppl 2):P160.
  18. Clark, J. and Graham, B.P. (2006). Investigation of the spatial and temporal control mechanisms influencing signal integration in a model of a CA1 pyramidal cell. Computational Neuroscience Conference (CNS*2006). Edinburgh, U.K.
  19. Hennig, M.H., Postlethwaite, M., Forsythe, I.D. and Graham, B.P. (2006). A biophysical model of short-term plasticity at the calyx of Held. Computational Neuroscience Conference (CNS*2006). Edinburgh, U.K.
  20. Postlethwaite, M., Henning, M.H., Graham, B. and Forsythe, I.D. (2006). Temperature-dependent changes in spontaneous and evoked transmission at the rate Calyx of Held. FENS, Vienna, Austria.
  21. Clark, J. and Graham, B.P. (2005). A dynamic model of hippocampal memory storage and retrieval. Meeting of the British Neuroscience Association. Brighton, U.K.
  22. Graham, B., Hennig, M., Billups, B., Wong, A., and Forsythe, I. (2005). Models of synaptic transmission at the calyx of held. WiR Workshop on Data-driven Modelling and Computation in Neuroscience. Hohenwart Forum, Germany.
  23. Hennig, M.H., Postlethwaite, M, Forsythe, I.D. and Graham, B.P. (2005). Modeling of short-term plasticity at the calyx of Held. Meeting of the American Society for Neuroscience. Washington, USA.
  24. Kiddie, G., van Ooyen, A., and Graham, B. (2005b). A biophysically-based compartmental model of dendritic outgrowth and branching. WiR Workshop on Data-driven Modelling and Computation in Neuroscience. Hohenwart Forum, Germany.
  25. Kiddie, G., van Ooyen, A., and Graham, B. (2005c). Modelling the variation in dendritic outgrowth between different neuronal types. Computational Neuroscience Conference (CNS*2005). Madison, Wisconson, USA.
  26. McLean, D. and Graham, B. (2005). Stability of a moving boundary problem of neurite elongation. European Conference on Mathematical and Theoretical Biology. Dresden, Germany.
  27. Forsythe, I.D., Wong, A.Y.C., Graham, B.P. and Billups, B. (2004). Activity-dependent modulation at an auditory relay synapse. FENS, Lisbon, Portugal.
  28. Graham, B.P., Wong, A.Y.C., Billups, B. and Forsythe, I.D. (2004). Modelling the effects of competitive glutamate antagonists on AMPA receptor desensitisation and EPSC amplitude. FENS, Lisbon, Portugal. (abstract; poster)
  29. Kiddie, G.A., van Ooyen, A. and Graham, B.P. (2004). A mathematical model of MAP2 dependent elongation and branching in growing dendrites. FENS, Lisbon, Portugal. (abstract; poster)
  30. McLean, D. and Graham, B. (2004). Dynamics and stability in a moving boundary PDE model for neurite elongation. First Canada-France Metting of Mathematical Sciences. Toulouse, France.
  31. Wong, A., Graham, B., and Forsythe, I. (2001a). Contribution of receptor desensitization to synaptic depression at a glutamatergic synapse. In Meeting of the American Society for Neuroscience, San Diego.
  32. Wong, A., Graham, B., and Forsythe, I. (2001b). Synaptic depression at the calyx of held: vesicle depletion versus receptor desensitisation? In Meeting of the Physiological Society, Bristol.
  33. Graham, B., Hely, T., and van Ooyen, A. (1999). Towards a biologically realistic model of neurite outgrowth and branching. In Theory and Mathematics in Biology and Medicine, Amsterdam.
  34. Graham, B., Hely, T., and van Ooyen, A. (1998). An internal signalling model of the dendritic branching process. Euro. J. Neurosci., 10(Supplement 10):274.
  35. Graham, B., Nicol, M., and Walmsley, B. (1996). Computer simulation of action potential propagation along a Ia afferent collateral. In Proc. Aust. Neuroscience Soc., volume 7, page 211.
  36. Graham, B. (1995). Computer simulation of band-pass filtering in an inhomogeneous axon. In Brain Research Association Abstracts, volume 12, page 68.
  37. Graham, B. and Walmsley, B. (1994). Computer simulations reveal the sensitivity to channel densities of an action potential propagating along a branching axon. In Brain Research Association Abstracts, volume 11, page 63.

[ Comp Science & Maths Home Page | My Home Page | Research | Teaching | Publications ]

Last modified: July 31st 2007