Mickey London: Publications

Publications

Teaching

Data

Projecs

Links

Code

Kids

Papers:


  1. London, M, Larkum, ME and Häusser, M (2008) Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model. Biological Cybernetics 99(4-5):393-401.
    [PDF 1.7 MB]
  2. Angelo, K., London, M., Christensen, S.R., Häusser, M., (2007). Local and global effects of Ih distribution in dendrites of mammalian neurons J. Neurosci. 27(32):8643–53
    [PDF with appendix]     [Neuron Code - soon]
  3. Clark, B. A., Monsivais, P., Branco, T., London, M. and Hausser, M., (2005). The site of action potential initiation in cerebellar Purkinje neurons. Nat Neurosci 8(2):137-9
    [PDF 1.8MB]     [Colour plot movie 23MB] [Space plot movie 9MB] [Neuron Code] [Suppl text]
  4. Dayan, P., Hausser, M., and London, M. (2003) Plasticity Kernels and Temporal Statistics. NIPS 2003.
    [PDF]
  5. London, M, Schreibman, A, Hausser, M, Larkum, ME and Segev, I (2002) The information efficacy of a synapse. Nat. Neurosci. 5(4):332-40.
    [PDF 1MB]     [Appendix 350K] [Entropy estimation code] [Historical Justice :-)]
  6. Steinmetz, PN, Manwani, A, Koch, C, London, M and Segev, I (2000) Subthreshold voltage noise due to channel fluctuations in active neuronal membranes. J Comput Neurosci 9(2):133-148.
    [PDF 160K]     [Implementing Stochastic ion channels in Neuron]
  7. London, M, Meunier, C, and Segev, I (1999) Signal transfer in passive dendrites with non-uniform membrane conductance. J. Neurosci. 19(19):8219
    [PDF 300K]     [Appendix 200K]
  8. Guedalia, ID, London, M, and Wermanm M. (1999) A method for on-line clustering of non-stationary data. Neural Computation 11:551-571
    [PDF 2MB]     [Matlab (4,5) Demo]

Editorial:

  1. London, M. and Segev, I. (2004) Conducting synaptic music in dendrites. Nat. Neurosci. 7, 904 - 905. (News & Views)
    [PDF 100K]
  2. Roth, A and London, M (2004) Rebuilding dendritic democracy. Focus on "equalization of synaptic efficacy by activity- and timing-dependent synaptic plasticity". J. Neurophysiol 91(5):1941-2
    [PDF 160K]
  3. London, M, and Segev, I (2001) Synaptic scaling in vitro and in vivo.. Nat. Neurosci. 4(9):853-5.
    [PDF 500K] [Simulation code]


Reviews:

  1. London, M, and Hausser, M., (2005). Dendritic Computation. Annu. Rev. Neurosci. 28:503-32
    [PDF 100K]
  2. Segev, I and London, M (2000) Untangling dendrites with quantitative models. Science 290(5492):744-50
    [PDF 750K]


Book chapters:

  1. Rabinowitch, I.,  London, M.  and Segev, I. (2008)  A theoretical view of the neuron as an input-output plastic device. in: Dendrites (2nd ed.) Stuart G., Spruston N., Hausser M. editors. Oxford University Press. pp. 205-226.
  2. Segev, I, and London, M (1999) A theoretical view of passive and active dendrites. in: Dendrites Stuart G., Spruston N., Hausser M. editors. Oxford University Press. pp. 205-226.
    [Dendrites @ Amazon]     [Dendrites @ OUP]
  3. Segev, I, and London, M (2002) Dendritic Processing. in: The Handbook of Brain Theory and Neural Networks (2nd Ed). Michael A. Arbib (Ed.) MIT Press [Book @ MIT Press]


PhD. Thesis:

  1. London, M. (2001) The effect of the synaptic input on computational processes in neurons. The Hebrew University of Jerusalem, Jerusalem, Israel.
    [PDF 4MB]     [PDF 2 sides]


Abstracts & Invited Presentations