Abstract
This chapter surveys web resources regarding computer models and analysis tools for neural microcircuits. In particular it describes the features of a new website (www.lsm.tugraz.at) that facilitates the creation of computer models for cortical neural microcircuits of various sizes and levels of detail, as well as tools for evaluating the computational power of these models in a Matlab-environment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abbott, L. F., and Nelson, S. B. (2000) Synaptic plasticity: taming the beast. Nature Neurosci. 3, 1178–1183.
Auer, P., Burgsteiner, H., and Maass, W. (2002) Reducing communication for distributed learning in neural networks. Proc. ICANN’2002. Online available as # 127 onhttp://www.igi.tugraz.at/maass/publications.html.
Braitenberg, V., and Schuez, A. (1998) Cortex: Statistics and Geometry of Neuronal Connectivity, 2nd ed., Springer Verlag, Berlin.
Douglas, R., and Martin, K. (1998) Neocortex. In: The Synaptic Organization of the Brain. G. M. Shepherd, Ed., Oxford University Press, 459–509.
Duda, R. O., Hart, P. E., and Stork, D. G. (2001) Pattern Classification, 2nd ed., John Wiley & Sons, New York.
Gupta, A., Wang, Y., and Markram, H. (2000) Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex. Science 287, 273–278.
Gupta, A., Silberber, G., Toledo-Rodriguez, M, Wu, C. Z., Wang, Y., and Markram, H. (2002, in press) Organizing principles of neocortical microcircuits. Cellular and Molecular Life Sciences.
Hertz, J., Krogh, A., and Palmer, R. G. (1991) Introduction to the Theory of Neural Computation. Addison-Wesley, Redwood City, Ca.
Hopfield, J. J., and Brody, C. D. (2001) What is a moment? Transient synchrony as a collective mechanism for spatio-temporal integration. Proc. Natl. Acad. Sci., USA, 89(3), 1282.
Legenstein, R. A., Maass, W., and Markram, H. (2002) Input prediction and autonomous movement analysis in recurrent circuits of spiking neurons, submitted for publication. Online available as # 140 on http://www.igi.tugraz.at/maass/publications.html
Maass, W., Natschläger, T., and Markram, H. (2002, in press) Real-time computing without stable states: A new framework for neural computation based on perturbations. Neural Computation. Online available as # 130 on http://www.igi.tugraz.at/maass/publications.html
Markram, H., Lubke, J., Frotscher, M., and Sakmann, B. (1997) Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science 275, 213–215.
Markram, H., Wang, Y., and Tsodyks, M. (1998) Differential signaling via the same axon of neocortical pyramidal neurons. Proc. Natl Acad. Sci., 95, 5323–5328.
Markram, H., Ofer, M., Natschlager, T., Maass, W. (2002, in press) Temporal integration in neocortical microcircuits. Cerebral Cortex.
Shepherd, G. M. (1988) A basic circuit for cortical organization. In: Perspectives in Memory Research, M. Gazzaniga, Ed., MIT-Press, 93–134.
Song, S., Miller, K., and Abbott, L. F. (2000) Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature Neurosci. 3, 919–926.
Svahn, E. (2001) Parallel Matlab Toolbox: User Documentation. Masters Thesis, Chalmers University of Technology, Sweden. To get a copy of the toolbox contact E. Svahn (email: ersva@igb.polymtl.ca, d96svahn@dtek.chalmers.se) or get it via ftp://ftp-at.e-technik.unirostock.de/pub/pm/
Thomson, A., West, D. C., Wang, Y., and Bannister, A. P. (2002, in press) Synaptic connections and small circuits involving excitatory and inhibitory neurons in layers 2 to 5 of adult rat and cat neocortex: triple intracellular recordings and biocytin-labelling in vitro. Cerebral Cortex.
Tsodyks, M., Pawelzik, K., and Markram, H. (1998) Neural networks with dynamic synapses. Neural Computation 10, 821–835.
Vapnik, V. N. (1998) Statistical Learning Theory. John Wiley, New York.
Zador, A. (2000) The basic unit of computation. Nature Neurosci. 3, 1167.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer Science+Business Media New York
About this chapter
Cite this chapter
Natschläger, T., Markram, H., Maass, W. (2003). Computer Models and Analysis Tools for Neural Microcircuits. In: Kötter, R. (eds) Neuroscience Databases. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1079-6_9
Download citation
DOI: https://doi.org/10.1007/978-1-4615-1079-6_9
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5384-3
Online ISBN: 978-1-4615-1079-6
eBook Packages: Springer Book Archive