Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.5555/1939659.1939666guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Complex spiking models: a role for diffuse thalamic projections in complex cortical activity

Published: 22 November 2010 Publication History

Abstract

Cortical activity exhibits complex, persistent self-sustained dynamics, which is hypothesised to support the brain's sophisticated processing capabilities. Prior studies have shown how complex activity can be sustained for some time in spiking neural network models, but network activity in these models resembled high firing rate seizure which would eventually fail, leading to indefinite quiescence. We present a spiking network model of cortex innervated by diffuse thalamic projections, called the Complex Spiking Model (CSM). The model exhibits persistent, self-sustained, non-periodic, complex dynamics at low firing rates. Multiple network configurations were tested, systematically varying diffuse excitation from the thalamus, strength of the local cortical inhibition and excitation, neighbourhood diameters, synaptic efficacies and synaptic current time constants. Complex activity in all the network configurations depended strongly upon the strength of the diffuse excitation from the thalamus. We propose that diffuse thalamic projections to cortex facilitate complex cortical dynamics and are likely to be an important factor in the support of cognitive functions.

References

[1]
Breakspear, M., Terry, J.R., Friston, K.J.: Modulation of excitatory synaptic coupling facilitates synchronization and complex dynamics in a nonlinear model of neuronal dynamics. Network 52, 151-158 (2003)
[2]
Honey, C.J., Kötter, R., Breakspear, M., Sporns, O.: Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proceedings of the National Academy of Sciences 104, 10240-10245 (2007)
[3]
Kitzbichler, M.G., Smith, M.L., Christensen, S.R., Bullmore, E.: Broadband criticality of human brain network synchronization. PLoS Computational Biology 5 (2009)
[4]
Shanahan, M.: Dynamical complexity in small-world networks of spiking neurons. Physical Review E 78, 41924 (2008)
[5]
Sporns, O., Tononi, G., Edelman, G.M.: Connectivity and complexity: the relationship between neuroanatomy and brain dynamics. Neural Networks 13, 909-922 (2000)
[6]
Varela, F., Lachaux, J.P., Rodriguez, E., Martinerie, J.: The brainweb: phase synchronization and large-scale integration. Nature Reviews Neuroscience 2, 229-239 (2001)
[7]
Fries, P.: A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Trends in Cognitive Sciences 9, 474-480 (2005)
[8]
Buzsaki, G., Draguhn, A.: Neuronal oscillations in cortical networks. Science 304, 1926- 1929 (2004)
[9]
Mazoyer, B., Zago, L., Mellet, E., Bricogne, S., Etard, O., Houde, O., Crivello, F., Joliot, M., Petit, L., Tzourio-Mazoyer, N.: Cortical networks for working memory and executive functions sustain the conscious resting state in man. Brain Research Bulletin 54, 287-298 (2001)
[10]
Binder, J.R., Frost, J.A., Hammeke, T.A., Bellgowan, P.S.F., Rao, S.M., Cox, R.W.: Conceptual processing during the conscious resting state: A functional MRI study. Journal of Cognitive Neuroscience 11, 80-93 (1999)
[11]
Greicius, M.D., Krasnow, B., Reiss, A.L., Menon, V.: Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences 100, 253-258 (2003)
[12]
Starzl, T.E., Whitlock, D.G.: Diffuse thalamic projection system in monkey. J. Neurophysiol. 15, 449-468 (1952)
[13]
Riecke, H., Roxin, A., Madruga, S., Solla, S.A.: Multiple attractors, long chaotic transients, and failure in small-world networks of excitable neurons. Chaos: An Interdisciplinary Journal of Nonlinear Science 17, 26110 (2007)
[14]
Stratton, P., Wiles, J.: Self-sustained non-periodic activity in networks of spiking neurons: the contribution of local and long-range connections and dynamic synapses. NeuroImage 52, 1070-1079 (2010)
[15]
Izhikevich, E.M.: Simple model of spiking neurons. IEEE Transactions on Neural Networks 14, 1569-1572 (2003)
[16]
Wang, X.J.: Synaptic Basis of Cortical Persistent Activity: the Importance of NMDA Receptors to Working Memory. Journal of Neuroscience 19, 9587-9603 (1999)
[17]
Markram, H., Wang, Y., Tsodyks, M.: Differential signaling via the same axon of neocortical pyramidal neurons. Proceedings of the National Academy of Sciences 95, 5323-5328 (1998)

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings
ICONIP'10: Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
November 2010
711 pages
ISBN:3642175368

Sponsors

  • APNNA: Asia Pacific Neural Network Assembly
  • Japanese Neural Network Society
  • ieee-cis: IEEE Computational Intelligence Society
  • INNS: International Neural Network Society
  • The European Neural Network Society

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 22 November 2010

Author Tags

  1. complex cortical activity
  2. diffuse thalamic projections
  3. izhikevich neurons
  4. spiking neural networks
  5. thalamo-cortical model

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 0
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 13 Jan 2025

Other Metrics

Citations

View Options

View options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media