Skip to main content

Improving Recall in an Associative Neural Network of Spiking Neurons

  • Chapter
  • 1207 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5286))

Abstract

The mammalian hippocampus has often been compared to neural networks of associative memory [6]. Previous investigation of associative memory in the brain using associative neural networks have lacked biological complexity. Using a network of biologically plausible spiking neurons we examine associative memory function against results for a simple artificial neural net [5]. We investigate implementations of methods for improving recall under biologically realistic conditions.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   34.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   49.95
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Carnevale, N.T., Hines, M.L.: The Neuron Book. Cambridge University Press, Cambridge (2005)

    Google Scholar 

  2. Cobb, S.R., Buhl, E.H., Halasy, K., Paulsen, O., Somogyi, P.: Synchronization of neuronal activity in hippocampus by individual GABAergic interneurons. Nature 378, 75–78 (1995)

    Article  Google Scholar 

  3. Fransen, E., Lasner, A.: A model of cortical associative memory based on a horizontal network of connected columns. Network Comput. Neural Syst. 9, 235–264 (1998)

    Article  MATH  Google Scholar 

  4. Graham, B.P.: Pattern recognition in a compartmental model of a CA1 pyramidal neuron. Network Comput. Neural Syst. 12, 473–492 (2001)

    Article  Google Scholar 

  5. Graham, B., Willshaw, D.: Improving recall from an associative memory. Bio. Cybernetics 72, 337–346 (1995)

    Article  MATH  Google Scholar 

  6. Graham, B., Willshaw, D.: Capacity and information efficiency of the associative net. Network 8, 35–54 (1997)

    Article  MATH  Google Scholar 

  7. Pinsky, P., Rinzel, J.: Intrinsic and Network Rhythmogenesis in a Reduced Traub Model for CA3 Neurons. J. Comput. Neuroscience 1, 39–60 (1994)

    Article  Google Scholar 

  8. Sommer, F.T., Wennekers, T.: Associative memory in networks of spiking neurons. Neural Networks 14, 825–834 (2001)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Hunter, R., Cobb, S., Graham, B.P. (2008). Improving Recall in an Associative Neural Network of Spiking Neurons. In: Marinaro, M., Scarpetta, S., Yamaguchi, Y. (eds) Dynamic Brain - from Neural Spikes to Behaviors. NN 2007. Lecture Notes in Computer Science, vol 5286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88853-6_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-88853-6_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88852-9

  • Online ISBN: 978-3-540-88853-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics