Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC

Dezhe Z. Jin, Fethi M. Ramazanoğlu, H. Sebastian Seung

Research output: Contribution to journalArticlepeer-review

63 Scopus citations

Abstract

Avian brain area HVC is known to be important for the production of birdsong. In zebra finches, each RA-projecting neuron in HVC emits a single burst of spikes during a song motif. The population of neurons is activated in a precisely timed, stereotyped sequence. We propose a model of these burst sequences that relies on two hypotheses. First, we hypothesize that the sequential order of bursting is reflected in the excitatory synaptic connections between neurons. Second, we propose that the neurons are intrinsically bursting, so that burst duration is set by cellular properties. Our model generates burst sequences similar to those observed in HVC. If intrinsic bursting is removed from the model, burst sequences can also be produced. However, they require more fine-tuning of synaptic strengths, and are therefore less robust. In our model, intrinsic bursting is caused by dendritic calcium spikes, and strong spike frequency adaptation in the soma contributes to burst termination.

Original languageEnglish (US)
Pages (from-to)283-299
Number of pages17
JournalJournal of Computational Neuroscience
Volume23
Issue number3
DOIs
StatePublished - Dec 2007
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Sensory Systems
  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

Keywords

  • Associative chaining model
  • Computational model
  • Dendritic spike
  • Sequence generation
  • Songbird

Fingerprint Dive into the research topics of 'Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC'. Together they form a unique fingerprint.

Cite this