Stimulus representation in rat primary visual cortex: Multi-electrode recordings with micro-machined silicon probes and estimation theory

Winrich A. Freiwald, Heiko Stemmann, Aurel Wannig, Andreas K. Kreiter, Ulrich G. Hofmann, Matthew D. Hills, Gregory T.A. Kovacs, David T. Kewley, James M. Bower, Axel Etzold, Stefan D. Wilke, Christian W. Eurich

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The study of neural population codes relies on massively parallel recordings in combination with theoretically motivated analysis tools. We applied two multi-site recording techniques to record from cells throughout cortical depth in a minimally invasive way. The feasibility of such experiments in area 17 of the anesthetized rat is demonstrated. Bayesian reconstruction and the interpretative framework of Fisher information are introduced. We demonstrate applicability and usefulness of Bayesian stimulus reconstruction and show that even small numbers of neurons can yield a high degree of representational accuracy under favorable conditions. Results are discussed and future lines of research outlined.

Original languageEnglish (US)
Pages (from-to)407-416
Number of pages10
JournalNeurocomputing
Volume44-46
DOIs
StatePublished - 2002

Keywords

  • Bayesian reconstruction
  • Fisher information
  • Multi-site recording technology
  • Population coding
  • Visual cortex

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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