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Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents
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Cortical network architecture for context processing in primate brain.

Zenas C Chao1, Yasuo Nagasaka1, Naotaka Fujii1

  • 1Laboratory for Adaptive Intelligence, RIKEN Brain Science Institute, Wako-shi, Japan.

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|September 30, 2015
PubMed
Summary
This summary is machine-generated.

Researchers mapped the brain's context processing network using electrocorticography. They discovered dynamic communication structures representing context through distributed networks and information flow.

Keywords:
cognitive contextconnectivityelectrocorticographymacaquemesoscopic networksneuronal interactionsneuroscience

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Systems Neuroscience

Background:

  • Contextual information guides behavior by being encoded in sensory processing and retrieved from memory.
  • Understanding how context is communicated within the cortical network (sensory and mnemonic forms) is limited by current recording and analysis methods.

Purpose of the Study:

  • To comprehensively map the cortical network architecture for context processing.
  • To investigate the large-scale neuronal communication underlying context encoding and retrieval.

Main Methods:

  • Utilized hemisphere-wide, high-density electrocorticography (ECoG) to record large-scale neuronal activity in monkeys.
  • Monkeys observed videos of agents interacting in varied contextual situations.
  • Analyzed network structures and connectivity patterns associated with context.

Main Results:

  • Identified five distinct context-related network structures within the cortical network.
  • Observed a bottom-up network during context encoding.
  • Detected cue-dependent retrieval of the same network structure with reversed top-down connectivity seconds later.

Conclusions:

  • Context is represented in the cortical network as distributed communication structures with dynamic information flows.
  • The study provides a novel methodology for recording and analyzing cortical network communication during cognitive tasks.
  • Reveals the dynamic nature of neural representations for context in the brain.