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Area of Science:

  • Neuroscience
  • Computational Biology
  • Bio-inspired Computing

Background:

  • The concept of Brainets, networks of multiple animal brains cooperating through direct brain-to-brain interfaces, was previously proposed.
  • These Brainets were hypothesized to form the basis of a novel computing device: an organic computer.

Purpose of the Study:

  • To experimentally demonstrate the feasibility and functionality of a Brainet.
  • To explore the computational capabilities of interconnected animal brains.
  • To investigate Brainets as a platform for studying social behavior and organic computing.

Main Methods:

  • Constructed a Brainet by interconnecting four adult rat brains using direct brain-to-brain interfaces.
  • Recorded extracellular electrical activity from cortical neurons in real time using multi-electrode arrays.
  • Transmitted recorded neuronal activity to the somatosensory cortices of other rats via intracortical microstimulation (ICMS).

Main Results:

  • The demonstrated Brainet successfully performed various computational tasks, including discrete classification, image processing, and tactile information storage/retrieval.
  • The Brainet even achieved weather forecasting capabilities.
  • Performance levels in these tasks were comparable to or exceeded those of individual rats.

Conclusions:

  • Brainets represent a viable organic computing architecture.
  • Interconnected animal brains can collectively solve complex problems.
  • Brainets offer a unique platform for both computational research and the study of animal social interactions.