[Bacomics--a new discipline integrating brain and the outside]

Area of Science:

• Neuroscience and Human-Computer Interaction
• Computational Neuroscience
• Bio-Cybernetics

Background:

• Understanding brain-world interactions is crucial for advancing neurotechnology.
• Existing frameworks lack a unified approach to brain-apparatus communication.
• The concept of brain-apparatus conversation requires systematic classification.

Purpose of the Study:

• To introduce Bacomics, a unified framework for brain-apparatus interactions.
• To categorize brain-apparatus conversation modes.
• To explore potential applications across different interaction types.

Main Methods:

• Conceptual framework development.
• Classification of brain-apparatus interactions based on apparatus type (biological vs. non-biological).
• Analysis of interaction pathways and potential applications.

Main Results:

• Identification of three primary brain-apparatus conversation modes: BAC-1 (brain-biological organ), BAC-2 (brain-non-living equipment/environment), and BAC-3 (fusion of BAC-1 and BAC-2).
• Detailed explanation of the mechanisms and characteristics of each mode.
• Outline of potential applications, from neuroprosthetics to environmental control.

Conclusions:

• Bacomics provides a structured approach to understanding and developing brain-apparatus interactions.
• The proposed classification facilitates targeted research and application development.
• This framework has broad implications for neuroscience, engineering, and medicine.