How far neuroscience is from understanding brains.

Area of Science:

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• Current understanding of brain function lacks a unifying theory despite detailed knowledge of cellular biology.
• Existing models struggle to explain collective neuronal operations and brain capabilities.
• Conceptual limitations hinder progress in understanding the central nervous system.

Purpose of the Study:

• Identify major conceptual obstacles impeding neuroscientific progress.
• Propose alternative frameworks for understanding brain mechanisms.
• Highlight the need for new models integrating experimental data.

Main Methods:

• Conceptual analysis of current neuroscientific theories and experimental findings.
• Critique of existing models, including dynamical systems theory.
• Proposal of spatial dynamics as a potential explanatory framework.

Main Results:

• Neuroscience lacks integrated concepts and models for neuronal interactions across scales.
• Ambiguity exists in distinguishing different types of brain activities (task-related, spontaneous, intrinsic).
• Current approaches inadequately account for brain autonomy and the interplay of time and space in neural processing.

Conclusions:

• Conceptual shifts are necessary to advance brain science.
• Spatial dynamics offers a promising avenue for modeling neural activity.
• Future research should focus on single-trial analyses and integrated techniques to capture complex brain dynamics.