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Biological accuracy in large-scale brain simulations.
1Department of Human Sciences for Education, RobotiCSS Lab (Laboratory of Robotics for the Cognitive and Social Sciences), University of Milano-Bicocca, Building U6, Fourth Floor, Room 4145, Piazza dell'Ateneo Nuovo 1, 20126, Milan, MI, Italy. edoardo.datteri@unimib.it.
History and Philosophy of the Life Sciences
|January 12, 2020
Summary
High-accuracy brain simulations are not always essential for neuroscience research. This study clarifies the roles of simulations and biological accuracy, finding that detailed accuracy isn't crucial for their scientific value.
Area of Science:
- Computational Neuroscience
- Neuroscience Research
Background:
- Advancements in computing enable highly accurate digital reconstructions of brain circuits.
- The necessity of extreme biological accuracy in these simulations for neuroscientific research is questioned.
Purpose of the Study:
- To clarify the essentiality of biological accuracy in large-scale brain simulations.
- To distinguish between various roles of simulations in contemporary neuroscience.
- To define biological accuracy in the context of simulations.
Main Methods:
- Distinguishing between model-oriented and prediction-oriented roles of simulations.
- Analyzing the concept of biological accuracy in simulations.
- Evaluating the epistemic roles of simulations in brain research.
Main Results:
- Large-scale simulations can serve model-oriented and prediction-oriented functions.
- Biological accuracy can relate to model plausibility, implementation accuracy, and detail level.
- Extreme biological accuracy is not a prerequisite for simulations to fulfill their scientific roles.
Conclusions:
- Computer simulations do not require unprecedented biological accuracy to be valuable in neuroscience.
- The utility of brain simulations depends on their defined roles and appropriate interpretation of accuracy.
- Focusing on specific epistemic goals allows for effective use of simulations with varying levels of biological detail.
