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Connectomes as constitutively epistemic objects: Critical perspectives on modeling in current neuroanatomy
1Berlin School of Mind and Brain, Humboldt Universität Berlin, Berlin, Germany; Research Group for Neuroanatomy and Connectivity, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Progress in Brain Research
|August 23, 2017
Summary
Connectomes, or maps of neural connections, are not complete descriptions but dynamic epistemic objects. This perspective reframes connectomics and its societal implications.
Area of Science:
- Neuroscience
- Philosophy of Science
- Sociology of Science
Background:
- The term "connectome" typically refers to a complete map of neural connections.
- Network thinking increasingly influences various societal domains, including technology, economy, and social life.
Purpose of the Study:
- To critically examine the role of connectomes in neuroscientific practice.
- To analyze the broader implications of the connectomic approach within a network-centric world.
- To question the notion of connectomes as definitive, complete descriptions.
Main Methods:
- Philosophical analysis integrating concepts of "descriptive models" and "epistemic objects."
- Historical and political assessment of contemporary neuroscientific research.
- Metaphorical analysis of the "brain as a network" concept.
Main Results:
- Connectomes are fundamentally "epistemic objects," inherently incomplete and subject to ongoing research and diverse modeling assumptions.
- The idea of a complete connectome as a permanent technical standard is misguided.
- Connectomics exemplifies the dominant "brain as a network" metaphor in neuroscience.
- This metaphor shares affinities with contemporary "network societies."
Conclusions:
- Connectomes should be understood as dynamic, evolving research targets rather than fixed maps.
- The "brain as a network" metaphor, while dominant, warrants critical examination due to its societal parallels.
- A more productive engagement with the relationship between connectomics and societal networks is possible.
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