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Updated: Jul 10, 2026
26:41
Perspectives on Neuroscience
Published on: July 31, 2007
Neurotech for neuroscience: unifying concepts, organizing principles, and emerging tools
Rae Silver1, Kwabena Boahen, Sten Grillner
1Psychology Department, Barnard College of Columbia University, New York, New York 10027, USA. qr@columbia.edu
Summary
Advancements in neuroscience and engineering enable multi-level brain analysis. Interdisciplinary teams are exploring motor control, cognition, and brain-inspired computing.
Area of Science:
- Neuroscience
- Cognitive Science
- Computer Engineering
- Mathematical Modeling
Background:
- Methodological advancements facilitate simultaneous multi-level brain analysis.
- Classical research strategies ('measure,' 'model,' 'make') are being adapted for nervous system exploration.
- Interdisciplinary collaboration is increasingly essential for complex neuroscience research.
Purpose of the Study:
- To explore the potential of integrated research approaches for understanding brain function.
- To highlight advancements in conceptual, theoretical, and mathematical modeling for neuroscience.
- To discuss the development of brain-like computational systems.
Main Methods:
- Application of 'measure,' 'model,' and 'make' research strategies.
- Integration of novel conceptual, theoretical, and mathematical approaches.
- Development of brain-like devices and systems through interdisciplinary collaboration.
Main Results:
- Progress in understanding directed motor movement.
- Insights into the emergence of cognitive function from neuronal activity.
- Advancements in the development of neuromimetic computers.
Conclusions:
- Multi-level brain analysis requires interdisciplinary teams.
- Novel approaches are driving understanding of brain function and computation.
- Funding agencies are considering future research policies for these frontiers.
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