Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 2, 2026Science AdvancesOpen Access

From trade-offs to translation: An interdisciplinary roadmap for neurotechnology

View Full Paper
Ask AI
Bookmark
Share

Authors

RSRuben Ruiz‐Mateos SerranoUniversity of CambridgeJTJoe G. TroughtonUniversity of CambridgeNMNima MirkhaniUniversity of Oxford

Discussion

Loading...

Member takes

Overview

Perspective outlines challenges and strategies for advancing neurotechnology across various domains, highlighting key trade-offs.

Key Points

  • This work aims to present a strategic roadmap for the development and translation of neurotechnologies, addressing interdisciplinary challenges.
  • Identified five cross-cutting trade-offs impacting neurotechnology development.
  • Outlined a unified framework for collaborative innovation, focusing on education and ethical considerations.
  • Proposed a timeline for overcoming bottlenecks in neurotechnology implementation.
  • Highlighted the potential of neurotechnologies in clinical and nonclinical applications, including cognitive enhancement.
  • Emphasized the importance of integrating insights from multiple disciplines to tackle shared challenges.
  • Proposed strategic opportunities for innovation while addressing ethical and regulatory issues.

Cite This Study

Serrano et al. (2026) studied this question.

synapsesocial.com/papers/6a6eeacb1b0468a7eeab33fchttps://doi.org/10.1126/sciadv.aee8595
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Electronics with shape actuation for minimally invasive spinal cord stimulation2021 · 78 citations
  2. 2Neuromorphic applications in medicine2023 · 51 citations
  3. 3Neuroelectronics and Biooptics2015 · 103 citations
  4. 4Stretchable Electronics with Strain‐Resistive Performance2023 · 58 citations
  5. 5Localization and Recovery of Peripheral Neural Sources With Beamforming Algorithms2009 · 77 citations