A Bio-realistic Synthetic Hippocampus for Robotic Cognition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F25%3A43921695" target="_blank" >RIV/00023752:_____/25:43921695 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s12668-025-02229-2" target="_blank" >https://link.springer.com/article/10.1007/s12668-025-02229-2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12668-025-02229-2" target="_blank" >10.1007/s12668-025-02229-2</a>

Result language
angličtina
Original language name
A Bio-realistic Synthetic Hippocampus for Robotic Cognition
Original language description
Current robotic systems struggle with adaptive generalisation beyond curated training domains. Inspired by hippocampal dynamics in biological cognition, we introduce a synthetic memory architecture that segregates online sensorimotor interaction from offline consolidation and generative replay. Implemented via spiking neural networks and neuromorphic substrates, our framework enables bidirectional memory traversal, goal-prioritised plasticity updates, and energy-efficient policy synthesis. This dual-state system bridges real-time control with autonomous learning, advancing a biologically grounded pathway toward resilient, context-adaptive robotic intelligence.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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