Abstract
The hippocampus is one of the brain regions responsible for navigation. Thus, some computational models of the hippocampus focus on foraging and place learning tasks, leading to new approaches in robotics. Here, a hippocampus model composed of leaky integrate-and-fire neurons is considered. Although the model has been proposed in an earlier work, for robotic applications, a hardware realization of the hippocampus model is beneficial and has not been realized previously. The novelty of this work is building an improved spiking neural network in MATLAB Simulink and compiled to run on a field-programmable gate array (FPGA), with some hardware-oriented changes.
| Original language | English |
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| Title of host publication | 2025 Innovations in Intelligent Systems and Applications Conference, ASYU 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331597276 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 2025 Innovations in Intelligent Systems and Applications Conference, ASYU 2025 - Bursa, Turkey Duration: 10 Sept 2025 → 12 Sept 2025 |
Publication series
| Name | 2025 Innovations in Intelligent Systems and Applications Conference, ASYU 2025 |
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Conference
| Conference | 2025 Innovations in Intelligent Systems and Applications Conference, ASYU 2025 |
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| Country/Territory | Turkey |
| City | Bursa |
| Period | 10/09/25 → 12/09/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- FPGA application
- hippocampal circuitry
- one-shot learning
- spiking neural networks