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Bio-inspired computational memory model of the Hippocampus: An approach to a neuromorphic spike-based
Daniel Casanueva-Morato1, Alvaro Ayuso-Martinez1, Juan P Dominguez-Morales2
1Escuela Técnica Superior de Ingeniería Informática (ETSII), Universidad de Sevilla, Seville, Avenida de Reina Mercedes s/n, 41012, Spain; Robotics and Tech. of Computers Lab., Universidad de Sevilla, Seville, 41012, Spain; Escuela Politécnica Superior (EPS), Universidad de Sevilla, Sevilla, 41011, Spain.
Summary
This study introduces a novel bio-inspired spiking memory model, mimicking the hippocampus, capable of learning and recalling information. This neuromorphic engineering approach offers efficient content-addressable memory on specialized hardware.
Area of Science:
- Neuromorphic Engineering
- Computational Neuroscience
- Artificial Intelligence
Background:
- The human brain exhibits superior computational efficiency compared to current artificial systems.
- Neuromorphic engineering seeks to replicate biological systems for advanced computing.
- The hippocampus, a brain region, functions as an autoassociative memory, crucial for learning and recall.
Purpose of the Study:
- To propose a bio-inspired spiking content-addressable memory model.
- To emulate the CA3 region of the hippocampus for learning and memory recall.
- To implement and validate this model on specialized hardware.
Main Methods:
- Development of a spiking neural network model inspired by the hippocampal CA3 region.
- Implementation of the model on the SpiNNaker hardware platform.
- Conducting functional, stress, and applicability tests to verify performance.
Main Results:
- Successful demonstration of a bio-inspired spiking content-addressable memory model.
- The model exhibits capabilities for learning, forgetting, and recalling memories from fragments.
- Validation of the model's functionality through comprehensive experimental testing.
Conclusions:
- This work presents the first hardware implementation of a fully-functional bio-inspired spiking hippocampal content-addressable memory.
- The developed model paves the way for more sophisticated neuromorphic systems.
- The study highlights the potential of bio-inspired approaches in advancing memory systems.
Keywords:
CA3Content-addressable memoryHippocampus modelNeuromorphic engineeringSpiNNakerSpiking neural networksMore Related Videos
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