Physically reconfigurable synaptic plasticity and learning in stretchable neuromorphic systems

Key Points

• The aim is to explore how physical reconfiguration can enhance synaptic plasticity in computing systems.
• Developing a neuromorphic platform with reconfigurable architectures
• Programming synaptic functions using gate electrode assembly
• Demonstrated programmable synaptic plasticity
• Enabled adaptable functions for various computing tasks