Activity-dependent synaptic plasticity of a chalcogenide electronic synapse for neuromorphic systems

Area of Science:

• Materials Science
• Neuroscience
• Computer Engineering

Background:

• Electronic synapses are key for beyond-Von Neumann computing, integrating storage and processing.
• Biological synapses exhibit plasticity, crucial for learning and memory.
• Chalcogenide materials offer promising memristive properties for synaptic emulation.

Purpose of the Study:

• To demonstrate a novel Ag/AgInSbTe/Ag structure for chalcogenide memristor-based electronic synapses.
• To utilize memristive characteristics for mimicking activity-dependent synaptic plasticity.
• To explore the modulation of synaptic plasticity for neuromorphic computing.

Main Methods:

• Fabrication of a Ag/AgInSbTe/Ag memristive device structure.
• Characterization of memristive properties, focusing on reproducible gradual resistance tuning.
• Implementation and analysis of bidirectional long-term Hebbian plasticity modulation using pre- and postsynaptic spike activity.

Main Results:

• Reproducible gradual resistance tuning demonstrating memristive behavior.
• Successful emulation of activity-dependent synaptic plasticity, mimicking biological learning.
• Demonstration of bidirectional long-term Hebbian plasticity modulation influenced by spike timing, rate, and voltage.
• Observation of synaptic saturation as a mechanism for stabilizing synaptic weight growth.

Conclusions:

• The developed chalcogenide memristor-based electronic synapses show potential for advanced neuromorphic computing.
• The findings contribute to the development of highly functional plastic electronic synapses.
• This work advances the construction of next-generation parallel neuromorphic computing architectures.