Plastic-based artificial synapse beats all energy-efficiency benchmarks: Page 2 of 2

February 27, 2017 //By Julien Happich
Plastic-based artificial synapse beats all energy-efficiency benchmarks
Led by associate professor Alberto Salleo from Stanford University, an international team of researchers has devised a low-cost, compliant and very energy-efficient artificial synapse mostly made out of polymers.

The conductance states are monitored using a postsynaptic potential Vpost and the conductance of the interface layer represents the synaptic weight of the connection between two neurons. The postsynaptic state is programmed by varying the amplitude or the duration of the presynaptic pulse.

The ENODe was found to properly emulate short-term to long-term potentiation found in nature and its scalability (size and geometry dictate operating speed and switching energy levels) makes it a promising candidate for designing ultra-low power neuromorphic computers.


Schematic of the flexible all solid-state neuromorphic
device.

With the ENODe, full plastic neural electrode arrays could be implemented in large-area systems for implantable prosthetics, where they could fold to form three-dimensional densely connected neuromorphic devices.

The researchers even envisage such biocompatible devices to enter advanced neural prostheses with integrated brain-machine interfaces that combine neural sensing with training.

 

Related articles:

IBM emulates neurons with phase-change materials

Closely mimicking synapses: diffusive memristors

BrainChip provides details of neural network architecture

Synaptic transistor learns as it switches


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