2022
DOI: 10.1088/2634-4386/ac9c8a
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Reminding forgetful organic neuromorphic device networks

Abstract: Organic neuromorphic device networks can accelerate neural network algorithms and directly integrate with microfluidic systems or living tissues. Proposed devices based on the bio-compatible conductive polymer PEDOT:PSS have shown high switching speeds and low energy demand. However, as electrochemical systems, they are prone to self-discharge through parasitic electrochemical reactions. Therefore, the network's synapses forget their trained conductance states over time. This work integrates single-device high… Show more

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Cited by 7 publications
(10 citation statements)
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“…Additional compensation mechanisms should be considered if higher idle rates are expected for long periods. One such mechanism [17] is based on reminder pulses that are computed from each device's current state and the time of self-discharge based on a device model. They were shown to restore a rate-based ANNs state and accuracy.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…Additional compensation mechanisms should be considered if higher idle rates are expected for long periods. One such mechanism [17] is based on reminder pulses that are computed from each device's current state and the time of self-discharge based on a device model. They were shown to restore a rate-based ANNs state and accuracy.…”
Section: Discussionmentioning
confidence: 99%
“…To guarantee a stable baseline, the two devices are combined into a differential synapse [17,27] (figure 1(C)) with the weight w defined as,…”
Section: Organic Device Modelmentioning
confidence: 99%
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“…Despite recent advantages for organic neuromorphic systems for in memory computing, one of the main challenges remains the stability and in particular the state retention. In our special issue Felder et al [1] introduce a method to overcome this issue by 'reminding' the neuromorphic devices at certain times. This way the classification accuracy can remain high with a simple action.…”
mentioning
confidence: 99%