Sensory Adaptation in Biomolecular Memristors Improves Reservoir Computing Performance

15Citations
Citations of this article
19Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Despite its prevalence in neurosensory systems for pattern recognition, event detection, and learning, the effects of sensory adaptation (SA) are not explored in reservoir computing (RC). Monazomycin-based biomolecular synapse (MzBS) devices that exhibit volatile memristance and short-term plasticity with two strength-dependent modes of response are studied: facilitation and facilitation-then-depression (i.e., SA). Their ability to perform RC tasks including digit recognition, nonlinear function learning, and aerodynamic gust classification via combination of model-based device simulations and physical experiments where SA presence is controlled is studied. Simulations exhibiting moderate SA achieve significantly higher accuracy classifying a custom 5 × 5 binary digit set, with experimental validation achieving maximum testing accuracies of 90%. Classifications of the Modified National Institute of Standards and Technology (MNIST) handwritten digit dataset achieve a maximum testing accuracy of 94.34% in devices with SA. Fitting error of the Mackey–Glass time series is also significantly reduced by SA. Experimentally obtained pressure distributions representing gusts on an airfoil in a wind tunnel are classified by MzBS reservoirs. Reservoirs exhibiting SA achieve 100% accuracy, unlike MzBS reservoirs without SA and comparable static neural networks.

Cite

CITATION STYLE

APA

Maraj, J. J., Haughn, K. P. T., Inman, D. J., & Sarles, S. A. (2023). Sensory Adaptation in Biomolecular Memristors Improves Reservoir Computing Performance. Advanced Intelligent Systems, 5(8). https://doi.org/10.1002/aisy.202300049

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free