Work

Cytomorphic Electronic Systems: A review and perspective

Year: 2021

Type: article

Abstract: systems built on subthreshold analog circuits. Such simulations can accurately model noisy, nonlinear, asynchronous, stiff, and non-modular feedback dynamics in interconnected networks in the physical circuits, automatically. The scaling in simulation time for stochastic networks with the number of reactions or molecules is constant in cytomorphic systems. In contrast, it grows rapidly in digital systems, which are not parallelizable. Therefore, cytomorphic systems enable large-scale supercomputing systems-biology simulations of arbitrary and highly computationally intensive biochemical reaction networks that can nevertheless be compiled to them via digitally programmable parameters and connectivity. We outline how cytomorphic systems can be utilized for rapid drug-cocktail formulation and discovery in future pandemics like COVID-19; can simulate networks important in cancer; and can help automate the design of synthetic biological circuits, e.g. a synthetic biological operational amplifier for robust and precise drug delivery. Thus, just as neuromorphic systems have enabled multiple applications in A.I., cytomorphic systems will enable multiple applications in biology and medicine.

Source: IEEE Nanotechnology Magazine

DOI: 10.1109/mnano.2021.3113192

Authors: Douglas Raymond Beahm, Yijie Deng, Tanner G. Riley, Rahul Sarpeshkar

Institution: Dartmouth College

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Dartmouth College, National Institutes of Health, National Institute of General Medical Sciences, Air Force Office of Scientific Research

Awards: High Performance Simulation Libraries for Systems Biology, G8302973806