Networks of chemical reactions exhibit emergent properties under out-of-equilibrium conditions and can be utilized to emulate properties important for neuromorphic computing. Here, the authors report a strategy that uses metal ions (Ca2+, La3+, and Nd3+) to control the rate of a trypsin catalysed autocatalytic reaction network, with temporal and history dependent outputs that can be mapped onto a variety of mathematical functions.
- Dmitrii V. Kriukov
- Jurriaan Huskens
- Albert S. Y. Wong
