Bio computing



Using living organisms as logic gates or even general computing devices. Viewed as a computational science this might be considered an especially quaint sub-field of Turing-Machine-hunting. OTOH, the ability to bake real computation into the structures of life has some obvious applications and surely non-obvious ones.

As distinct from doing biology-like computation using computers - that’s a biomimetic algorithm.

Projects like Microsoft’s Station B and Biological computation unit are angling for some market share in this field. There are many others.

References

Adamatzky, Andrew, and Theresa Schubert. 2014. β€œSlime Mold Microfluidic Logical Gates.” Materials Today 17 (2): 86–91.
Baer, R M, and H M Martinez. 1974. β€œAutomata and Biology.” Annual Review of Biophysics and Bioengineering 3 (1): 255–91.
Beniaguev, David, Idan Segev, and Michael London. 2021. β€œSingle Cortical Neurons as Deep Artificial Neural Networks.” Neuron 109 (17): 2727–2739.e3.
Bray. 1995. β€œProtein Molecules as Computational Elements in Living Cells.” Nature 376: 307–12.
Brette, Romain. 2012. β€œComputing with Neural Synchrony.” PLoS Comput Biol 8 (6): e1002561.
Gopalkrishnan, Manoj. 2015. β€œA Scheme for Molecular Computation of Maximum Likelihood Estimators for Log-Linear Models.” arXiv:1506.03172 [Cs, Math, q-Bio, Stat], June.
Liang, Yuchen, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, and Dmitry Krotov. 2021. β€œCan a Fruit Fly Learn Word Embeddings?” arXiv:2101.06887 [Cs, q-Bio, Stat], January.
Orellana, Josue, Jordan Rodu, and Robert E. Kass. 2017. β€œPopulation Vectors Can Provide Near Optimal Integration of Information.” Neural Computation 29 (8): 2021–29.
Semenov, Sergey N., Lewis J. Kraft, Alar Ainla, Mengxia Zhao, Mostafa Baghbanzadeh, Victoria E. Campbell, Kyungtae Kang, Jerome M. Fox, and George M. Whitesides. 2016. β€œAutocatalytic, Bistable, Oscillatory Networks of Biologically Relevant Organic Reactions.” Nature 537 (7622): 656–60.
Straszak, Damian, and Nisheeth K. Vishnoi. 2016. β€œIRLS and Slime Mold: Equivalence and Convergence.” arXiv:1601.02712 [Cs, Math, Stat], January.
Vanchurin, Vitaly, Yuri I. Wolf, Mikhail Katsnelson, and Eugene V. Koonin. 2021. β€œTowards a Theory of Evolution as Multilevel Learning.” Cold Spring Harbor Laboratory.
Wilkinson, Darren J. 2009. β€œStochastic Modelling for Quantitative Description of Heterogeneous Biological Systems.” Nature Reviews Genetics 10 (2): 122–33.

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