Field guide

Biological computing

Can living systems process information?

Start here.

Biological computing uses living systems as part of an information-processing device. Neural cultures can respond to inputs and change their activity with feedback. Performance on a task is a measurable result; personal consciousness is a different question.

A useful analogy—and its limit

A system can improve its score on a game without showing that it understands a life story. “Learning” must be tied to the particular task and control conditions.

What to look for in a paper.

Look for task definitions, controls, repeatability, useful lifetime and the cost of the complete support system. Compare equivalent tasks before making energy-efficiency claims.

The vocabulary.

Reservoir computing
Using a system’s changing internal responses as features for a readout.
Closed loop
A system in which measured outputs affect later inputs.
Benchmark
A defined test used to compare performance.

Read in this order.

  1. Can a neuron culture change performance when it receives feedback?
  2. What would a serious organoid-computing program need?
  3. How does biological computing fit within the wider history of computing?

Every source in this field.