Realization of Associative Memory in an Enzymatic Process: Towards Biomolecular Networks with Learning and Unlearning Functionalities
📝 Original Info
- Title: Realization of Associative Memory in an Enzymatic Process: Towards Biomolecular Networks with Learning and Unlearning Functionalities
- ArXiv ID: 1304.5731
- Date: 2013-04-23
- Authors: Researchers from original ArXiv paper
📝 Abstract
We report a realization of an associative memory signal/information processing system based on simple enzyme-catalyzed biochemical reactions. Optically detected chemical output is always obtained in response to the triggering input, but the system can also "learn" by association, to later respond to the second input if it is initially applied in combination with the triggering input as the "training" step. This second chemical input is not self-reinforcing in the present system, which therefore can later "unlearn" to react to the second input if it is applied several times on its own. Such processing steps realized with (bio)chemical kinetics promise applications of bio-inspired/memory-involving components in "networked" (concatenated) biomolecular processes for multi-signal sensing and complex information processing.💡 Deep Analysis
Deep Dive into Realization of Associative Memory in an Enzymatic Process: Towards Biomolecular Networks with Learning and Unlearning Functionalities.We report a realization of an associative memory signal/information processing system based on simple enzyme-catalyzed biochemical reactions. Optically detected chemical output is always obtained in response to the triggering input, but the system can also “learn” by association, to later respond to the second input if it is initially applied in combination with the triggering input as the “training” step. This second chemical input is not self-reinforcing in the present system, which therefore can later “unlearn” to react to the second input if it is applied several times on its own. Such processing steps realized with (bio)chemical kinetics promise applications of bio-inspired/memory-involving components in “networked” (concatenated) biomolecular processes for multi-signal sensing and complex information processing.