Team:PKU Beijing
From 2009.igem.org
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Our circuit demonstrates a new, higher level organization which mimics nature in itself. Biology naturally is complex and adorned with several bells and whistles; here we tried to mimic neurons and their workings by creating a circuit which exemplifies Hebbian learning – firing together, wiring together. The uses for this circuit are infinite: the first AND gate allows for more precise detection of the environment, the bi-stable switch’s memory is stable and quite similar to one of higher eukaryotes and the second AND gate allows for ease of detection whether it be glowing, secreting, or the like. For example, it could sense the presence of chemicals which alone are harmless, but together are quite lethal; this circuit would allow for the detection of both easily. | Our circuit demonstrates a new, higher level organization which mimics nature in itself. Biology naturally is complex and adorned with several bells and whistles; here we tried to mimic neurons and their workings by creating a circuit which exemplifies Hebbian learning – firing together, wiring together. The uses for this circuit are infinite: the first AND gate allows for more precise detection of the environment, the bi-stable switch’s memory is stable and quite similar to one of higher eukaryotes and the second AND gate allows for ease of detection whether it be glowing, secreting, or the like. For example, it could sense the presence of chemicals which alone are harmless, but together are quite lethal; this circuit would allow for the detection of both easily. | ||
- | Memory and learning are two motifs popular in both iGEM and out. From studying such processes, we learn a little bit more about them and about ourselves. Seeing our E. cogs learn and respond is but the first step to many others in the future. As synthetic biology often is, it is not an exact copy, but a model nonetheless. Building upon the groundbreaking work of Pavlov, our E. cogs are yet another milestone on the way to learning and understanding the true complexity of nature. | + | Memory and learning are two motifs popular in both iGEM and out. From studying such processes, we learn a little bit more about them and about ourselves. Seeing our E. cogs learn and respond is but the first step to many others in the future. As synthetic biology often is, it is not an exact copy, but a model nonetheless. Building upon the groundbreaking work of Pavlov, our E. cogs are yet another milestone on the way to learning and understanding the true complexity of nature. |
{{PKU_Beijing/Foot}} | {{PKU_Beijing/Foot}} |
Revision as of 00:11, 26 September 2009
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