Abstract: A hardware Artificial Neural Network (ANN) analog circuit may include one or more interconnected node circuits. At least one such node circuit may include: two or more first analog circuits, each configured to receive a respective input signal, and produce an exponentiation signal representing a calculation of exponentiation of the respective input signal, by a predetermined respective exponent value; a second analog circuit, configured to produce a multiplication signal, representing a product of the exponentiation signals of the two or more first translinear analog circuits; and a third analog circuit, configured to output an activation signal, based on said multiplication signal.

Abstract: The present invention is directed to systems including an expression vector or a plurality thereof, including methods of using same, such as for controlling the expression level of a gene of interest (GOI) or reducing high basal expression level of a GOI.

Abstract: The present invention is directed to a single input multiplex decision expression system, and a method of using same, such as for expressing a reporter protein.

Abstract: An analog signal processing circuit comprising: a first promoter operably linked to a nucleic acid sequence encoding a first output molecule, wherein said promoter is responsive to a cooperative input signal comprising at least two cooperative inputs, and wherein expression of said at least two cooperative inputs is tunable.

Abstract: Aspects of the present disclosure relate to analog signal processing circuits and methods for cellular computation.