Design of CNN cell with low-power variable-gm OTA and its application
Hisashi Tanaka, Koichi Tanno, Hiroki Tamura, Kenji Murao · 2008
In this paper, we propose a low-power variable-gmoperational transconductance amplifier (OTA) for cellular neural networks (CNN). The OTA use MOSFETS operating in the weak inversion region. By using a variable resistor, the transconductance gmcan be changed by the external bias voltage. The proposed OTA is verified by HSPICE simulations with the 0.18 μm standard CMOS device parameters. From the results, the power consumption is less than 7.0 μW with 1.2 V power supply. As an application of the proposed OTA, an oscillatory CNN circuit using two CNN cells with the proposed OTA is presented.