OTA-Based Implementations of Mixed-Mode Neural Circuits

  • Mohd. Samar Ansari
Part of the Studies in Computational Intelligence book series (SCI, volume 508)


A ‘mixed’-mode neural network is one in which the neuronal states are represented by voltages and the synaptic signals are conveyed by currents. This results in a lower complexity circuit, as compared to voltage-mode counterparts, since the synaptic resistances are not required to set the weights. The present chapter discusses Operational Transconductance Amplifier (OTA) based implementations of the various mixed-mode non-linear neural networks presented in the previous chapters. In most of the applications, the OTA has been used as a voltage comparator with current outputs.


Current Output Operational Amplifier Output Stage Previous Chapter Circuit Complexity 
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Copyright information

© Springer India 2014

Authors and Affiliations

  1. 1.Electronics EngineeringAligarh Muslim UniversityAligarhIndia

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