High gain amplifier with feedforward compensation based on quasi-floating gate transistors.
Javier Lemus-LópezAlejandro Díaz-SánchezJosé Miguel Rocha-PérezCarlos Muñiz-MonteroJaime Ramírez-AnguloPublished in: Integr. (2017)
Keyphrases
- feed forward
- floating gate
- back propagation
- artificial neural networks
- neural nets
- biologically plausible
- circuit design
- visual cortex
- neural network
- hidden layer
- recurrent neural networks
- neural architecture
- adaptive neural
- high power
- activation function
- real time
- power consumption
- feed forward neural networks
- network architecture
- high density
- multiscale
- genetic algorithm
- machine learning
- spiking neurons