gain analogue vlsi neural network
WATTLE: A Trainable Gain Analogue VLSI Neural Network
This paper describes a low power analogue VLSI neural network called Wattle. The intended application of this chip is Intra Cardiac Electrogram classification as part of an implantable pacemaker / defibrillator sys(cid:173) tem. Measurements of t.he chip indicate that 10pJ per connection is achievable as part of an integrated system.
WATTLE: A Trainable Gain Analogue VLSI Neural Network
Coggins, Richard, Jabri, Marwan
This paper describes a low power analogue VLSI neural network called Wattle. Wattle is a 10:6:4 three layer perceptron with multiplying DAC synapses and on chip switched capacitor neurons fabricated in 1.2um CMOS.
WATTLE: A Trainable Gain Analogue VLSI Neural Network
Coggins, Richard, Jabri, Marwan
This paper describes a low power analogue VLSI neural network called Wattle. Wattle is a 10:6:4 three layer perceptron with multiplying DAC synapses and on chip switched capacitor neurons fabricated in 1.2um CMOS.
WATTLE: A Trainable Gain Analogue VLSI Neural Network
Coggins, Richard, Jabri, Marwan
This paper describes a low power analogue VLSI neural network called Wattle. Wattle is a 10:6:4 three layer perceptron with multiplying DACsynapses and on chip switched capacitor neurons fabricated in 1.2um CMOS.