Is my neural network neuromorphic? Taxonomy, recent trends and future directions in neuromorphic engineering
In this paper, we review recent work published over the last 3 years under the umbrella of
Neuromorphic engineering to analyze what are the common features among such systems …
Neuromorphic engineering to analyze what are the common features among such systems …
Prospects for analog circuits in deep networks
Operations typically used in machine learning algorithms (eg, adds and soft max) can be
implemented by compact analog circuits. Analog Application-Specific Integrated Circuit …
implemented by compact analog circuits. Analog Application-Specific Integrated Circuit …
Neuromorphic machine learning for audio processing: from bio-inspiration to biomedical applications
J Acharya - 2020 - dr.ntu.edu.sg
The recent success of Deep Neural Networks (DNN) has renewed interest in machine
learning and, in particular, bio-inspired machine learning algorithms. DNN refers to neural …
learning and, in particular, bio-inspired machine learning algorithms. DNN refers to neural …