Neuromorphic Computing Based on Organic Memristive Systems
- Artificial Neuron Networks (ANN)
Computing systems inspired by the biological neural networks.
- Logic with memory
Logic gates with integrated memory: output depends not only on the current configurations of inputs but also on the history of the gate function.
Hypothetical element, introduced by L. Chua in 1971; originally, the resistance of the memristor must be a function of the passed charge.
- Memristive device
Modern understanding of ideal Chua’s memristor, including devices, varying their resistance, capacity, or inductance.
Hypothetical element introduced by V. Braitenberg in 1984 for explaining learning capabilities.
Perceptron is an algorithm or device for supervised learning of binary classifiers (functions that can decide whether an input, represented by a vector of numbers, belongs to some specific class or not).
- Polyaniline (PANI)
Conducting polymer whose conductivity depends strongly on the doping level and redox state.
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