An Electronic Version of Pavlov's Dog

By M. Ziegler, R. Soni, Timo Patelczyk, M. Ignatov, T. Bartsch, P. Meuffels, Hermann Kohlstedt. 2012

177 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/25aa48fa5fef571d5e404a5070f08b3192ed037f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Fabien Alibart
2. Elham Zamanidoost
3. Dmitri B. Strukov
4. John Paul Strachan
5. Mohammed Affan Zidan
6. Wei D. Lu

In Electrical and Electronic Engineering

1. Fabien Alibart
2. Elham Zamanidoost
3. Dmitri B. Strukov
4. John Paul Strachan
5. Mohammed Affan Zidan
6. Shimeng Yu
7. Wei D. Lu
8. M. Di Ventra

Citations in the corpus

• A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing. (2017, unknown): “As a first simple demonstration of functionality, we integrated ENODe in a circuit that emulates Pavlovian learning 27 (Fig.”
• Pattern classification by memristive crossbar circuits using ex situ and in situ training (2013, result): “One of the major challenges in this pursuit is the lack of suitable hardware to implement synapses, which are the most numerous processing elements in ANNs.”