Reservoir Computing-Based Model of Action Planning: Emulating Prefrontal Cortex Functions with Dynamic Synapses and Reward-Based Learning
Author:
Affiliation:
1. The University of Osaka,Graduate School of Information Science and Technology,Osaka,Japan
2. Future University Hakodate,School of Systems Information Science,Hokkaido,Japan
Funder
Technology Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650190.pdf?arnumber=10650190
Reference13 articles.
1. Activity in the Lateral Prefrontal Cortex Reflects Multiple Steps of Future Events in Action Plans
2. The "echo state"approach to analysing and training recurrent neural networks-with an erratum note;Jaeger;Bonn, Germany: German National Research Center for Information Technology GMD Technical Report,2001
3. The cerebellum as a liquid state machine
4. Neural Networks with Dynamic Synapses
5. Emerging phenomena in neural networks with dynamic synapses and their computational implications
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