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Actor-Critic Networks with Analogue Memristors Mimicking Reward-Based Learning
Kevin Portner, Till Zellweger, Flavio Martinelli, Laura Bégon‐Lours, Valeria Bragaglia, Christoph Weilenmann, Daniel Jubin, Donato Francesco Falcone 等 18 位
ETH Zurich IBM Research - Zurich École Polytechnique Fédérale de Lausanne
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逐年被引趋势
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学术脉络
学科主题
工程Advanced Memory and Neural Computing
Neural dynamics and brain function · Neural Networks and Reservoir Computing
参考文献 70
Assessment of Spatial Memory Using the T Maze
被引 83Gary L. Wenk · Current Protocols in Neuroscience · 1998
Applications of the Morris water maze in the study of learning and memory
被引 2,026Rudi D’Hooge, Peter Paul De Deyn · Brain Research Reviews · 2001
Technology and circuit optimization of resistive RAM for low-power, reproducible operation
被引 28Deepak Sekar, B. Bateman, Usha Raghuram · 2014
此处列出前 3 条
施引文献 3
Electroforming Kinetics in HfO<sub><i>x</i></sub>/Ti RRAM: Mechanisms behind Compositional and Thermal Engineering
被引 9Manasa Kaniselvan, Kevin Portner, Donato Francesco Falcone · ACS Nano · 2025
Combination of reward-modulated spike-timing dependent plasticity and temporal difference long-term potentiation in actor–critic spiking neural network
被引 2Yunes Tihomirov, Roman Rybka, Alexey Serenko · Cognitive Systems Research · 2025
Actor-Critic Spiking Neural Network with RSTDP Actor Learning and TD-LTP Critic Learning
被引 1Yunes Tihomirov, Roman Rybka, Alexey Serenko · Studies in computational intelligence · 2024
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