Iodine 发表于 2025-3-21 16:21:08

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gait-cycle 发表于 2025-3-21 22:35:22

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过渡时期 发表于 2025-3-22 01:26:12

Lyle Yorks,Judy O’Neil,Victoria Marsicks. The % Hebbian-LMS algorithm implements the extended Hebbian learning rules for small values of the postsynaptic membrane potential, but at larger values, the Hebbian rules begin to break down. The % Hebbian-LMS algorithm applies at small and large values of the membrane potential and predicts the phenomenon of homeostasis.

Engulf 发表于 2025-3-22 05:53:55

Hebbian Learningesented to support a “spike timing” learning rule. Actually their data casts doubt on the spike timing hypothesis. Another more consistent analysis suggests that the extended Hebbian rules are more likely to be nature’s learning rules.

种子 发表于 2025-3-22 12:34:53

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小平面 发表于 2025-3-22 16:03:21

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小平面 发表于 2025-3-22 17:03:12

https://doi.org/10.1007/978-90-481-3935-4esented to support a “spike timing” learning rule. Actually their data casts doubt on the spike timing hypothesis. Another more consistent analysis suggests that the extended Hebbian rules are more likely to be nature’s learning rules.

强壮 发表于 2025-3-23 00:35:44

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AMEND 发表于 2025-3-23 01:44:13

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消息灵通 发表于 2025-3-23 07:39:22

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查看完整版本: Titlebook: Cybernetics 2.0; A General Theory of Bernard Widrow Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to