impaction 发表于 2025-3-26 21:34:13

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Valves 发表于 2025-3-27 01:15:31

Introduction: From Neurobiology to Siliconentists and engineers, do not understand. There are fundamental principles that we can learn from neurobiology about a different and — on poorly conditioned data — vastly more efficient form of computation.

兽群 发表于 2025-3-27 06:22:48

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北极熊 发表于 2025-3-27 10:14:47

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屈尊 发表于 2025-3-27 17:24:56

Floating-Gate MOS Synapse Transistorsgh floating-gate transistors can provide nonvolatile analog storage , because writing the memory entails the difficult process of moving electrons through SiO., these devices have not seen wide use as memory elements in silicon learning systems.

Fibrinogen 发表于 2025-3-27 20:45:39

A Low-Power Wide-Linear-Range Transconductance Amplifierdifficult to span 3 orders of magnitude of transconductance with a square law, unless we use transistors with ungainly aspect ratios. However, it is easy to obtain a wide linear range above threshold.

注射器 发表于 2025-3-28 00:28:58

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brassy 发表于 2025-3-28 02:05:26

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抵消 发表于 2025-3-28 10:14:11

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Detonate 发表于 2025-3-28 13:13:26

Asynchronous Communication of 2D Motion Information Using Winner-Takes-All ArbitrationSynchronous quantization (data conversion), transmission, and processing of information are today common engineering practices. These practices have evolved in an era where system components were designed and optimized independantly of each other but with a standard interface.
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查看完整版本: Titlebook: Neuromorphic Systems Engineering; Neural Networks in S Tor Sverre Lande Book 1998 Springer Science+Business Media New York 1998 VLSI.analog