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A Review of Findings from Neuroscience and Cognitive Psychology
as Possible Inspiration for the Path to Artificial General Intelligence 神经科学和认知心理学的发现回顾：作为通往人工通用智能之路的可能启示 https://arxiv.org/abs/2401.10904 1. Introduction 2. The Biological Neuron - 2.1. The Structure of the Neuron - 2.2. The Structure of the Chemical Synapse - 2.3. The Formation of the Action Potential - 2.4. Excitation and Inhibition - 2.5. The Complexity of the Brain 3. Neuron Models - 3.1. Hodgkin-Huxley Model - 3.2. Izhikevich Model - 3.3. Integrate and Fire (IF) and Leaky Integrate and Fire (LIF) Neurons - 3.4. Spike Frequency Adaptation - 3.5. The Compartmental Neuron 4. Spiking Neural Networks - 4.1. Neural Coding - 4.1.1. Rate Coding - 4.1.2. Temporal Coding - 4.1.3. Burst Coding - 4.1.4. Comparison - 4.2. The Computational Power of SNNs - 4.3. Discuss
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