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Cracking the Neural Code

This article explores the intricate processes of neuronal communication, highlighting the role of synapses in transmitting signals between neurons. We delve into circuit models that describe how neural signals propagate, the phenomenon of isospike bifurcation, and the implications of scaling laws and universality in neural networks. Additionally, we discuss SEED implementation and optimal bit rates for efficient communication in neural circuits. The concluding remarks summarize the key insights into how understanding these mechanisms can inform both neuroscience and artificial intelligence.

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Cracking the Neural Code

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