Unverified50% confidenceFactExact time
An artificial neuron receives multiple input signals, multiplies each input by a weight, adds a bias, and then passes the result through an activation function to determine whether to fire an output.
1
Sources
50%
Confidence
Long-term
Relevance
8/31/2026
First Seen
Sources
Related Entities
Related Claims
Unverified等变神经网络的等变性使输出随输入的旋转或平移变换而以相同方式变换,这种归纳偏置提高了样本效率76% similarUnverified神经元轮盘赌利用mlp_hooks在模型的多层感知机(MLP)层上挂载钩子函数,用来捕获神经元的激活值74% similarUnverifiedAnthropic's mechanistic interpretability research has been able to locate neural circuits associated with deceptive outputs in some cases72% similarUnverified闭环优化是神经科学中的实验范式,系统能实时根据大脑反馈信号动态调整刺激参数,形成刺激→神经响应→参数调整→新刺激的迭代回路70% similarUnverifiedCosmonapse's component naming draws on the biological nervous system, including Neuron (executes computation, typically an LLM call), Axon (emits signals), Dendrite (responds to signals), Synapse (event bus), and Engram (shared memory storage).66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/828239API
curl https://kongchang.com/api/v1/knowledge/claims/828239MCP
get_claim(id=828239)