2021-07-01から1ヶ月間の記事一覧

計算論的神経科学 - STDPの機能と計算論モデル をみた。

講義 STDP in equations Functional consequence: reduced latency Functional consequence: latent pattern detection Online Implementation of STDP learning Weight dependence: hard and soft bounds Temporal all-to-all versus nearest-neighbor spik…

計算論的神経科学 - 皮質の教師なし学習、シナプスのモデル、STDP をみた。

講義 Modeling synapses: conductance-based model Spike-timing plasticity (STDP) 講義 www.youtube.com Modeling synapses: conductance-based model Spike-timing plasticity (STDP)

計算論的神経科学 - ヘブ則とその機能的意味 をみた。

講義 Wight normalization: additive or multiplicative Oja learning rule as a principle component analyzer. 講義 www.youtube.com Wight normalization: additive or multiplicative Oja learning rule as a principle component analyzer.

計算論的神経科学 - rate codingのシナプス可塑性モデル をみた。

講義 How does a neuron represent information? Hebb's postulate of activity dependent plasticity. Synaptic plasticity: rate-coding model This form is learning rule is unstable Hebbian plasticity in equation -> Generalization of Hebbian lear…