Titlebook: Brain-Inspired Computing; 4th International Wo Katrin Amunts,Lucio Grandinetti,Nicolai Petkov Conference proceedings‘‘‘‘‘‘‘‘ 2021 The Edito

Melanin

書目名稱Brain-Inspired Computing影響因子(影響力)




書目名稱Brain-Inspired Computing影響因子(影響力)學(xué)科排名




書目名稱Brain-Inspired Computing網(wǎng)絡(luò)公開度




書目名稱Brain-Inspired Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Brain-Inspired Computing被引頻次




書目名稱Brain-Inspired Computing被引頻次學(xué)科排名




書目名稱Brain-Inspired Computing年度引用




書目名稱Brain-Inspired Computing年度引用學(xué)科排名




書目名稱Brain-Inspired Computing讀者反饋




書目名稱Brain-Inspired Computing讀者反饋學(xué)科排名

燒瓶

發(fā)生

Computational Modelling of Cerebellar Magnetic Stimulation: The Effect of Washout bio-electrical behaviour of neurons. However, it is still unclear which are the neural mechanisms that are involved and how the external stimulation changes the neural responses at network-level. In this paper, we have exploited the simulations carried out using a spiking neural network model, whic

路標(biāo)

來自于

催眠藥

Archipelago

elucidate

semiskilled

An Hybrid Attention-Based System for?the?Prediction of Facial Attributesetwork. Even though deep learning achieved a very high performance on several challenging visual tasks, such as determining the identity, age, gender and race, it still lacks a well grounded theory which allows to properly understand the processes taking place inside the network layers. Therefore, m

MOCK

The Statistical Physics of Learning Revisited: Typical Learning Curves in Model Scenarios This interdisciplinary approach is currently regaining momentum due to the revived interest in neural networks and deep learning. Methods borrowed from statistical mechanics complement other approaches to the theory of computational and statistical learning. In this brief review, we outline and ill