搜索结果: 1-7 共查到“实验语言学 Learning”相关记录7条 . 查询时间(0.288 秒)
Understanding Failures of Learning:Hebbian Learning,Competition for Representational Space,and some Preliminary Experimental Data
Understanding Failures of Learning Hebbian Learning Competition for Representational Space Experimental Data
2015/6/19
The availability of powerful learning algorithms such as back-propagation has created a situation in which we now know how to teach neural networks many complex things. Models that use back propagatio...
Role of the hippocampus in learning and memory:A computational analysis
hippocampus learning memory computational analysis
2015/6/19
Role of the hippocampus in learning and memory:A computational analysis.
Why There Are Complementary LearningSystems in the Hippocampus and Neocortex:InsightsFrom the Successesand Failuresof Connectionist Modelsof Learning andMemory
Complementary Learning Systems Hippocampus and Neocortex Successes And Failures Connectionist Models Learning and Memory
2015/6/19
Damage to the hippocampal system disrupts recent memory but leaves remote memory intact. The account presented here suggests that memories are first stored via synaptic changes in the hippocampal syst...
Spectral Learning
Spectral Learning
2015/6/12
We present a simple, easily implemented spectral learning algorithm that applies equally whether we have no supervisory information, pairwise link constraints, or labeled examples. In the unsupervised...
Foxp2 Mutations Impair Auditory-Motor Association Learning
Foxp2 Auditory-Motor Association Learning
2015/4/20
Heterozygous mutations of the human FOXP2 transcription factor gene cause the best-described examples of monogenic speech and language disorders. Acquisition of proficient spoken language involves aud...
An aetiological Foxp2 mutation causes aberrant striatal activity and alters plasticity during skill learning
Foxp2 in vivo recording KE family motor-skill learning speech and language striatum
2015/4/20
Mutations in the human FOXP2 gene cause impaired speech development and linguistic deficits, which have been best characterised in a large pedigree called the KE family. The encoded protein is highly ...
Reinforcement Learning for Mapping Instructions to Actions。