Titlebook: Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence; 6th International Wo José Mira,Alberto Prieto Conference

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書目名稱Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence影響因子(影響力)




書目名稱Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence影響因子(影響力)學科排名




書目名稱Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence網(wǎng)絡(luò)公開度




書目名稱Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence網(wǎng)絡(luò)公開度學科排名




書目名稱Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence被引頻次




書目名稱Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence被引頻次學科排名




書目名稱Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence年度引用




書目名稱Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence年度引用學科排名




書目名稱Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence讀者反饋




書目名稱Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence讀者反饋學科排名

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High Speed Turbo-like Decoders,eometrical and electrogenic elements. The subtleness of their performance is such that experimental research, necessarily invasive, often yields contradictory results. Biophysical models help to understand better what dendrites can actually do and what they mean for the global processing and, perhap

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江湖郎中

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群居動物

群居動物

Losses in Turbine and Compressor Cascades,e study of a single code versus a distributed code has been contrasted using this methodology. The redundancy inherent in the code has been quantified by computing the bits of information transmitted by increasing number of neurons. Although initially there is a linear growth, when certain numbers o

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Integral Balances in Turbomachineryoding conspicuity of locations during visual attention. Attention window is developed in thalamus due to its retinotopic organization. The global competitive network in thalamic reticular nucleus (NRT) determines which thalamic cells should produce bursting response. These cells are corresponded wit

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Turbine and Compressor Cascade Flow Forces of formal neurons with end-stopping inhibitory and disinhibitory zones in the receptive field. We evaluated the output responses of neurons under variation of a cross size, shape, orientation. It was shown that disinhibitory mechanism could explain neuronal sensitivity to cross-like figures. The tu