Complementary Working Memories using Free-Energy Optimization for Learning Features and Structure in Sequences

To validate the training of neural networks using the proposed algorithm, its results for waveguide microwave structures modeling are compared with the results obtained using

Learning from images containing multiple objects in cluttered scenes with only weak object presence/absence labels has been so far mostly limited to representing entire images

His current research and development interests are in the areas of deep learning using recurrent neural networks and its applications to natural language processing,

The second part of the convolution processing unit is the computing core that is responsible for integrating input spiking events and generating output spikes.. The computing core

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cessing all over the audio sequence. The error is computed with the euclidean distance between each GP vector with the nearest MFCCs from the audio samples. The error is not

Neurons that code well the end of the sequence are salient to the elements during the whole sequence (retrospective memory). In b), weights distribution for two lPFC units centered

In the bottom chart, although the rank order in the temporal patterns of the units in the lPFC is respected, this does not guarrantee that the units’ index is retrieved correctly in