The neural network is designed to solve the XOR problem using a single hidden layer with sigmoid activation. The neural network should train for 5000 epochs, printing the loss at every 100 epochs. A ...

Sigmoid functions for the nodes ... This work proposes an advanced modeling approach based on the NARMAX framework and a hierarchical neural network to model cortical activity in response to flexion ...

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Imagine watching a speaker and another person nearby is loudly crunching from a bag of chips. To deal with this, a person could adjust their attention to downplay those crunch noises or focus their ...

A neuroanatomical minimal network model was revisited to elucidate the mechanism of salt concentration memory-dependent chemotaxis observed in Caenorhabditis elegans. C. elegans memorizes the salt ...

Researchers have developed a geometric deep learning approach to uncover shared brain activity patterns across individuals.

Harvard affiliates developed a silicon chip that successfully mapped more than 70,000 synaptic connections from 2,000 rat neurons — advancing a new recording technology to address existing limitations ...