Lifted Relational Neural Networks

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

Given a completely connected network of neurons in which the synaptic weights are Gaussian correlated random variables, we describe the asymptotic law of the network when the number

In [2] we started our asymptotic analysis of very large networks of neurons with correlated synaptic weights.. In the same article we provided an analytical expression of this

Similarly, pre-training the Italian model with weights derived from the French models using string matching codes did not support the neural network training. This represents