Exact(32)
there are no directed loops, while a recurrent network does contain feedback loops.
Another approach consisted in precomputing the connectivity of a recurrent network according to the principles underlying the Hebbian rule [16].
Lloyd instead applies a multivariate approach to studying fMRI data, under the assumption that a recurrent network architecture underlies the temporal processing that gives rise to experienced time.
In [8], we show that a recurrent network of biophysically detailed neurons with sigmoidal activation curves can be robustly tuned by dual homeostasis to act as an integrator.
Wolfrum et al. suggested a recurrent network model for processing of both detection and identification of a face on an input image [22].
We trained a recurrent network model to perform DMC tasks and found that the model can remarkably reproduce key features of neuronal selectivity at the single-neuron and population levels.
Similar(28)
A simple recurrent network has an input layer, an output layer, a hidden layer, and an additional layer that copies the prior activation state of either the hidden layer or the output layer.
RIVMcSFNN presents a novel recurrent network architecture as a cognitive constituent, which features double local recurrent connections at both the hidden layer and the consequent layer.
We show that sensory experience specifically drives a 3-fold increase in connectivity at postnatal day (P) 9, producing a highly recurrent network.
Results of the experimental application are presented to make a quantitative comparison with an existing recurrent network in the literature.
In 2013 Chrupala use a simple recurrent network (SRN) to learn continuous vector representations for sequences of characters.
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