The problem of category learning has been traditionally investigated by employing disembodied categorization models. One of the basic tenets of embodied cognitive science states th...
A methodology is proposed to efficiently estimate the substrate noise generated by large scale aggressor circuits. Small spatial voltage differences within the ground distribution...
Emre Salman, Renatas Jakushokas, Eby G. Friedman, ...
— Oscillatory network model with controllable oscillator dynamics and self-organized dynamical coupling has been created for synchronization-based image processing. The model was...
Eugene Grichuk, Margarita Kuzmina, Edward A. Manyk...
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
We present a reduction of a large-scale network model of visual cortex developed by McLaughlin, Shapley, Shelley, and Wielaard. The reduction is from many integrate-and-fire neuron...