We find that the cell response spectra of lateral geniculate nucleus cells, as well as the reflectance spectra of Munsell color chips, may be modeled by using the cone sensitivity functions of the long and medium cones. We propose a simple model for how the neural signals from the photoreceptors might be combined in the retina to closely approximate the reflectance spectra of Munsell color chip...

excessive production and stockpile of scrap tires cause some environmental and sanitary risks throughout the world. to manage these materials, possible use of soil-tire mixtures has been recently propounded in civil engineering projects. a few studies previously have been conducted to evaluate behavior of clay-tire mixtures, while swelling properties, consolidation and settlement characteristic...

The approximation of quantum states with artificial neural networks has gained a lot attention during the last years. Meanwhile, analog neuromorphic chips, inspired by structural and dynamical properties biological brain, show high energy efficiency in running neural-network architectures for profit generative applications. This encourages employing such hardware systems as platforms simulation...

At AT&T Bell Laboratories we have developed two neural-network chips: (i) the NET32K chip [1] with 32,768 1-bit processing elements which is well suited for image-analysis tasks such as feature extraction and (ii) the ANNA chip [2] with 4,096 3/6-bit processing elements designed for high-speed character recognition using our neural-net based optical character recognition (OCR) algorithms [3, 4]...

The application of biologically inspired methods in design and control has a long tradition in robotics. Unlike previous approaches in this direction, the emerging field of neurorobotics not only mimics biological mechanisms at a relatively high level of abstraction but employs highly realistic simulations of actual biological nervous systems. Even today, carrying out these simulations efficien...

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Recent advances in silicon photonic chips have made huge progress optical computing owing to their flexibility the reconfiguration of various tasks. Its deployment neural networks serves a...

Silicon circuits that mimic the nervous systems of insects and other animals represent the future of neurocomputing. They can perform various neural functions because the microstructures of a nervous system are replicated on their silicon chips. Since recent functional models of spiking neural networks tend to use spiking neurons, neuromorphic engineers have developed CMOS neural systems with s...

We discuss our ongoing research in sonification of neural activity as demonstrated in the “Fish and Chips” and “BrainWaves” projects. We argue that sonification can serve as an effective technique for the representation of complex spatial information such as neural activity due to the auditory system’s ability to perceive stimuli at a wide spatial cover and its inclination to perceive spatial p...