Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
—— Hybrid semiconductor/nanodevice (“CMOL”) technology may allow the implementation of digital and mixed-signal integrated circuits, including artificial neural networks (...
A detailed connectionist architecture is described which is capable of relating psychological behavior to the functioning of neurons and neurochemicals. The need to be able to bui...
— This paper presents an analogue integrated circuit implementation of a cortical neuron model. The VLSI chip prototype has been implemented in a 0.35 µm CMOS technology. The si...
Although biological visual systems have been widely studied at the physiological, psychophysical and functional levels, our understanding of its signal processing mechanisms is st...
Ocean Y. H. Cheung, Philip Heng Wai Leong, Eric K....