Electronic Devices And Circuits By Bogart Pdf Free Download
Carey Jangam
Since their introduction, neural networks have become an accepted object of research in various disciplines. Most of these neural networks are implemented using digital hardware consisting of computers or dedicated processors.
Analogue implementations of artificial neurons, the elementary processing units, could be smaller than their digital counterparts, thus enabling more complex networks on a single chip. Conventional methods of learning cannot be used directly in these networks, due to practical limitations regarding on-chip interconnections. In order to achieve such a complexity, it is necessary to refine the neural networks.
This article proposes an artificial dendrite, one of the most important parts of the neuron. The artificial dendrite uses principles found in biology like active propagation and shaping of action potentials using active channels. A brief introduction in neurophysiology is given in order to explain the underlying mechanisms. The model is simulated in SPICE using models of conventional analogue electronic devices.
We report postgrowth doping of silicon nanowires (SiNWs) through ion implantation and subsequent annealing with nanosecond pulsed laser light. The green laser annealing process allows for polarization selective localized heating and enables highly efficient activation of implanted boron and arsenic in the SiNWs as revealed by electrical resistivity measurements. Transistor devices fabricated by this technique show reduced parasitic series resistance and higher drive currents making the process suitable for fabrication of high-performance NW based electronics on glass and plastics.
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