This dissertation presents a novel verification technique for analog and mixed signal circuits. Analog circuits are widely used in many applications such as consumer electronics, telecommunications, medical electronics, and so on. Furthermore, in deep sub-micron design, physical effects might undermine common digital abstractions of circuit behavior. Therefore, it is necessary to develop system...

Analog circuit design can be formulated as a non-linear constrained optimisation problem that solved using any suitable algorithms. Different techniques have been reported to reduce the time of analog circuits. A hybrid particle swarm algorithm with linearly decreasing inertia weight for is proposed in this study. The method used two-stage operational amplifier Miller compensation. results show...

The presence of a tight integration between the discrete control (the “cyber”) and the analog environment (the “physical”)—via sensors and actuators over wired or wireless communication networks—is the defining feature of cyberphysical systems. Hence, the functional correctness of a cyberphysical system is crucially dependent not only on the dynamics of the analog physical environment, but also...

We present a neuromorphic VLSI device which comprises hybrid analog/digital circuits for implementing networks of spiking neurons. Each neuron integrates input currents from a row of multiple analog synaptic circuit. The synapses integrate incoming spikes, and produce output currents which have temporal dynamics analogous to those of biological post synaptic currents. The VLSI device can be use...

The operating current regime is found to play a key role in determining the synaptic characteristic of memristor devices. A conduction channel that formed using high compliance prior operation results digital behavior; stimulus forms complete conductive filament connecting cathode and anode, electric field promotes abrupt redox reactions during potentiation depression pulsing schemes. Conversel...

Neuromorphic engineering [Mead, 1989, Mead, 1990, Douglas et al., 1995] applies the computational principles used by biological nervous systems to those tasks that biological systems perform easily, but which have proved difficult to do using traditional engineering techniques. These problems include visual and auditory perceptive processing, navigation, and locomotion. Typically, current neuro...

In this paper we discuss why special purpose chips are needed for useful implementations of connectionist neural networks in such applications as pattern recognition and classification. Three chip designs are described: a hybrid digital/analog programmable connection matrix, an analog connection matrix with adjustable connection strengths, and a digital pipe lined best-match chip. The common fe...