Arash Ahmadi

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This paper addresses the problem of computational error modeling and analysis. Choosing different word-lengths for each functional unit in hardware implementations of numerical algorithms always results in an optimization problem of trading computational error with implementation costs. In this study, a symbolic noise analysis method is introduced for(More)
there has been a strong push recently to examine biological scale simulations of neuromorphic algorithms to achieve stronger inference capabilities. This paper presents a set of piecewise linear spiking neuron models, which can reproduce different behaviors, similar to the biological neuron, both for a single neuron as well as a network of neurons. The(More)
This study presents an analog implementation of the spiking neurons based on a piecewise-linear model. This model is a variation of the Izhikevich model, which is capable of reproducing different dynamic behaviors. The proposed circuit utilizes second generation current conveyors (CCII) building blocks. With the same topology and circuit values, this(More)
—A shared bus is a suitable structure for minimizing the interconnections costs in system synthesis. It has also been shown that the word-length of Functional Units has a great impact on design costs. A combination of both methods is used in this paper in the form of a partitioned shared bus structure, in which every partition has a different width and all(More)
This paper presents a modified astrocyte model that allows a convenient digital implementation. This model is aimed at reproducing relevant biological astrocyte behaviors, which provide appropriate feedback control in regulating neuronal activities in the central nervous system. Accordingly, we investigate the feasibility of a digital implementation for a(More)
This paper presents a set of reconfigurable analog implementations of piecewise linear spiking neuron models using second generation current conveyor (CCII) building blocks. With the same topology and circuit elements, without W/L modification which is impossible after circuit fabrication, these circuits can produce different behaviors, similar to the(More)
This study presents a cellular-based mapping for a special class of dynamical systems for embedding neuron models, by exploiting an efficient memristor crossbar-based circuit for its implementation. The resultant reconfigurable memristive dynamical circuit exhibits various bifurcation phenomena, and responses that are characteristic of dynamical systems.(More)
—The Izhikevich neuron model reproduces the spiking and bursting behaviour of certain types of cortical neurons. This model has a second order non-linearity that makes it difficult to implement in hardware. We propose a simplified version of the model that has a piecewise-linear relationship. This modification simplifies the hardware implementation but(More)