Search Results - "Bavandpour, Mohammad"

A generalized analog implementation of piecewise linear neuron models using CCII building blocks by Soleimani, Hamid, Ahmadi, Arash, Bavandpour, Mohammad, Sharifipoor, Ozra

“…This paper presents a set of reconfigurable analog implementations of piecewise linear spiking neuron models using second generation current conveyor (CCII)…”
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Energy-Efficient Moderate Precision Time-Domain Mixed-Signal Vector-by-Matrix Multiplier Exploiting 1T-1R Arrays by Sahay, Shubham, Bavandpour, Mohammad, Mahmoodi, Mohammad Reza, Strukov, Dmitri

“…The emerging mobile devices in the era of Internet-of-Things (IoT) require a dedicated processor to enable computationally intensive applications such as…”
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aCortex: An Energy-Efficient Multipurpose Mixed-Signal Inference Accelerator by Bavandpour, Mohammad, Mahmoodi, Mohammad R., Strukov, Dmitri B.

“…We introduce "aCortex," an extremely energy-efficient, fast, compact, and versatile neuromorphic processor architecture suitable for the acceleration of a wide…”
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Digital Implementation of a Biological Astrocyte Model and Its Application by Soleimani, Hamid, Bavandpour, Mohammad, Ahmadi, Arash, Abbott, Derek

“…This paper presents a modified astrocyte model that allows a convenient digital implementation. This model is aimed at reproducing relevant biological…”
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Energy-Efficient Time-Domain Vector-by-Matrix Multiplier for Neurocomputing and Beyond by Bavandpour, Mohammad, Mahmoodi, Mohammad Reza, Strukov, Dmitri B.

“…We propose an extremely energy-efficient mixed-signal N × N vector-by-matrix multiplication (VMM) in a time domain. Multi-bit inputs/outputs are represented…”
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Efficient Mixed-Signal Neurocomputing Via Successive Integration and Rescaling by Bavandpour, Mohammad, Sahay, Shubham, Mahmoodi, Mohammad R., Strukov, Dmitri

“…The widespread and ever-increasing demand for performing in situ inference, signal processing, and other computationally intensive applications in mobile…”
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Biologically Inspired Spiking Neurons: Piecewise Linear Models and Digital Implementation by Soleimani, H., Ahmadi, A., Bavandpour, M.

“…There has been a strong push recently to examine biological scale simulations of neuromorphic algorithms to achieve stronger inference capabilities. This paper…”
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3D-aCortex: an ultra-compact energy-efficient neurocomputing platform based on commercial 3D-NAND flash memories by Bavandpour, Mohammad, Sahay, Shubham, Mahmoodi, Mohammad Reza, Strukov, Dmitri B

“…We first propose an ultra-compact energy-efficient time-domain vector-by-matrix multiplier (VMM) based on commercial 3D-NAND flash memory structure. The…”
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Mixed-Signal Vector-by-Matrix Multiplier Circuits Based on 3D-NAND Memories for Neurocomputing by Bavandpour, Mohammad, Sahay, Shubham, Mahmoodi, Mohammad Reza, Strukov, Dmitri

“…We propose an extremely dense, energy-efficient mixed-signal vector-by-matrix-multiplication (VMM) circuits based on the existing 3D-NAND flash memory blocks,…”
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Toward Efficient Mixed-signal Neural Processors Using Non-volatile Memory Devices by Bavandpour, Mohammad

“…Recently, availability of big data and enormous processing power along with maturing of the applied algorithms, especially for deep learning, have led to a…”
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Generalized reconfigurable memristive dynamical system (MDS) for neuromorphic applications by Bavandpour, Mohammad, Soleimani, Hamid, Linares-Barranco, Bernabé, Abbott, Derek, Chua, Leon O

“…This study firstly presents (i) a novel general cellular mapping scheme for two dimensional neuromorphic dynamical systems such as bio-inspired neuron models,…”
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Networked Adaptive Non-linear Oscillators: A Digital Synthesis and Application by Maleki, Mohammad Ali, Ahmadi, Arash, Makki, Seyed Vahab Al-Din, Soleimani, Hamid, Bavandpour, Mohammad

“…This paper presents a digital hardware implementation of a frequency adaptive Hopf oscillator along with investigation on systematic behavior when they are…”
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A 2T-1R Cell Array with High Dynamic Range for Mismatch-Robust and Efficient Neurocomputing by Sahay, Shubham, Bavandpour, Mohammad, Mahmoodi, Mohammad Reza, Strukov, Dmitri

“…Dedicated neuromorphic engines have become indispensable to perform resource-intensive computations involving high-dimensional data on mobile platforms in this…”
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3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories by Bavandpour, Mohammad, Sahay, Shubham, Mahmoodi, Mohammad Reza, Strukov, Dmitri B

“…The first contribution of this paper is the development of extremely dense, energy-efficient mixed-signal vector-by-matrix-multiplication (VMM) circuits based…”
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Energy-Efficient Moderate Precision Time-Domain Mixed-signal Vector-by-Matrix Multiplier Exploiting 1T-1R Arrays by Sahay, Shubham, Bavandpour, Mohammad, Mahmoodi, Mohammad Reza, Strukov, Dmitri

“…The emerging mobile devices in this era of internet-of-things (IoT) require a dedicated processor to enable computationally intensive applications such as…”
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Mixed-Signal Neuromorphic Processors: Quo Vadis? by Bavandpour, Mohammad, Mahmoodi, Mohammad Reza, Sahay, Shubham, Strukov, Dmitri B.

“…This paper outlines different design options and most suitable memory devices for implementing dense vector-by-matrix multiplication operation, the key…”
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Energy-Efficient Time-Domain Vector-by-Matrix Multiplier for Neurocomputing and Beyond by Bavandpour, Mohammad, Mahmoodi, Mohammad Reza, Strukov, Dmitri B

“…We propose an extremely energy-efficient mixed-signal approach for performing vector-by-matrix multiplication in a time domain. In such implementation,…”
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Spiking neuro-fuzzy clustering system and its memristor crossbar based implementation by Bavandpour, Mohammad, Bagheri-Shouraki, Saeed, Soleimani, Hamid, Ahmadi, Arash, Linares-Barranco, Bernabé

“…This study proposes a spiking neuro-fuzzy clustering system based on a novel spike encoding scheme and a compatible learning algorithm. In this system, we…”
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Neural dynamics and bifurcation analysis of piecewise linear neuron models by Soleimani, Hamid, Bavandpour, Mohammad, Ahmadi, Arash, Abbott, Derek

“…In this paper we study the neural dynamics and bifurcation analysis of easily implementable piecewise linear (PWL) spiking neuron models with membrane…”
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Biologically Inspired Spiking Neurons : Piecewise Linear Models and Digital Implementation by Soleimani, Hamid, Ahmadi, Arash, Bavandpour, Mohammad

“…IEEE Transactions On Circuits And Systems I: Regular Papers, Vol. 59, NO. 12, December 2012 There has been a strong push recently to examine biological scale…”
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