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pro vyhledávání: '"Zjajo A"'
Autor:
Amir Zjajo, Rene van Leuken
Simulation of brain neurons in real-time using biophysically-meaningful models is a pre-requisite for comprehensive understanding of how neurons process information and communicate with each other, in effect efficiently complementing in-vivo experime
Akademický článek
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Publikováno v:
4G Wireless Communication Networks ISBN: 9781003357247
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b32d3bb62549b8fc82440ec3ad354f4
https://doi.org/10.1201/9781003357247-22
https://doi.org/10.1201/9781003357247-22
Publikováno v:
Microscopy and Microanalysis. 27:738-740
Publikováno v:
Microscopy & Microanalysis; 2023 Supplement, p1856-1858, 3p
Autor:
Hongchu Du, Itai Matzkevich, Aram Rezikyan, Armin Zjajo, Michael Treacy, Rafal E. Dunin-Borkowski
Publikováno v:
Microscopy and Microanalysis. 27:1776-1777
Autor:
Amir Zjajo
Publikováno v:
BIBE
In this paper, we present neuromorphic system with built-in temporal control that allows the implementation of transient mechanisms and homeostatic regulation. Due to the interaction between conductance delay and plasticity rules, the network is form
Publikováno v:
Analog Integrated Circuits and Signal Processing. 98:477-488
Synaptic dynamics is of great importance in realizing biophysically accurate neural behaviors and efficient synaptic learning in neuromorphic integrated circuits. In this paper, we propose a current-based synapse structure with multi-compartment rece
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 25:1549-1562
This paper investigates the challenges of dark silicon that impede the performance and reliability of 3-D stacked multiprocessors. It presents a multipronged approach toward addressing the thermal issues arising from high-density integration in die s
Autor:
Amir Zjajo
Publikováno v:
IWCIA
In this paper, we examine electro-chemically accurate, multi-compartment, neurosynaptic computational elements, and analyze their complexity, accuracy, and flexibility in signal processing of a time-varying task. We evaluate distributed patterns of s