Karthik Balakrishnan

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The lasting effects of neuronal activity on brain development involve calcium-dependent gene expression. Using a strategy called transactivator trap, we cloned a calcium-responsive transactivator called CREST (for calcium-responsive transactivator). CREST is a SYT-related nuclear protein that interacts with adenosine 3',5'-monophosphate (cAMP) response(More)
Measurement and analysis of contact plug resistance variability. Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract—The(More)
The recent popularity of 3D IC technology stems from its enhanced performance capabilities and reduced wirelength. However, wire congestion and thermal issues are exacerbated due to the compact nature of these layered technologies. In this paper, we develop techniques to reduce the maximum temperature and wire congestion of 3D circuits without compromising(More)
This paper examines and compares several diierent approaches to the design of intelligent systems for diagnosis applications. These include expert systems or knowledge-based systems, truth or reason maintenance systems, case-based reasoning systems, and inductive approaches like decision trees, artiicial neural networks or connection-ist systems, and(More)
In this paper, we propose a new technique to accurately decompose process variation into two different components: (1) spatially correlated variation, and (2) uncorrelated random variation. Such variation decomposition is important to identify systematic variation patterns at wafer and/or chip level for process modeling, control and diagnosis. We(More)
Constructive learning algorithms ooer an approach to incremental construction of near-minimal ar-tiicial neural networks for pattern classiication. Examples of such algorithms include Tower, Pyramid, Upstart, and Tiling algorithms which construct multilayer networks of threshold logic units or, multi-layer perceptrons. These algorithms diier in terms of the(More)
—In this paper, we propose a new technique to achieve accurate decomposition of process variation by efficiently performing spatial pattern analysis. We demonstrate that the spatially correlated systematic variation can be accurately represented by the linear combination of a small number of templates. Based on this observation, an efficient sparse(More)
Artificial neural networks offer an attractive paradigm for the design of behavior and control systems in robots and autonomous agents for a variety of reasons, including: ability to adapt and learn, potential for resistance to noise, faults and component failures , potential for real-time performance in dynamic environments (through massive parallelism and(More)