The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Objective: Common biological measurements are in the form of noisy convolutions of signals of interest with possibly unknown and transient blurring kernels. Examples include EEG and calcium imaging data. Thus, signal deconvolution of these measurements is crucial in understanding the underlying biological processes. The objective of this paper is to develop fast and stable solutions for signal deconvolution...
We consider in this paper a discrete-time deterministic m-ary diffusion model over a strongly connected directed graph. The update rule is easy to state: let the vertices of the graph represent the agents and the edges represent the information flow; at every time step, each vertex updates its value to the maximum value held by its incoming neighbors at the last time step. The resulting system, defined...
In this paper, we consider linear state-space models with compressible innovations and convergent transition matrices in order to model spatiotemporally sparse transient events. We perform parameter and state estimation using a dynamic compressed sensing framework and develop an efficient solution consisting of two nested Expectation-Maximization (EM) algorithms. Under suitable sparsity assumptions...
We intend to understand how decentralized planning through local interactions can result in large-scale change from inactivity to global action cascades characteristic of social revolutions as well as innovation adoption. Building on the dynamic threshold model of threshold learning and collection action proposed in [1], this paper investigates the diffusion process in a number of canonical graph...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.