9 papers · ranked by Valyu relevance
Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Denız Gündüz + 1 more
Channels Authors: ['Maximilian Egger' 'Rawad Bitar' 'Antonia Wachter-Zeh' 'Denız Gündüz' 'Nir Weinberger'] Abstract—Motivated by communication systems with constrained complexity, we consider the problem of input symbol selection for discrete memoryless channels (DMCs). Given a DMC, the goal is to find a subset of its…
Jasmine Lesner, Michael Beyeler
—Retinal prostheses restore limited visual perception, but low spatial resolution and temporal persistence make reading difficult. In sequential letter presentation, the afterimage of one symbol can interfere with perception of the next, leading to systematic recognition errors. Rather than relying on future hardware…
Rui Hu, Stephen M. Watt
In a variety of applications, such as handwritten mathematics and diagram labelling, it is common to have symbols of many different sizes in use and for the writing not to follow simple baselines. In order to understand the scale and relative positioning of individual characters, it is necessary to identify the…
Frank Julca-Aguilar, Nina S. T. Hirata
—Symbol detection techniques in online handwritten graphics (e.g. diagrams and mathematical expressions) consist of methods specifically designed for a single graphic type. In this work, we evaluate the Faster R-CNN object detection algorithm as a general method for detection of symbols in handwritten graphics. We…
Sourish Sarkar, Pranav Kumar Pandey, Sibsambhu Kar
—A method of finding and classifying various components and objects in a design diagram, drawing, or planning layout is proposed. The method automatically finds the objects present in a legend table and finds their position, count and related information with the help of multiple deep neural networks. The method is…
Paul Geser, Jitao David Zhang
Figures in biomedical publications often contain lists of gene symbols. Human intelligence and manual curation is required to recognize, extract, and validate the symbols in order to reuse them. The task is laborious, error prone, and amenable to automation. We introduce GeneOCR, a web-based software to recognize…
Kenneth J. Hayworth, Adam H. Marblestone
The thalamus appears to be involved in the flexible routing of information among cortical areas, yet the computational implications of such routing are only beginning to be explored. Here we create a connectionist model of how selectively gated cortico-thalamo-cortical relays could underpin both symbolic and…
Nicolas Langer, Erica J. Ho, Andreas Pedroni, Lindsay M. Alexander + 4 more
Neuropsychological test batteries provide normed assessments of cognitive performance across multiple functional domains. Although each test emphasizes a certain component of cognition, a poor score can reflect many possible processing deficits. Here we explore the use of simultaneous eye tracking and EEG to decompose…
Ceca Kraišniković, Wolfgang Maass, Robert Legenstein
The brain uses recurrent spiking neural networks for higher cognitive functions such as symbolic computations, in particular, mathematical computations. We review the current state of research on spike-based symbolic computations of this type. In addition, we present new results which show that surprisingly small…