A necessary ingredient for a quantitative theory of neural coding is appropriate “spike kinematics”: a precise description of spike trains. While summarizing experiments by complete spike time collections is clearly ...

Argument mining consists in the automatic identification of argumentative structures in texts. In this work we address the open question of whether discourse-level annotations can contribute to facilitate the identification ...

Ra̅ga motifs are the main building blocks of the melodic structures in Indian art music. Therefore, the discovery and characterization of such motifs is fundamental for the computational analysis of this music. We propose ...

The modern understanding of sleep is based on the classification of sleep into stages defined by their electroencephalography (EEG) signatures, but the underlying brain dynamics remain unclear. Here we aimed to move ...

Multi-electrode recordings of local field potentials (LFPs) provide the opportunity to investigate the spatiotemporal organization of neural activity on the scale of several millimeters. In particular, the phases of ...

The extraction of abstract rules and their generalization to new items has/nbeen proposed to be at the heart of higher cognitive functions such as/nlanguage. Research with animals has shown that various species can ...

In this paper we study a variational approach for filling in regions of missing data in two-dimensional and three-dimensional digital images. Applications of this technique include the restoration of old photographs and ...

The ubiquitous nature of communication in computer networks, firmly manifested in the Internet era, provided a context for the introduction of different collaborative tools widely accepted by the on-line community, such ...

Understanding recovery of consciousness and elucidating its underlying mechanism is believed to be crucial in the field of basic neuroscience and medicine. Ideas such as the global neuronal workspace (GNW) and the mesocircuit ...