Abstract: This paper presents an all-digital background blind calibration technique for the capacitor mismatch problem in SAR ADCs. It utilizes the redundancy offered using a sub-radix-2 DAC ...

This work is done by OCR team in Clova AI powered by NAVER-LINE. NAVER-LINE is an Asian top internet company and develops Clova, a cloud-based AI-assistant platform. This repository is scheduled to be ...

Abstract: This research explores the application of chaotic systems in generating pseudo-random numbers for encryption protocols, offering a novel perspective on addressing the challenges posed by ...

Fluorescence-lifetime single molecule localization microscopy (FL-SMLM) adds the lifetime dimension to the spatial super-resolution provided by SMLM. Independent of intensity and spectrum, this ...

Divisive normalization is a ubiquitous computation commonly thought to be an implementation of the efficient coding principle. Despite empirical evidence that it reduces statistical redundancy present ...

Generating boxplot in MATLAB using the default function boxplot.m is a bit cumbersome due to the large number of required (and somewhat strict in terms of format) inputs. Here, I have written a ...

Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies frequently applied the spatial normalization on fMRI time series before the calculation of temporal features (here ...

Adapting neural representation to rapidly changing behavioural demands is a key challenge for the nervous system. Here, we demonstrate that the output of the primary olfactory area of the mouse, the ...

How neurons are selective for complex natural stimuli remains poorly understood, in part because standard statistical tools only identify one or two features of stimuli but not complete sets. Here, ...

Responses of neurons that integrate multiple sensory inputs are traditionally characterized in terms of a set of empirical principles. However, a simple computational framework that accounts for these ...