The l1-regularized logistic regression (or sparse logistic regression) is a widely used method
for simultaneous classification and feature selection. Although many recent efforts have …

ON and OFF retinal ganglion cells (RGCs) display differences in their intrinsic
electrophysiology: OFF cells maintain spontaneous activity in the absence of any input …

This book provides a sound mathematical and technical perspective in functional and
structural retina models, presents evaluation metrics to assess those models, and provides …

Several spike train metrics have been proposed in the last years for the evaluation of neural
responses. In this letter, we perform deep statistical analysis on an important metric. This …

A primary goal in systems neuroscience is to understand how neural spike responses
encode information about the external world. A popular approach to this problem is to build …

This paper presents a novel training method for estimating the parameters of retina models,
such as integrate-and-fire (IF) or Poisson based. The presented models are constructed …

The advances in signal processing technology and the development of biocompatible
materials lead to the development of different types of new bioelectronic devices to …