We investigate how the population nonlinearities resulting from lateral inhibition and
thresholding in sparse coding networks influence neural response selectivity and …

Abstract Point-of-Care Ultrasound (POCUS) refers to clinician-performed and interpreted
ultrasonography at the patient's bedside. Interpreting these images requires a high level of …

Point-of-Care Ultrasound (POCUS) is the practice of clinicians conducting and interpreting
ultrasound scans right at the patient's bedside. However, the expertise needed to interpret …

A comprehensive analysis and simulation of two memristor-based neuromorphic
architectures for nuclear radiation detection is presented. Both scalable architectures retrofit …

The locally competitive algorithm (LCA) can solve sparse coding problems across a wide
range of use cases. Recently, convolution-based LCA approaches have been shown to be …

We compare the robustness of image classifiers based on state-of-the-art Deep Neural
Networks (DNNs) with classifiers based on a model of cortical development using a single …

Just a few years ago, most vision-language modeling techniques consisted of individual
processing branches for each modality along with a fusion layer to combine them. While the …

We introduce subspace locally competitive algorithms (SLCAs), a family of novel network
architectures for modeling latent representations of natural signals with group sparse …

Although state-of-the-art Convolutional Neural Networks (CNNs) are often viewed as a
model of biological object recognition, they lack many computational and architectural motifs …

We compare the robustness of image classifiers based on state-of-the-art Deep Neural
Networks (DNNs) with classifiers based on a model of cortical development using a single …