Learning in neural systems relies on forming associative memories through changes in synaptic connections, enabling information retrieval via learned associations. This t [...]

This research presents biologically inspired visual models and algorithms for automatic part extraction and object recognition from gray-scale images with approximate rot [...]

Safety champions who are best positioned to diffuse safety behaviors are commonly used in healthcare programs as a tactic to advance safety and quality improvement goals [...]

Designing synthetic genes for heterologous expression is a keystone of synthetic biology. In protein sequences - as there are 61 sense codons but only 20 standard amino a [...]

According to the World Health Organization (WHO) over 5.5 million people across the world have died due to SARS-CoV-2. Efficiently and accurately diagnosing people with C [...]

Next generation sequencing (NGS) and single-cell sequencing technologies have enabled unparalleled resolution of the cell's molecular machinery; however, gleaning accurat [...]

This thesis presents a suite of deep learning frameworks designed to address key challenges in the analysis of Electron Microscopy (EM) images of cancer cells, which are [...]

Schizophrenia (SCZ) is a complex neuropsychiatric disorder thought to arise from an interplay of environmental and genetic risk factors. The presentation of disease sympt [...]