Animals have evolved sophisticated visual circuits to solve a vital inference problem:
detecting whether or not a visual signal corresponds to an object on a collision course. Such …

Artificial neural networks trained to solve sensory tasks can develop statistical
representations that match those in biological circuits. However, it remains unclear whether …

Competition for mates is a wide-spread phenomenon affecting individual reproductive
success. The ability of animals to adjust their behaviors in response to changing social …

State‐dependent modulation of sensory systems has been studied in many organisms and
is possibly mediated through neuromodulators such as monoamine neurotransmitters …

Appropriate and robust behavioral control in a noisy environment is important for the survival
of most organisms. Understanding such robust behavioral control has been an attractive …

Many sensory processing regions of the central brain undergo critical periods of experience‐
dependent plasticity. During this time ethologically relevant information shapes circuit …

Understanding sensorimotor neural circuits plays an important role in the study of behavioral
mechanisms. By virtue of a relatively simple brain structure and sophisticated locomotion …

Highlights•Genome science has addressed the mechanisms underlying environmental
adaptation.•Dark-fly is a unique organism for studying environmental adaptation.•The Dark …

Подавляющая часть эукариот подвержена старению, фундаментальному процессу
постепенного и приводящего к итоговой гибели организма накоплению нарушений в …

Recent years have witnessed a surge of problems lying at the intersection of statistics and
neuroscience. In this thesis, we explore various statistical and computational problems that …