Vision-dependent behavior is a form of behavior that relies on visual information. It is most common among animals but can also be found in humans. Animals usually rely on their vision, either in the form of clearly perceiving their surroundings or responding to visual stimuli, to aid them in their day-to-day living. In humans, vision-dependent behavior can manifest in a variety of ways. An example of this is learning a new skill. Many humans rely on visual clues to help them understand the concept they are trying to learn. This visual information can be in the form of diagrams, video or even text that helps a person to interpret what they are seeing and make sense of it. Vision is also important in helping humans evaluate their environment. The ability to see details about the physical environment is what allows humans to make informed decisions and respond appropriately. For example, when a person sees a potentially dangerous situation they can take measures to protect themselves such as looking away or moving away from the area. In terms of animal behavior, vision-dependent behavior can be observed when animals are foraging for food. By being able to visually analyze their environment they can decide on the best object to consume and also recognize potential predators. Animals also use vision-dependent behavior when they interact with members of the same species. For example, they can use visual cues to figure out the dominance hierarchy within their group.
Title : A case of vile vindictive primary CNS vasculitis
George Diaz, Memorial Healthcare Systems, United States
Title : Novel important cellular responses, signaling mechanisms and therapeutic options in vascular dementia
Yong Xiao Wang, Albany Medical College, United States
Title : The role of beliefs, perception, and behavioural patterns in the evolution of psychophysical disorders
Ken Ware, NeuroPhysics Therapy Institute and Research Centre, Australia
Title : A multiscale systems biology framework integrating ODE-based kinetics and MD-derived structural affinities to model mBDNF–proBDNF-mediated bifurcation dynamics in CNS neurotrophin signaling
Krishna Moorjani, Boston University, United States
Title : A multiscale systems biology framework integrating ODE-based kinetics and MD-derived structural affinities to model mBDNF–proBDNF-mediated bifurcation dynamics in CNS neurotrophin signaling
Abhay Murthy, Boston University, United States
Title : A multiscale systems biology framework integrating ODE-based kinetics and MD-derived structural affinities to model mBDNF–proBDNF-mediated bifurcation dynamics in CNS neurotrophin signalling
Ethan Liu, Boston University, United States