Curriculum

Overview of differences computational science

Email

byron_johnson@ucsb.edu

Summary

Vision science is an umbrella term involving work from neuroscience, psychophysics, cognitive science, and ophthalmology to understand how we see or “perceive” our environment. Reading this sentence involves a significant amount of processing power, and our visual system is well developed for maintaining attention in a changing environment. Our knowledge of human vision is often applied to artificial vision, specifically for face/object recognition, medical imaging, autonomous vehicles, and more.

Relation to Neurocomputation

Getting a person, animal, or robot to see something and then recording what they saw is much easier said than done. Where exactly do we look when we look at a face? How is it easy for us to identify a friend among a crowd of people? Does everyone see the same color red? Recording eye movements over time is a lot of data. Image processing techniques can also be applied to alter or enhance an image and is also a lot of data. New technologies such as AR/VR offer up new opportunities for visual research. It is also important to understand what happens when sight is impaired, especially as more people are at increased risk of vision loss as they age.

Potential Student Research Plan for students working with Bryon* *All Student tasks should be completed prior to that week’s meeting:

Week

Type

Byron

Students

1

Presentation

o   Icebreaker

o   Expectations for quarter

o   Attend meeting

Week

Type

Byron

Students

2

Discussion

o   How is perception related to psychology?

o   Discuss how student articles relate to their interest

o   Schedule best time for meeting

o   Preference for zoom or in person

o   Brainstorm ideas -> find one article published after 2015 related to interest

Week

Type

Byron

Students

3

Presentation

o   Intro to R part 1 importing data and removing blanks

o   Download R and R studio

Week

Type

Byron

Students

4

Discussion

o   Best practices for reading articles

o   Discuss insights and limitations of papers found -> suggest alternative

o   Connected Papers

o   Scribbr

o   Sheets all ready

Week

Type

Byron

Students

5

Presentation

o   Intro to R Part 2 analysis and visualization

 

Week

Type

Byron

Students

6

Discussion

o   Provide feedback on presentation and suggest ideas

o   Summarize 2 papers related to your interest in 10 minutes

o   Pick three most important key words and talk about what needs to change

o   5 minutes for questions and feedback

Week

Type

Byron

Students

7

Presentation

o   Basics of Eye Tracking

o   What area of your research involves large amounts of data?

Week

Type

Byron

Students

8

Discussion

o   Designing a study and forming a hypothesis

o   Outline experiment from beginning to end

Week

Type

Byron

Students

9

Presentation

o   Potential opportunities and labs for experience

o   Rough draft of resume/CV

o   Cover Letter practice

Research Commitment:

Curriculum

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