Vision is the primary sense of many animals and much is known about how vision is processed in the mammalian nervous system. One distinct property of the primary visual cortex is a highly organized pattern of sensitivity to location and orientation of objects in the visual field. But how did we learn this? An important tool is the ability to design experiments to map out the structure and response of a system such as vision. In this activity, students learn about the visual system and then conduct a model experiment to map the visual field response of a Panoptes robot. (In Greek mythology, Argus Panoptes was the "all-seeing" watchman giant with 100 eyes.) A simple activity modification enables a true black box experiment, in which students do not directly observe how the visual system is configured, and must match the input to the output in order to reconstruct the unseen system inside the box.

Learn about findings from the Cincinnati Lead Study concerning the effects of lead in the bones, the brain, and elsewhere in the body-especially in children and pregnant women-in this video from NOVA: Poisoned Water. Researcher and study investigator Kim Cecil explains how lead tricks the body into thinking it's calcium, hiding in bones and in the brain, where it disrupts vital signaling between neurons. Lead can impact brain development, resulting in shrinkage or volume loss of brain tissue in areas responsible for decision making, attention, planning, and more. Lead poisoning can also be passed down from a pregnant mother exposed to lead to her fetus. [2:29]

Building on their understanding of graphs, students are introduced to random processes on networks. They walk through an illustrative example to see how a random process can be used to represent the spread of an infectious disease, such as the flu, on a social network of students. This demonstrates how scientists and engineers use mathematics to model and simulate random processes on complex networks. Topics covered include random processes and modeling disease spread, specifically the SIR (susceptible, infectious, resistant) model.

Psychology is designed to meet scope and sequence requirements for the single-semester introduction to psychology course. The book offers a comprehensive treatment of core concepts, grounded in both classic studies and current and emerging research. The text also includes coverage of the DSM-5 in examinations of psychological disorders. Psychology incorporates discussions that reflect the diversity within the discipline, as well as the diversity of cultures and communities across the globe.Senior Contributing AuthorsRose M. Spielman, Formerly of Quinnipiac UniversityContributing AuthorsKathryn Dumper, Bainbridge State CollegeWilliam Jenkins, Mercer UniversityArlene Lacombe, Saint Joseph's UniversityMarilyn Lovett, Livingstone CollegeMarion Perlmutter, University of Michigan

By the end of this section, you will be able to:

Explain the functions of the spinal cord
Identify the hemispheres and lobes of the brain
Describe the types of techniques available to clinicians and researchers to image or scan the brain

Students observe and test their reflexes, including the (involuntary) pupillary response and (voluntary) reaction times using their dominant and non-dominant hands, as a way to further explore how reflexes occur in humans. They gain insights into how our bodies react to stimuli, and how some reactions and body movements are controlled automatically, without conscious thought. Using information from the associated lesson about how robots react to situations, including the stimulus-to-response framework, students see how engineers use human reflexes as examples for controls for robots.

Students learn about human reflexes, how our bodies react to stimuli and how some body reactions and movements are controlled automatically, without thinking consciously about the movement or responses. In the associated activity, students explore how reflexes work in the human body by observing an involuntary human reflex and testing their own reaction times using dominant and non-dominant hands. Once students understand the stimulus-to-response framework components as a way to describe human reflexes and reactions in certain situations, they connect this knowledge to how robots can be programmed to conduct similar reactions.

Students continue to build a rigorous background in human sensors and their engineering equivalents by learning about electronic touch, light, sound and ultrasonic sensors that measure physical quantities somewhat like eyes, ears and skin. Specifically, they learn about microphones as one example of sound sensors, how sounds differ (intensity, pitch) and the components of sound waves (wavelength, period, frequency, amplitude). Using microphones connected to computers running (free) Audacity® software, student teams experiment with machine-generated sounds and their own voices and observe the resulting sound waves on the screen, helping them to understand that sounds are waves. Students take pre/post quizzes, complete a worksheet and watch two short online videos about "seeing" sound.

Video shows how color vision works by following a beam of sunlight as it bounces off a beach ball and enters a human eye. But our eyes are just the beginning the real star of the story is the brain. [5:30]

Listen as Dr. Perry explains several easy-to-implement educator strategies to address challenging behaviors in the classroom and impact students' social, emotional and academic functioning. [7:24]

Learn from Dr. Perry about the impact of stress on students and teachers, and how creating a safe, secure environment is critical to allowing students to reach their full learning potential. [5:39]

Learn how students and teachers can often impact each other's moods and brain function and find effective strategies that help keep students and adults calm and regulated, decreasing behavioral challenges and improving academic engagement. [8:12]

Listen as Dr. Perry describes the neurosequential model and its significance on how we interact with our students, our own children and each other. [7:03]

Listen as Dr. Perry explains the important role relationships have in learning, and learn practical ways to make true empathetic connections with students in the school setting. [7:03]

With the challenge to program computers to mimic the human reaction after touching a hot object, students program LEGO® robots to "react" and move back quickly once their touch sensors bump into something. By relating human senses to electronic sensors used in robots, students see the similarities between the human brain and its engineering counterpart, the computer, and come to better understand the functioning of sensors in both applications. They apply an understanding of the human "stimulus-sensor-coordinator-effector-response" framework to logically understand human and robot actions.

Student pairs first act out the instructions a robot is given with one person providing instructions and the other person following the instructions. This activity helps students understand how robots are programmed and with what type of precision commands must be given. Then students program LEGO MINDSTORMS(TM) NXT taskbots to navigate a simple maze. The goal is to teach students that robot computers simply follow directions exactly as they are given, thus one must be very clear and logical with programming instructions.

This activity helps students understand how a LEGO MINDSTORMS(TM) NXT robot moves using motors and wheels. Then students relate the concepts of decision-making actuation and motion in humans to their parallels in mechanized robots, and understand the common themes associated with movement.

Created for all students and teachers who would like to learn more about the nervous system, this extensive University of Washington site offers information, resources, games, and activities galore. Offers dozens of links to related sites.