Hi everybody! Welcome to our first recorded lecture. In this video, we'll explore the
interdisciplinary nature of neuroscience. According to UCLA, neuroscience is defined as the interdisciplinary study of the nervous system with the ultimate goal of understanding brain and nervous system function and neurological disease at many levels. Like all of psychology, we often focus on the disease part, which we cover in detail in chapters 15 Neuropsychology and 16 Psychological Disorders. But as positive psychology has shown us, understanding healthy functioning is important, too. What changes in cognition can we expect during healthy aging?
When does stress produce normal effects and when should we worry about the effects of stress?
The neurosciences as a group covers a wide range of disciplines, including psychology, biology, chemistry, physics, and medicine.
Its levels of analysis range from the molecular to the behavioral. This is like Google Earth. We can zoom in to analyze the molecular building blocks of the brain and nervous system and then zoom way out to watch behavior.
Running alongside each of these levels of analysis is computational neuroscience,
or the use of computational models to understand and predict the behavior of living systems. Not only does this type of neuroscience form the basis of artificial intelligence and smart prosthetics, but it helps us understand how the brain and nervous system operate. For example, AI systems and the brain both require corrections for overfitting, or making superstitious connections between unrelated bits of data. Some people think that the weird content of dreams can help us to
prevent overfitting. Molecular neuroscientists ask questions about the molecules that make up the brain and nervous system, such as RNA and DNA and the proteins they produce. The cellular neuroscientist looks at the structure and function of the cells that make up the brain and nervous system, such as the differences between a motor neuron and a neuron found in the retina of the eye. The synaptic neuroscientist is interested in the communications that take place between cells
and might ask questions about how learning changes those processes. The network neuroscientist is interested in patterns of activity in the brain and nervous system. For example, we'll learn in Chapter 11 that a distinct network participates in daydreaming and that this network shows disturbances in Alzheimer's disease and a number of psychological disorders. Finally, we zoom out to the level that is the focus of this class--behavioral neuroscience. We're the
ones who have the most fun, in our opinion, as we attempt to find correlations between observable
behaviors and the underlying activity of the brain and nervous system. One of the key concepts in
behavioral neurosciences is its reciprocal nature. Biology can influence behavior, but just as
importantly, behavior can influence biology. How you think about the world, whether that glass is
half empty or full, can have profound effects on your neurobiology. Mindset is huge. To illustrate
this reciprocal relationship between biology and behavior, let's consider Cole et al., 2015.
These researchers found that perceived social isolation signaled the immune system to gear up
for bacteria, while perceived social connectivity signaled the immune system to gear up for viruses,
which as we know, love close contact. It is ironic that the social distancing and lockdowns
we experienced in covid-19 might have resulted in loneliness, which in turn would prevent
our immune systems from prioritizing protection against viruses just when we needed it the most.
So as we explore behavioral neuroscience in this course, we'll take advantage of all the
hard work done by neuroscientists in each level of analysis. You might find a favorite among
these as we proceed. Remind yourself that we're looking at a two-way, not a one-way street. Yes,
manipulating your biochemistry can make you feel different, but the way you think about the
world can also affect your biochemistry. This is powerful stuff and I hope you enjoy learning more.