Neuroscience Club

The focus will be on applying biological principles to the study of behavior in humans and animals (Behavioral neuroscience – commonly referred to as biopsychology )– and the brain mechanisms that underpin behavior. The goal of the club is to inspire excitement about and increase knowledge of neuroscience.

This club is open to high school students enrolled in Neuroscience or  AP Psychology that are  interested in the Neuroscience field.
 
Officers:
Liya Beyene
Joshua Newby
Darian Roberts
Keila Wegmeyer
 
Visit Central's Neuroscience Lab where students are conducting individual research measuring brainwaves with the MUSE EEG. Data is then cleaned and analyzed using MATLAB.

Brain & Language Lab

MTSU's Brain & Language Laboratory includes a 128-channel electroencephalogram (EEG) recording system as well as a Geodesic Photogrammetry System (EGI) that allows accurate an accurate estimation of the brain electrical sources.
..
Picture
 
In one project, reported in an article in MIT Technology Review, a team of neuroscientists and engineers are working to create a detailed map of the rat's brain and use the new knowledge to build the next generation of AI that works like the brain.
Inside the Moonshot Effort to Finally Figure Out the Brain
MIT Technology Review — Neuroscientists and artificial intelligence experts have joined forces to map the brain. Read More
 
But not everyone is convinced that a detailed map of brain connections is what it takes to understand the inner workings of the nervous system. In an article in Salon, two experts argue that extremely narrow approaches used in modern neuroscience may not help us see the big picture and understand the brain's higher-order functions, such as memory and learning.

Does Modern Neuroscience Help Us Understand Behavior?

Salon — Two experts argue that the field needs to move beyond its limited roots. Read More
A better understanding of AI, too, could help us decipher the brain. Artificially intelligent machines learn by sifting through massive amounts of data—thousands of dog images, for instance—to ultimately arrive at a general concept, such as "dog." However, how exactly they extract the concept from raw data is a mystery. If we crack open this black box, we might also understand how we learn. One theory is providing some clues:

This Theory Explains The Magic Leap from Examples to Generalized Learning

Quanta — "Information bottleneck" may unlock one of the greatest mysteries in both machine learning and our own brains. Read more
SPONSOR
Mr. Cowart

MEETING PLACE
Room 338

GRADE LEVELS
H.S. students curently taking or have taken AP Psychology or Neuroscience.