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Polygence Scholar2024
Denzel Dickson's profile

Denzel Dickson

Class of 2026New York, New York

About

Hello, my name is Denzel Dickson and my Polygence project is on understanding neurons and how they communicate using electrical charges and applying them to neural networks. I chose to work on this project because I believe that the brain and unpacking its boundless aspects is the key to human advancement. Dedicating time and energy into understanding it can lead us to breakthroughs thought to be impossible, forming bridges for those helpless. After this project is completed, I would like to participate in even more research with what I learned from my research with Polygence and participate in competitions that will help increase my connections and awareness of this field. Taking the time to quench my immense interest in the brain and understanding it more with Polygence's marvelous assistance will help pave the path for me to pursue and receive even more opportunities to lead such an auspicious field.

Projects

  • "Proposing a System of Neural Networks to Reinforce Learning in Adolescents: A Literature Review" with mentor Deborah (Aug. 30, 2024)

Denzel's Symposium Presentation

Project Portfolio

Proposing a System of Neural Networks to Reinforce Learning in Adolescents: A Literature Review

Started Oct. 24, 2023

Abstract or project description

Learning challenges among adolescents are widespread all across the United States, often stemming from the lack of accommodations for neurodevelopmental disorders and an inability to individualize learning to cater to each individual adolescents' learning needs. To combat this deficiency, neural networks-- computer models designed to mimic how the brain processes information to make decisions, have shown the potential to address this. These networks can adapt to the adolescent’s learning needs with minimal human intervention, as their learning methods evolve. These networks have also been used in diagnosing and monitoring neurodevelopmental disorders, offering insights into their learning development, the impact these disorders have on the adolescent, and advancing ways in which their learning needs are addressed. This study aims to explore the process in which neural networks can efficiently reinforce the learning of adolescents in a resourceful manner, drawing from various projects that have explored similar objectives, as well as highlighting the many limitations of using neural networks in this form of support.