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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp010c483n387
Title: Brain-Based Machine Learning Algorithms - Alexander Gaura
Authors: Gaura, Alexander
Advisors: Berry, Michael
Department: Mathematics
Certificate Program: Center for Statistics and Machine Learning
Class Year: 2020
Abstract: Traditional neural network models are based on ideas from neuroscience that have since become outdated. This paper investigates the performance of new neural network models that are based on modern neuroscience and compares their performance to other models on similar datasets. In particular, these models are useful for unsupervised learning, and differ most in how they receive input, their layering, and their learning rule which is based on Hebbian plasticity.
Type of Material: Princeton University Senior Theses
Language: en
Appears in Collections:Mathematics, 1934-2020
Aeronautical Engineering, 1945-1975

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