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Biologically inspired computational neural models for motivated behavior, learning, and memory
Gribkova, Ekaterina Dmitrievna
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https://hdl.handle.net/2142/109340
Description
- Title
- Biologically inspired computational neural models for motivated behavior, learning, and memory
- Author(s)
- Gribkova, Ekaterina Dmitrievna
- Issue Date
- 2020-09-22
- Director of Research (if dissertation) or Advisor (if thesis)
- Gillette, Rhanor
- Doctoral Committee Chair(s)
- Gillette, Rhanor
- Committee Member(s)
- Gillette, Martha U
- Llano, Daniel A
- Mehta, Prashant G
- Department of Study
- Neuroscience Program
- Discipline
- Neuroscience
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- Ph.D.
- Degree Level
- Dissertation
- Date of Ingest
- 2021-03-05T21:36:49Z
- Keyword(s)
- Artificial Intelligence
- Behavior
- Computational Models
- Learning
- Memory
- Synaptic Plasticity
- Abstract
- The fields of artificial intelligence (AI) and machine learning have vastly expanded in the past decade, with a variety of modern applications, ranging from computer vision to language processing and medical diagnostics. While the majority of AI applications involve data classification, detection, and predictive modeling, fewer studies have explored the creation of motivated autonomous agents. The integration of neurobiological principles into AI, such as mechanisms involved in dopaminergic reward learning circuits, has been crucial for advancing more natural and biologically plausible forms of AI. The goal of this thesis is to introduce a set of biologically inspired models for motivated behavior, learning, and memory, that can be incorporated into artificially intelligent agents and networks. These models may also provide insights into the biological processes of episodic memory, aesthetics, and complex cognitive processes, as well as their evolution.
- Graduation Semester
- 2020-12
- Type of Resource
- Thesis
- Permalink
- http://hdl.handle.net/2142/109340
- Copyright and License Information
- Copyright 2020 Ekaterina Dmitrievna Gribkova
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