Brain-inspired models and their applications

Even though the contemporary artificial intelligence (AI) became a powerful tool in many areas and even in our everyday life, it still cannot outperform the human brain. The natural intelligence is a result of collaborative work of neural cell ensembles having much more elaborated functionality and connectivity than the artificial neural networks. The paper presents the basic working principles in the brain, neuromorphic computing inspired by them and their applications.

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Publication Details

Journal
Mathematics and Education in Mathematics
Published
2025-03-27
DOI
https://doi.org/10.55630/mem.2025.54.018-024
Primary Topic
Reinforcement Learning in Robotics
Type
article
Field-Weighted Citation Impact
0.00
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article

Brain-inspired models and their applications

Petia Koprinkova‐Hristova
Mathematics and Education in Mathematics
Reinforcement Learning in Robotics
article

Brain-inspired models and their applications

Petia Koprinkova‐Hristova
article en

Abstract

Even though the contemporary artificial intelligence (AI) became a powerful tool in many areas and even in our everyday life, it still cannot outperform the human brain. The natural intelligence is a result of collaborative work of neural cell ensembles having much more elaborated functionality and connectivity than the artificial neural networks. The paper presents the basic working principles in the brain, neuromorphic computing inspired by them and their applications.

Mathematics and Education in MathematicsVol. 54
Bulgarian Academy of Sciences (BG), Institute of Information and Communication Technologies (BG)
Openalex Percentile: Top 94%
Reinforcement Learning in Robotics
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