Cognitive Functions of the Brain: Perception, Attention and Memory
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Abstract (arXiv)
This is a follow-up tutorial article of [17] and [16], in this paper, we will introduce several important cognitive functions of the brain. Brain cognitive functions are the mental processes that allow us to receive, select, store, transform, develop, and recover information that we've received from external stimuli. This process allows us to understand and to relate to the world more effectively. Cognitive functions are brain-based skills we need to carry out any task from the simplest to the most complex. They are related with the mechanisms of how we learn, remember, problem-solve, and pay attention, etc. To be more specific, in this paper, we will talk about the perception, attention and memory functions of the human brain. Several other brain cognitive functions, e.g., arousal, decision making, natural language, motor coordination, planning, problem solving and thinking, will be added to this paper in the later versions, respectively. Many of the materials used in this paper are from wikipedia and several other neuroscience introductory articles, which will be properly cited in this paper. This is the last of the three tutorial articles about the brain. The readers are suggested to read this paper after the previous two tutorial articles on brain structure and functions [17] as well as the brain basic neural units [16].
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 May 2019.
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Citing papers per year: 2024: 1; 2025: 3; 2026: 1.
5 papers.
- 2026Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Modelscited by 22
- 2025Neural Brain: A Neuroscience-inspired Framework for Embodied Agentscited by 10
- 2024JoPA:Explaining Large Language Model's Generation via Joint Prompt Attributioncited by 6
- 2025SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decodingcited by 0
- 2025Exploring Core and Periphery Precepts in Biological and Artificial Intelligence: An Outcome-Based Perspectivecited by 0
- 2026Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models20 Jan 2026
- 2025Exploring Core and Periphery Precepts in Biological and Artificial Intelligence: An Outcome-Based Perspective7 Jul 2025
- 2025Neural Brain: A Neuroscience-inspired Framework for Embodied Agents12 May 2025
- 2025SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding9 Mar 2025
- 2024JoPA:Explaining Large Language Model's Generation via Joint Prompt Attribution30 May 2024