mlsanityData to 14 Oct 2026

Neuropsychology of AI: Relationship Between Activation Proximity and Categorical Proximity Within Neural Categories of Synthetic Cognition

arXiv 2410.11868 ↗First posted 8 Oct 2024q-bio.NC cs.AIcited by 3

Not on the map. Why?

Abstract (arXiv)

Neuropsychology of artificial intelligence focuses on synthetic neural cog nition as a new type of study object within cognitive psychology. With the goal of making artificial neural networks of language models more explainable, this approach involves transposing concepts from cognitive psychology to the interpretive construction of artificial neural cognition. The human cognitive concept involved here is categorization, serving as a heuristic for thinking about the process of segmentation and construction of reality carried out by the neural vectors of synthetic cognition.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 8 of its 61 references that are in the map. First posted on arXiv 8 Oct 2024.

Builds on

8 of 61 references.

References · 8

  1. 2019What Does BERT Look At? An Analysis of BERT's Attentioncited by 1,003
  2. 2018Gradient Descent Finds Global Minima of Deep Neural Networkscited by 574
  3. 2023Explainability for Large Language Models: A Surveycited by 333
  4. 2018What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Modelscited by 124
  5. 2017Machine learning for neural decodingcited by 45
  6. 2023Evaluating Neuron Interpretation Methods of NLP Modelscited by 8
  7. 2023Cosine Similarity Knowledge Distillation for Individual Class Information Transfercited by 5
  8. 2024Psychology of Artificial Intelligence: Epistemological Markers of the Cognitive Analysis of Neural Networkscited by 5

Built on by

Cited by year

Citing papers per year: 2025: 3.

3 papers.