3 papers
cs.CL2025
Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces
Michael Pichat, William Pogrund, Paloma Pichat +6
The polysemantic nature of synthetic neurons in artificial intelligence language models is currently understood as the result of a necessary superposition of distributed features w…
q-bio.NC2024
Neuropsychology and Explainability of AI: A Distributional Approach to the Relationship Between Activation Similarity of Neural Categories in Synthetic Cognition
Michael Pichat, Enola Campoli, William Pogrund +7
We propose a neuropsychological approach to the explainability of artificial neural networks, which involves using concepts from human cognitive psychology as relevant heuristic re…
q-bio.NC2024
Neuropsychology of AI: Relationship Between Activation Proximity and Categorical Proximity Within Neural Categories of Synthetic Cognition
Michael Pichat, Enola Campoli, William Pogrund +7
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 neur…