Uri Hasson

The Information and Integration lab is currently  (2024)  offering internship opportunities in the areas of AI, Psychology and Cognitive Computational Neuroscience.  We are open to internships from Italy and abroad (remote) for 3-6 months.

In the area of Artificial Intelligence, we are developing methods for better prediction of human knowledge based on deep neural networks.  The lab is developing new supervised learning methods, based on soft labels and network pruning. Projects applicable for M.A students with background in AI, Data Science or Computer Science. 

Master's students in the lab were first authors or invovled in these recent publications:
Flechas, M. N., & Bao, W., Herbelot, A., & Hasson, U. (2023). Enhancing Interpretability using human similarity judgements to prune word embeddings. Full paper presented at BlackboxNLP (EMNLP2023).

Tarigopula, P., Fairhall, S., & Bavaresco, A., & Truong, N., & Hasson, U. (2023). Improved prediction of behavioral and neural similarity spaces using pruned DNNs. Neural Networks, 168.

Bao, W., & Hasson, U. (2024). Identifying and interpreting non-aligned human conceptual representations using language modeling. arXiv preprint arXiv:2403.06204.

Truong, N., Pesenti, D., & Hasson, U. (2024). Explaining Human Comparisons using Alignment-Importance Heatmaps. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 46).

Two Master's students also contributed to this recently granted Patent application
Metodo e mezzi per la produzione di sequenze a livelli richiesti di interessantezza / Hasson, Uri; Notaro, Giuseppe; Eperon, Alexander Charles Leslie; Sartorato, Nicola; Minati, Ludovico. - (2024).