2 papers
cs.AI2026
Learning in Deep Networks under Dale's Constraint
Roy Abel, Shimon Ullman
Biologically plausible learning models aim to explain how neural circuits can implement effective learning under the constraints of real neurons. Although significant progress has…
cs.AI2026
Concepts Learned Visually by Infants Can Contribute to Visual Learning and Understanding in AI Models
Shify Treger, Shimon Ullman
Early in development, infants learn to extract surprisingly complex aspects of visual scenes. This early learning comes together with an initial understanding of the extracted conc…