IDENTIFYING LEARNING RULES FROM NEURAL NETWORK OBSERVABLES

von Nayebi, Aran
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 4 of 27 (2021)

FROM DEEP LEARNING TO MECHANISTIC UNDERSTANDING IN NEUROSCIENCE: THE STRUCTURE OF RETINAL PREDICTION

von Tanaka, Hidenori
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 11 of 20 (2020)

TWO ROUTES TO SCALABLE CREDIT ASSIGNMENT WITHOUT WEIGHT SYMMETNRY

von Kunin, Daniel
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 8 of 15 (2021)

LEARNING PHYSICAL GRAPH REPRESENTATIONS FROM VISUAL SCENES

von Bear, Daniel
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 8 of 27 (2021)

Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks

von Nayebi, Aran
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 15 of 36 (2022)

BRAIN-LIKE OBJECT RECOGNITION WITH HIGH-PERFORMING SHALLOW RECURRENT ANNS

von Kubilius, Jonas
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 17 of 20 (2020)