| Year |
Citation |
Score |
| 2023 |
J Dominé CC, Braun L, Fitzgerald JE, Saxe AM. Exact learning dynamics of deep linear networks with prior knowledge. Journal of Statistical Mechanics (Online). 2023: 114004. PMID 38524253 DOI: 10.1088/1742-5468/ad01b8 |
0.557 |
|
| 2023 |
Sun W, Advani M, Spruston N, Saxe A, Fitzgerald JE. Organizing memories for generalization in complementary learning systems. Nature Neuroscience. PMID 37474639 DOI: 10.1038/s41593-023-01382-9 |
0.346 |
|
| 2023 |
Shamash P, Lee S, Saxe AM, Branco T. Mice identify subgoal locations through an action-driven mapping process. Neuron. PMID 37119818 DOI: 10.1016/j.neuron.2023.03.034 |
0.302 |
|
| 2023 |
Nelli S, Braun L, Dumbalska T, Saxe A, Summerfield C. Neural knowledge assembly in humans and neural networks. Neuron. PMID 36898375 DOI: 10.1016/j.neuron.2023.02.014 |
0.378 |
|
| 2023 |
Masís J, Chapman T, Rhee JY, Cox DD, Saxe AM. Strategically managing learning during perceptual decision making. Elife. 12. PMID 36786427 DOI: 10.7554/eLife.64978 |
0.504 |
|
| 2023 |
Flesch T, Saxe A, Summerfield C. Continual task learning in natural and artificial agents. Trends in Neurosciences. PMID 36682991 DOI: 10.1016/j.tins.2022.12.006 |
0.498 |
|
| 2023 |
Flesch T, Nagy DG, Saxe A, Summerfield C. Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals. Plos Computational Biology. 19: e1010808. PMID 36656823 DOI: 10.1371/journal.pcbi.1010808 |
0.344 |
|
| 2022 |
Saglietti L, Mannelli SS, Saxe A. An analytical theory of curriculum learning in teacher-student networks. Journal of Statistical Mechanics (Online). 2022: 114014. PMID 37817944 DOI: 10.1088/1742-5468/ac9b3c |
0.537 |
|
| 2022 |
Flesch T, Juechems K, Dumbalska T, Saxe A, Summerfield C. Orthogonal representations for robust context-dependent task performance in brains and neural networks. Neuron. 110: 4212-4219. PMID 36549271 DOI: 10.1016/j.neuron.2022.12.004 |
0.374 |
|
| 2022 |
Flesch T, Juechems K, Dumbalska T, Saxe A, Summerfield C. Orthogonal representations for robust context-dependent task performance in brains and neural networks. Neuron. PMID 35085492 DOI: 10.1016/j.neuron.2022.01.005 |
0.505 |
|
| 2020 |
Saxe A, Nelli S, Summerfield C. If deep learning is the answer, what is the question? Nature Reviews. Neuroscience. PMID 33199854 DOI: 10.1038/s41583-020-00395-8 |
0.607 |
|
| 2020 |
Advani MS, Saxe AM, Sompolinsky H. High-dimensional dynamics of generalization error in neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 132: 428-446. PMID 33022471 DOI: 10.1016/j.neunet.2020.08.022 |
0.416 |
|
| 2019 |
Richards BA, Lillicrap TP, Beaudoin P, Bengio Y, Bogacz R, Christensen A, Clopath C, Costa RP, de Berker A, Ganguli S, Gillon CJ, Hafner D, Kepecs A, Kriegeskorte N, Latham P, ... ... Saxe A, et al. A deep learning framework for neuroscience. Nature Neuroscience. 22: 1761-1770. PMID 31659335 DOI: 10.1038/S41593-019-0520-2 |
0.326 |
|
| 2019 |
Saxe AM, McClelland JL, Ganguli S. A mathematical theory of semantic development in deep neural networks. Proceedings of the National Academy of Sciences of the United States of America. PMID 31101713 DOI: 10.1073/Pnas.1820226116 |
0.544 |
|
| 2019 |
Saxe AM, Bansal Y, Dapello J, Advani M, Kolchinsky A, Tracey BD, Cox DD. On the information bottleneck theory of deep learning Journal of Statistical Mechanics: Theory and Experiment. 2019: 124020. DOI: 10.1088/1742-5468/Ab3985 |
0.379 |
|
| 2018 |
Zhang Y, Saxe AM, Advani MS, Lee AA. Energy–entropy competition and the effectiveness of stochastic gradient descent in machine learning Molecular Physics. 116: 3214-3223. DOI: 10.1080/00268976.2018.1483535 |
0.401 |
|
| 2011 |
Balci F, Simen P, Niyogi R, Saxe A, Hughes JA, Holmes P, Cohen JD. Acquisition of decision making criteria: reward rate ultimately beats accuracy. Attention, Perception & Psychophysics. 73: 640-57. PMID 21264716 DOI: 10.3758/S13414-010-0049-7 |
0.366 |
|
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