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Shaul Druckmann
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2020 – today
- 2024
- [i2]Tyler Benster, Guy H. Wilson, Reshef Elisha, Francis R. Willett, Shaul Druckmann:
A Cross-Modal Approach to Silent Speech with LLM-Enhanced Recognition. CoRR abs/2403.05583 (2024) - 2023
- [j7]Shaul Druckmann, Nicole C. Rust:
Unraveling the Entangled Brain: How Do We Go About It? J. Cogn. Neurosci. 35(3): 368-371 (2023) - 2022
- [j6]Brett W. Larsen, Shaul Druckmann:
Towards a more general understanding of the algorithmic utility of recurrent connections. PLoS Comput. Biol. 18(6) (2022) - 2020
- [j5]Ziqiang Wei, Bei-Jung Lin, Tsai-Wen Chen, Kayvon Daie, Karel Svoboda, Shaul Druckmann:
A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology. PLoS Comput. Biol. 16(9) (2020) - [i1]Abbas Kazemipour, Brett W. Larsen, Shaul Druckmann:
No Spurious Local Minima in Deep Quadratic Networks. CoRR abs/2001.00098 (2020)
2010 – 2019
- 2018
- [c4]Abbas Kazemipour, Shaul Druckmann:
Nonlinear Dimensionality Reduction Via Polynomial Principal Component Analysis. GlobalSIP 2018: 1336-1340 - 2017
- [c3]Abbas Kazemipour, Behtash Babadi, Min Wu, Kaspar Podgorski, Shaul Druckmann:
Multiplicative updates for optimization problems with dynamics. ACSSC 2017: 2025-2029 - 2016
- [j4]Nuo Li, Kayvon Daie, Karel Svoboda, Shaul Druckmann:
Robust neuronal dynamics in premotor cortex during motor planning. Nat. 532(7600): 459-464 (2016) - [j3]Nuo Li, Kayvon Daie, Karel Svoboda, Shaul Druckmann:
Corrigendum: Robust neuronal dynamics in premotor cortex during motor planning. Nat. 537(7618): 122 (2016) - 2014
- [r1]Shaul Druckmann:
Evolutionary Algorithms. Encyclopedia of Computational Neuroscience 2014 - 2012
- [c2]Shaul Druckmann, Tao Hu, Dmitri B. Chklovskii:
A mechanistic model of early sensory processing based on subtracting sparse representations. NIPS 2012: 1988-1996 - 2011
- [j2]Shaul Druckmann, Thomas K. Berger, Felix Schürmann, Sean L. Hill, Henry Markram, Idan Segev:
Effective Stimuli for Constructing Reliable Neuron Models. PLoS Comput. Biol. 7(8) (2011) - 2010
- [c1]Shaul Druckmann, Dmitri B. Chklovskii:
Over-complete representations on recurrent neural networks can support persistent percepts. NIPS 2010: 541-549
2000 – 2009
- 2008
- [j1]Shaul Druckmann, Thomas K. Berger, Sean L. Hill, Felix Schürmann, Henry Markram, Idan Segev:
Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data. Biol. Cybern. 99(4-5): 371-379 (2008)
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