Shaul Druckmann

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 9

Top Topics

Optimization Problems

Nonlinear Dimensionality Reduction

Neurodegenerative Diseases

Principal Components Analysis

Top Venues

PLoS Comput. Biol.

Publications

Tyler Benster, Guy H. Wilson, Reshef Elisha, Francis R. Willett, Shaul Druckmann
A Cross-Modal Approach to Silent Speech with LLM-Enhanced Recognition. CoRR (2024)
Shaul Druckmann, Nicole C. Rust
Unraveling the Entangled Brain: How Do We Go About It? J. Cogn. Neurosci. 35 (3) (2023)
Brett W. Larsen, Shaul Druckmann
Towards a more general understanding of the algorithmic utility of recurrent connections. PLoS Comput. Biol. 18 (6) (2022)
Abbas Kazemipour, Brett Larsen, Shaul Druckmann
No Spurious Local Minima in Deep Quadratic Networks. CoRR (2020)
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)
Abbas Kazemipour, Shaul Druckmann
Nonlinear Dimensionality Reduction Via Polynomial Principal Component Analysis. GlobalSIP (2018)
Abbas Kazemipour, Behtash Babadi, Min Wu, Kaspar Podgorski, Shaul Druckmann
Multiplicative updates for optimization problems with dynamics. ACSSC (2017)
Nuo Li, Kayvon Daie, Karel Svoboda, Shaul Druckmann
Robust neuronal dynamics in premotor cortex during motor planning. Nat. 532 (7600) (2016)
Nuo Li, Kayvon Daie, Karel Svoboda, Shaul Druckmann
Corrigendum: Robust neuronal dynamics in premotor cortex during motor planning. Nat. 537 (7618) (2016)
Shaul Druckmann, Tao Hu, Dmitri B. Chklovskii
A mechanistic model of early sensory processing based on subtracting sparse representations. NIPS (2012)
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)
Shaul Druckmann, Dmitri B. Chklovskii
Over-complete representations on recurrent neural networks can support persistent percepts. NIPS (2010)
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) (2008)