Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data. - Shaul Druckmann; Thomas K. Berger; Sean L. Hill; Felix Schürmann; Henry Markram; Idan Segev (Biol. Cybern., 2008)

Over-complete representations on recurrent neural networks can support persistent percepts. - Shaul Druckmann; Dmitri B. Chklovskii (NIPS, 2010)

Effective Stimuli for Constructing Reliable Neuron Models. - Shaul Druckmann; Thomas K. Berger; Felix Schürmann; Sean L. Hill; Henry Markram; Idan Segev (PLoS Comput. Biol., 2011)

A mechanistic model of early sensory processing based on subtracting sparse representations. - Shaul Druckmann; Tao Hu 005; Dmitri B. Chklovskii (NIPS, 2012)

Evolutionary Algorithms. - Shaul Druckmann (Encyclopedia of Computational Neuroscience, 2014)

Robust neuronal dynamics in premotor cortex during motor planning. - Nuo Li; Kayvon Daie; Karel Svoboda; Shaul Druckmann (Nat., 2016)

Corrigendum: Robust neuronal dynamics in premotor cortex during motor planning. - Nuo Li; Kayvon Daie; Karel Svoboda; Shaul Druckmann (Nat., 2016)

Multiplicative updates for optimization problems with dynamics. - Abbas Kazemipour; Behtash Babadi; Min Wu 001; Kaspar Podgorski; Shaul Druckmann (ACSSC, 2017)

Nonlinear Dimensionality Reduction Via Polynomial Principal Component Analysis. - Abbas Kazemipour; Shaul Druckmann (GlobalSIP, 2018)

No Spurious Local Minima in Deep Quadratic Networks. - Abbas Kazemipour; Brett W. Larsen; Shaul Druckmann (CoRR, 2020)

A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology. - Ziqiang Wei; Bei-Jung Lin; Tsai-Wen Chen; Kayvon Daie; Karel Svoboda; Shaul Druckmann (PLoS Comput. Biol., 2020)

Towards a more general understanding of the algorithmic utility of recurrent connections. - Brett W. Larsen; Shaul Druckmann (PLoS Comput. Biol., 2022)

Unraveling the Entangled Brain: How Do We Go About It? - Shaul Druckmann; Nicole C. Rust (J. Cogn. Neurosci., 2023)

A Cross-Modal Approach to Silent Speech with LLM-Enhanced Recognition. - Tyler Benster; Guy H. Wilson; Reshef Elisha; Francis R. Willett; Shaul Druckmann (CoRR, 2024)

Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning. - Feng Chen 046; Allan Raventós; Nan Cheng; Surya Ganguli; Shaul Druckmann (CoRR, 2025)