Shaul Druckmann

This study identifies Taqpep as a conserved mediator of periodic patterning in mammalian tissues, showing its role in both skin and intestinal development through mutant mouse models.

The paper identifies directional elements in brain dynamics that encode causal control hierarchies and show robustness to neural state manipulations.

The paper shows that premotor cortex uses a compositional neural geometry to plan words by combining phoneme representations, enabling efficient planning of novel sequences.

This study shows rats use hierarchical composition to construct adaptive action sequences in an open-ended setting, with prefrontal neural representations following a universal geometric format.

This paper shows recurrent neural networks can improve occluded object recognition by using occluder information to 'explain-away' occlusions, as demonstrated through computational models and human experiments.

This study shows that adolescent mice have less accurate and slower sound processing in auditory cortex during a difficult auditory discrimination task compared to adults, due to immature cortical representations and weaker cognitive control.

The paper describes a structured neural representation in rat prefrontal cortex that forms cognitive graphs for abstract state sequences during unguided exploration.

The paper studies neural encoding of inner speech in motor cortex and shows it can be decoded, but also identifies a neural dimension that can prevent unintentional decoding of private thoughts.

This paper identifies a recurrent neural circuit in Drosophila that enhances contrast of moving edges by deblurring visual inputs through temporal processing.

The paper shows how two cell types in Drosophila combine head direction and goal signals to produce motor commands for navigation.

The paper records brain-wide neural activity in mice during a memory-guided task, showing distributed coding of choice and action across brain regions.

The paper investigates neural dynamics in the rodent motor cortex during vocal production, showing temporal scaling of premotor firing patterns enables vocal flexibility.

The paper maps neural activity associated with walking across the entire Drosophila brain, identifying global and clustered signals linked to locomotion and future movement anticipation.

The paper identifies neural activity patterns in Drosophila that predict future turning directions before movement, suggesting internal motor planning.

This paper demonstrates a high-performance speech neuroprosthesis that achieves low word error rates and high decoding speeds using intracortical recordings from a person with ALS.

The paper shows that feedforward amplification in recurrent neural networks explains paradoxical neural coding in motor cortex, where early low-selectivity activity influences behavior more than late high-selectivity activity.

This study maps movement-related activity across the brain in mice, finding systematic differences in signal strength and encoding structures across regions.

The paper introduces a platform to classify chemical cues by their chemosensory valence in C. elegans, identifying 37 plant small molecules that attract or repel wild-type worms.

This paper introduces a hidden Markov model for unsupervised recalibration of intracortical brain-computer interfaces, showing improved performance over long-term use.

The paper demonstrates that the enteric nervous system is organized into circumferential stripes with regionally distinct development and neuronal composition.

The paper investigates the computational advantages of recurrent networks by studying connectedness tasks and generalizing tag propagation algorithms.

The paper identifies two cell types in Drosophila that encode body-centric movement signals and shows how they transform these signals into world-centric coordinates for navigation.

The paper uses targeted photostimulation in mice to investigate neural circuits underlying short-term memory, revealing recurrent interactions and modular organization in the anterior-lateral motor cortex.

This study decodes 39 English phonemes from neural signals in the dorsal precentral gyrus using intracortical electrode arrays, achieving 33.9% classification accuracy with a recurrent neural network.

The paper compares neuronal population dynamics measured via calcium imaging and electrophysiology, finding discrepancies that are partially resolved by spike inference algorithms and highlighting the value of forward modeling.

The paper records neural activity in the motor cortex of people with paralysis during speech and non-speaking movements, showing that neurons modulate during speech and revealing common neural dynamics between speech and arm movements.

This paper introduces a two-photon imaging technique that achieves high-speed, high-resolution imaging of neural activity in mice at over 1 kHz frame rates.

The paper analyzes neural population dynamics in mouse frontal cortex during decision-making to reveal structure predicting behavioral variability.

The paper develops multiplicative update rules for optimizing convex objectives with nonnegativity constraints and applies them to signal processing tasks using neuronal calcium imaging and electrophysiology data.