Hillel Adesnik

The paper identifies a recurrent circuit between pyramidal cells and somatostatin interneurons in mouse V1 that mediates context-dependent figure/ground modulation.

The paper develops computational tools for rapid monosynaptic connectivity mapping in neural circuits using holographic stimulation and model-based compressed sensing.

The paper identifies a sparse set of neurons in the mouse visual cortex that mediate illusory contour inference through recurrent pattern completion.

The paper shows that feature-specific inhibitory connectivity in cortical circuits enhances the accuracy of visual representations by enabling completion or cancelation of activity patterns.

The paper shows that network activity, not individual neuron sensitivity, determines the impact of cortical ensembles on stimulus detection in mice.

The paper investigates spatial organization of orientation tuning in mouse visual cortex and identifies micro-clustered organization of orientation preference.

The paper develops balanced bidirectional optogenetics to alter neural temporal dynamics without affecting mean activity, showing that cortical temporal dynamics are causally required for sensory perception.

The paper introduces PhoRC, a method to remove photocurrent artifacts in optogenetic connectivity mapping data using constrained matrix factorization, improving the accuracy of synaptic connection detection.

The paper investigates how recurrent circuits in the primary visual cortex influence visual perception by analyzing the spatial arrangement and feature preferences of neuronal ensembles.

The paper introduces a statistical model of divisive normalization's effects on noise correlations in neural populations and validates it using mouse visual cortex data.

maskNMF improves demixing of dense calcium imaging data by denoising, sparsening, and using constrained non-negative matrix factorization to accurately recover neural activity.

This study uses optogenetic manipulations to distinguish instructive from permissive roles of brain circuits in visual detection, showing that midbrain regions can compensate for primary visual cortex loss.

The paper introduces a two-photon holographic mesoscope for high-resolution mapping of functional connectivity and causal interactions across brain areas.

This paper introduces Bayesian target optimisation to reduce off-target stimulation in optogenetics, showing improved precision in simulations and in vitro experiments.

The paper shows VIP neurons scale local gamma oscillation gain and suppress global gamma coherence based on stimulus properties and retinal image statistics.

The paper presents cryo-EM structures of ChRmine, a microbial channelrhodopsin, in lipid nanodiscs, revealing its trimeric architecture and structural basis for its unique optogenetic properties.

This paper engineers high-performance microbial opsins for precise spatial and temporal control of neuronal networks, enabling large-scale activation of defined neurons in vivo and in vitro.

This paper introduces 3D-MAP, a one-photon light sculpting technique for high-speed, scalable optogenetic stimulation and imaging in intact mouse brains.

The paper introduces a multifunctional transgenic mouse line and a pipeline to read and write neural activity patterns with high precision in behaving animals.

This study investigates how mice use active whisker touch to discriminate surface orientations, showing spatial integration in the barrel cortex is essential for this task.

The paper shows how inhibitory subnetworks in mouse V1 cortex switch between cooperation and competition to adapt to varying input strength and size.

This study shows ultrasound activates TRAAK K+ channels directly through the lipid membrane, with kinetics similar to mechanical activation, suggesting mechanosensitive channels mediate ultrasound's effects on neurons.

The paper investigates how optogenetic and behavioral inputs modulate V1 circuit responses, showing that specific interneurons stabilize the circuit and locomotion affects excitatory cells through direct drive.

The paper investigates how cortical circuits integrate sensory inputs to generate sparse, high-dimensional codes for complex features through stimulus-specific supra-linear summation in mice.

The paper identifies distinct somatostatin interneuron circuits that specifically control activity in different cortical layers through complementary inhibitory mechanisms.