Yazan N. Billeh

The paper shows that cortical pyramidal neurons exhibit distinct unexpected event signals in somata and distal apical dendrites that change over days, suggesting a role in hierarchical computation.

The paper uses biophysical simulations of mouse primary visual cortex to show that current sinks and sources are shaped by both synaptic weights and dendritic placement, with distinct contributions from thalamocortical inputs and cortical feedback.

This paper uses Neuropixels recordings to analyze neurophysiological differentiation (ND) in mouse visual brain areas across timescales, finding higher ND for naturalistic stimuli and successful detection trials.

The paper identifies diverse functional neuron types in the visual cortex that process novel and familiar stimuli in mice.

The paper measures stimulus-evoked neurophysiological differentiation in mouse visual cortex neurons across layers and areas, finding greater differentiation in specific layers and areas for unscrambled stimuli.

The paper presents a dataset and analysis of spiking activity across multiple mouse visual areas, revealing that functional connectivity mirrors anatomical hierarchy.

The paper introduces BMTK, an open-source software suite for multiscale brain circuit modeling, enabling simulations across different resolution levels with reduced coding requirements.

The paper uses a mouse V1 model to study how perturbations affect coding efficiency and robustness, showing shifts in inhibition and excitation based on stimulus contrast.

The paper develops a multi-scale model of mouse primary visual cortex integrating structural and functional data to identify cell-class specific connectivity rules.

The paper introduces the SONATA data format to efficiently describe large-scale network models in neuroscience, enabling model construction, simulation, and sharing.

The paper identifies direction-reversing neurons in the mouse visual system that change their preferred motion direction under different spatiotemporal stimuli, supported by an asymmetric filter model.

The paper develops a biophysically detailed in silico model of layer 4 of the mouse primary visual cortex, showing how functional synaptic connectivity reproduces experimental observations of neuronal responses to visual stimuli.

The paper identifies LOW activity states during non-REM sleep in rats, characterized by reduced neural activity and potential restorative function.