Ali Williford

This paper introduces SLAP2, a high-speed microscope for measuring submicron synapses and dendritic voltage in behaving mice, revealing nonlinear input-output amplification in neurons.

This study examines neural responses in mouse visual cortex to natural and artificial visual stimuli, finding increased activity in response to natural mismatches but no change in dendritic-somatic coupling.

The paper shows that moving visual stimuli elicit topographic and directional responses in most entorhinal neurons, revealing visual input's role in shaping their activity.

The paper maps gene expression and axonal projections of neurons in the mouse primary visual cortex to reveal how retinotopy and cell-type-specific collateralization organize visual-stream output.

This study shows psilocybin disrupts visual change detection by altering cortical dynamics, particularly in SST interneurons, leading to increased surprise signals.

The paper presents a database of spiking activity in the mouse visual system during an image change detection task, revealing task-specific coding patterns across brain regions.

The paper develops a cross-species enhancer-AAV toolkit for targeting specific cell types in the basal ganglia across species, validated in mouse and macaque.

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

The paper identifies enhancers for spinal motor neurons and develops AAV vectors to target these cells in rodents and macaques, enabling functional studies and potential therapeutic applications.

The paper challenges the conventional view of mouse higher visual cortex by proposing a unified-V2 hypothesis and presents a dataset for testing alternative models.

This study challenges hierarchical predictive coding models by showing that prediction error responses in visual cortex do not involve feedforward processing and that predictive suppression is not mediated by inhibitory interneurons.

SHIELD enables large-scale electrophysiological recordings in mice by providing a skull-shaped implant for repeated multi-probe insertions across brain regions.

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 shows that visual areas differentially encode temporal context and expectation in natural scenes, with representational drift observed in lower areas but not higher ones.

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

The paper maps brain-wide monosynaptic inputs to specific neuron classes in mouse visual cortex using an improved rabies virus tracing strategy and identifies connectivity patterns within and between visual areas.

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.

This study compares neuronal responses in visual cortex using electrophysiology and two-photon imaging in awake mice, finding differences in responsiveness and selectivity and exploring data transformations to reconcile them.

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

This study identifies the anatomical composition and connectivity patterns of the mouse default mode network at the regional, layer, and cell-class levels.

The paper describes an engineering system for standardized in vivo physiological recordings in mice, enabling large-scale, cross-platform data collection.

The paper examines how visual experience affects activity dynamics and stimulus coding in excitatory and VIP inhibitory cells in mouse visual cortex during a change detection task.

The paper presents a large-scale dataset of neural activity in the mouse visual cortex and shows that responses to different stimuli are largely independent, suggesting multi-layer hierarchical computation.

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 expands the Allen Mouse Brain Connectivity Atlas by analyzing intracortical connections at the layer and cell class level, revealing modular organization and distinct projection patterns.