Simon R. Schultz

The paper uses calcium imaging and computational methods to show that cortical networks operate near criticality through arousal-linked neuronal avalanches.

This study investigates how hippocampal representations of space differ based on navigational strategy in rats performing memory tasks.

This study identifies early hippocampal coding deficits in 5xFAD mice before behavioral decline, showing impaired contextual representations and shifts in encoding strategies.

This study links dlPFC haemodynamics to response latency and shows how age and lifestyle factors influence prefrontal activation.

This paper introduces a high-resolution two-photon microscopy system capable of imaging large brain regions with cellular resolution.

The paper investigates synergistic interactions mediating long-range correlations in the visual cortex of awake mice during visual stimulation.

This study uses three-photon imaging to track vascular degeneration and amyloid plaque changes in a mouse model of Alzheimer's disease over four weeks.

The paper applies hierarchical Bayesian modeling to multi-region brain cell count data, showing improved inference over traditional methods in under-sampled datasets.

The paper investigates whether astrocytes in the auditory cortex of mice exhibit stimulus-selective receptive fields similar to neurons, finding partial overlap but distinct encoding of sensory features.

This study shows that amyloid pathology reduces neuronal dynamic range and impairs spatial coding in an Alzheimer's mouse model.

This paper uses a computational model to show that synaptic loss in Alzheimer's Disease leads to place cell abnormalities, supporting synaptic dysfunction as a driver of cognitive impairment.

The paper uses quadratic mutual information to estimate receptive fields in mouse dLGN, finding functional asymmetries between ON and OFF visual pathways.

This study demonstrates place cells in head-fixed mice navigating a real-world environment, showing consistent place tuning and remapping comparable to virtual reality systems.

The paper identifies two developmental origins of thalamic inhibitory interneurons in mice and shows their distribution in the marmoset thalamus.

This study develops an RNN model of the dlPFC-dSTR circuit to investigate how learning shapes neural representations and action selection in a sequence learning task.

This study demonstrates sub-cellular resolution 3D light field imaging of voltage signals in acute mouse brain slices using genetically encoded voltage indicators.

The paper introduces catch22, a set of 22 time-series features that balance computational efficiency and classification performance across diverse biomedical and other time-series datasets.

The paper reveals structured direction selectivity in mouse V1, showing temporo-nasally drifting gratings elicit higher responses than upward moving ones, suggesting behavioral relevance.

The paper examines how different stimulus types affect neural ensemble activity patterns in mouse primary visual cortex, finding distinct activity patterns and differences in entropy and distribution clustering.

The paper examines cross-frequency coupling in macaque auditory cortex to identify patterns of top-down and bottom-up information processing, finding distinct frequency interactions for each direction.

The paper introduces a feature-based analysis method to characterize peripheral nerve firing by unsupervised dimensionality reduction, aiming to improve decoding in bioelectronic medicine devices.

This paper reconstructs natural visual stimuli from two-photon calcium imaging of mouse visual cortex by analyzing receptive field density and decoding accuracy.

This study identifies cerebellar neurons in mice that encode future locomotion kinematics, with linear decoding of locomotion speed using a small subset of cells.

The paper introduces CosMIC, a new metric for evaluating spike inference accuracy in calcium imaging, showing it better discriminates precision and recall than existing metrics.

The paper presents a multiscale simulator for peripheral nerve signaling that integrates biophysical axon models with extracellular space models to predict signal shapes and stimulation thresholds.

This study reconstructs natural stimuli from 2-photon calcium imaging in mouse V1 neurons, finding linear readout properties and limited importance of pairwise correlations.

This paper develops a computational model to study how dendritic morphology affects neuronal gain modulability using optogenetic simulations and validates findings on pyramidal and stellate cells.

This paper introduces an adaptive spiral scanning algorithm for multi-photon microscopy to improve temporal resolution in neural activity imaging.

ABLE detects cell locations in two-photon calcium imaging data using a level set method, achieving 67.5% success on a manually labelled mouse in vivo dataset.

The paper demonstrates how dendritic non-linear processing enables stimulus selectivity in neurons, even when preferred stimulus input is not dominant, and shows increased robustness to synaptic and dendritic failures.