Simon Musall

Unraveling Network Dynamics via RONI: Riemannian filtering Of Network Interactions

RONI decomposes time-varying functional connectivity into dynamic drivers using Riemannian filtering on symmetric positive semidefinite matrices, applied to neural recordings.

Hierarchical dendrite-inspired organic bioelectronic interfaces for neuronal integration

This paper develops dendrite-inspired organic microelectrodes that enhance neuronal integration through bioinspired structural design and electrochemical properties.

Detection and Removal of Hyper-synchronous Artifacts in Massively Parallel Spike Recordings

The paper identifies and removes hyper-synchronous artifacts in electrophysiological recordings using zero-phase component analysis.

A mechanically stable neural probe for percutaneous high-resolution, multichannel recordings in peripheral nerves

This paper develops mechanically stable multi-electrode neural probes for high-resolution, multichannel recordings in peripheral nerves, improving signal yield and performance compared to single-electrode probes.

Cortex-wide circuits for multisensory evidence accumulation and choice formation

The paper identifies hierarchical cortical circuits for multisensory evidence accumulation and choice formation in mice using imaging and optogenetic perturbations.

Contralesional activity reflects compensation, while brainstem detour pathways support skilled motor recovery after stroke

This study shows that contralesional brain activity compensates for stroke damage, while new brainstem pathways support motor recovery in trained mice.

DNMT1 Coordinates PV Interneuron-Glia Coupling to Maintain Cortical Network Stability and Regulate Behavior

This study shows DNMT1 maintains cortical network stability by regulating PV interneuron function and glial interactions, leading to behavioral changes when disrupted in mice.

Spectral envelopes of facial movements predict intention, cortical representations, and neural prosthetic control

The paper introduces face-rhythm, an unsupervised pipeline for analyzing rodent facial movements, and shows it can decode task variables and cortical activity.

DNMT1-Mediated Regulation of Somatostatin-positive Interneuron Migration Impacts Cortical Architecture and Function

This study shows that DNMT1 regulates the migration of somatostatin-expressing interneurons, affecting cortical layer structure and function in mice.

Recurrent dynamics underlying transient neural representations

The paper identifies three computational characteristics of neural circuits in mice that drive reliable stimulus representations and reveals a trade-off in coding space when increasing the number of stimuli.

Flexible 3D kirigami probes for in vitro and in vivo neural applications

This paper introduces flexible 3D kirigami microelectrode arrays for in vitro and in vivo neural applications, showing spatially dependent electrophysiological activity patterns.

UnitRefine: A Community Toolbox for Automated Spike Sorting Curation

UnitRefine automates spike sorting curation using machine learning models trained on expert annotations, achieving human-level performance across species and datasets.

Broadband visual stimuli improve neuronal representation and sensory perception

The paper shows broadband visual stimuli enhance neuronal responses and sensory perception in mice by reducing center-surround suppression in V1 and the superior colliculus.

Region-specific spreading depolarization drives aberrant post-ictal behavior

This study identifies region-specific spreading depolarization as a key factor in post-ictal behavioral abnormalities in epilepsy using mouse and human data.

Dnmt1-deficiency in PV interneurons alters cortical circuit function and leads to depression-like behavior

This study shows that Dnmt1 deficiency in PV interneurons causes neural and behavioral changes associated with depression-like behavior.

Ongoing activation of visual cortex and superior colliculus in the rd10 mouse model of retinitis pigmentosa

The paper investigates whether visual cortex and superior colliculus in rd10 mice show cross-modal plasticity after retinal degeneration, finding no significant changes in tactile or auditory responses but detecting abnormal oscillatory activity.

Spontaneous movements and their impact on neural activity fluctuate with latent engagement states

The paper shows that neural activity variance during disengagement in mice is driven by spontaneous movements not tied to task events, revealing a hidden neural signature of disengagement.

Pyramidal cell types drive functionally distinct cortical activity patterns during decision-making

The paper identifies distinct functional roles of pyramidal neuron types in cortical activity during decision-making tasks.

Cortical glutamatergic projection neuron types contribute to distinct functional subnetworks

The paper identifies distinct functional subnetworks in the mouse cortex driven by two types of glutamatergic projection neurons during behavior.

Disentangled multi-subject and social behavioral representations through a constrained subspace variational autoencoder (CS-VAE)

This paper introduces a constrained subspace variational autoencoder (CS-VAE) to disentangle individual and social behavioral features in multi-subject settings, enabling analysis of latent variables for downstream tasks.

BRICseq bridges brain-wide interregional connectivity to neural activity and gene expression in single animals

BRICseq maps brain-wide connectivity, activity, and gene expression in single animals, showing gene expression patterns predict connectivity and activity correlations.

Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data

This paper introduces LocaNMF, a method to decompose widefield calcium imaging data into interpretable spatial and temporal components for analyzing neural activity across mice.

Single-trial neural dynamics are dominated by richly varied movements

The paper shows that neural activity during expert task performance is dominated by varied, uninstructed movements, revealing that movement-related activity often outweighs task-specific computations.