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Lydia C. Marks

4 papers in the library · publishing 2023-2026

Papers

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Psilocybin collapses visual change detection and drives cortical dynamics toward a state of surprise

bioRxiv (Cold Spring Harbor Laboratory) August 25, 2026 Roberto de Filippo, Ryan Gillis, David G Wyrick et al. preprint

Abstract Psilocybin profoundly alters visual perception, yet the neuronal mechanisms underlying these effects remain unclear. Here we combined large-scale Neuropixels recordings with cell-type-specific optogenetics in head-fixed mice performing a visual change-detection task. Psilocybin severely impaired task performance without overt motor deficits. In cortex, the drug modestly suppressed...

Brain-wide reconfiguration of burst firing by psilocybin reveals 5-HT2A-dependent circuit dynamics

bioRxiv August 19, 2026 D. Momi, Y. Nahas, D. Wyrick et al. preprint

Psilocybin produces rapid and lasting therapeutic effects, yet how 5-HT2A receptor activation reshapes brain-wide circuit dynamics during acute drug administration remains poorly understood. Using simultaneous multi-region Neuropixels recordings of 46,360 single units from 35 mice, together with scalp electroencephalography (EEG), pupillometry, and locomotion monitoring, we provide a...

Pupil-DLC: An open-source deep learning pipeline for scalable, marker-less tracking of pupil dynamics across conscious and unconscious states.

Journal of neuroscience methods July 4, 2026 Parsa Seyfourian, Lydia C. Marks, Leslie D. Claar et al.

Pupil diameter is a non-invasive biomarker of brain state, correlating with arousal, attention, cognitive processing, and consciousness. However, existing pupillometry software often lacks scalability and robustness across diverse experimental conditions and species. We introduce Pupil-DLC, an open-source, offline, DeepLabCut-based pipeline for scalable, marker-less pupil tracking, primarily...

Cortico-thalamo-cortical interactions modulate electrically evoked EEG responses in mice

bioRxiv March 28, 2023 Leslie D. Claar, Irene Rembado, Jacqulyn R. Kuyat et al.

Perturbational complexity analysis predicts the presence of consciousness in volunteers and patients by stimulating the brain with brief pulses, recording electroencephalographic (EEG) responses, and computing their spatiotemporal complexity. We examined the underlying neural circuits in mice by directly stimulating cortex while recording with EEG and Neuropixels probes during wakefulness and...