Parameterizing neural power spectra into periodic & aperiodic components.
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Updated
Jun 23, 2026 - Python
Parameterizing neural power spectra into periodic & aperiodic components.
Biophysically Realistic Model of the Olfactory Bulb Mitral-Tufted-Granule Cell Pathway
An implementation of the spike-rate adjustment method from Aoi et al. (2015) for comparing spike-field and spike-spike coherences.
Model of Motor Network during Parkinson's Disease and Deep Brain Stimulation. The model simulates LFP, EMG and associated force signals from the motor system. A multivariable adaptive control strategy is implemented in the model to control two biomarkers of Parkinsonian tremor and motor impairment symptoms.
PASER: Processing and Analysis Schemes for Extracellular Recordings
Local-first web app for LFP-only neural representation inference and reference spike-activity decoding with a locked pretrained model, 256D features, UMAP visualization, and no data upload.
My ongoing project on understanding the neural correlates of memory formation involving statistical analysis of information flow between different sub-regions of hippocampus (EC, DG, CA3, and CA1)
Network Model of the Cortical Basal Ganglia during Parkinson's Disease and Deep Brain Stimulation
Physics-informed DL package for intrinsic dimensionality + manifold reconstruction of neural field potentials (mechanistic neural-field interpretation).
Code for my BSc thesis: decoding orientation preference maps from spontaneous activity in human V1. Compares sleep against wakefulness and finds sleep-derived maps markedly more stable — a stimulus-free route to functional cortical mapping for visual prostheses.
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