Computational NeuroEngineering Lab

CNEL projects

EEG, voltage imaging, biological time-series modeling, and experiment infrastructure connected to CNEL research at UF.

Diagram showing an EEG modeling pipeline.
Research · neurotechnology · time-series modeling

EEG-based sentiment & brain-state tracking (CNEL × Sony × LB3 dataset)

Pipeline that turns brain-wave recordings (EEG) into a small set of hidden time-series ‘states’ using a state-space model (Hierarchical Linear Dynamical System, HLDS), then evaluates those states for prediction and separability.

Electroencephalography (EEG)State-space modeling (HLDS)Sony–UF ‘LB3’ dataset (internal codename)
Frame from a zebrafish voltage imaging video.
Research · imaging · time-series detection

Zebrafish voltage imaging: event detection & interpretation

Pipeline for 2D voltage imaging videos that flags ‘events’ (fast, localized changes) using statistical detectors inspired by radar signal processing, producing maps and summaries for downstream analysis.

Voltage imaging (video)Event detectionStatistical detectors (CFAR-style)Quadratic Gamma Discriminator (QGD)
Plot representing adaptive filtering / time-series modeling.
Research tools · ML infra · reproducibility

Time-series ML experiment library

Reusable experiment scaffolding for time-series ML: standardized configs, runs, metrics, and plots so model comparisons are fair and repeatable.

Time-series modelingExperiment trackingGPU acceleration