8
publication records
20
case study writeups
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Stable PDF view for neuroscience data infrastructure, multimodal ML, BCI systems, and applied AI work.
papers
2025
Journal of Neuroscience
Co-authored Journal of Neuroscience paper examining how beta and high-gamma activity in cortico-striatal circuits reflects reward certainty during probabilistic reversal learning.
2024
Cognitive, Affective, & Behavioral Neuroscience
Co-authored Cognitive, Affective, & Behavioral Neuroscience paper identifying cortico-striatal beta oscillations as a reward-related electrophysiological signal.
2022
bioRxiv
Co-authored bioRxiv preprint connecting cortico-striatal beta and high-gamma oscillations to learned reward value across reward-valence, temporal-discounting, and probabilistic reversal-learning behavior.
2022
Biological Psychiatry, Volume 91, Issue 9, Supplement
Co-authored Biological Psychiatry abstract-only supplement entry on beta oscillatory activity and value representation in cortico-striatal reward networks.
2021
Cerebral Cortex Communications
Co-authored Cerebral Cortex Communications paper on large-scale LFP recordings and electrophysiological correlates of rodent default-mode network suppression.
2021
Frontiers in Psychiatry
Co-authored Frontiers in Psychiatry methods paper describing low-cost stationary probe designs for chronic multi-site recordings in behaving rats.
2021
eNeuro
Co-authored eNeuro paper mapping large-scale action and inhibition networks using multisite LFP recordings in rodents and related human EEG analyses.
2020
Journal of Neuroscience Methods
Co-authored Journal of Neuroscience Methods paper describing an open-source Raspberry Pi-based operant box for translational behavioral testing in rodents.
project writeups
2026-07-14
A falsification-first research harness for predicting fMRI responses to naturalistic video. Inspired by Meta's TRIBE, but scored on region-specific, noise-ceiling-normalized, control-matched prediction behind preregistered gates — producing a cross-dataset-confirmed visual encoder, a set of well-powered negative results, and a characterized failure mode.
2025-11-06
A 10-package Python monorepo that carries neural data end-to-end — hot-swappable device drivers across 16+ biosignal modalities, agent-based real-time orchestration, a registry-driven model zoo, the neuroFMx multimodal foundation model, mechanistic-interpretability tooling, and cloud-native streaming, serving, and observability.
2025-11-05
The from-scratch multimodal foundation model of neurOS-v1: per-modality tokenizers, a Mamba state-space backbone, self-supervised masked-modeling objectives, and LoRA + unit-ID adapters for cross-session transfer.
2025-11-05
The runtime heart of neurOS-v1: an asynchronous agent orchestrator, the pluggable processing pipeline, CV plugins, and adaptation/health monitoring that turn streamed signals into real-time inference.
2025-11-05
Published neural foundation models — CEBRA, NDT, POYO, Neuroformer — behind one base interface, with dataset loaders, so external architectures are directly comparable inside neurOS-v1.
2025-11-05
Mechanistic interpretability inside the platform: circuit discovery (ACDC, path patching), sparse/concept autoencoders, representation alignment (RSA/CCA/PLS), dynamics analysis, and biophysical grounding back to biology.
2025-11-05
A unified, hot-swappable driver API across 16+ biosignal modalities, plus NWB/Zarr I/O, so any device plugs into neurOS-v1 behind one contract without changing the pipeline.
2025-11-05
A registry-driven library of deep and classical models behind one interface, so architectures are swappable and directly comparable, with a SageMaker launcher for cloud training.
2025-11-05
The distributed backbone of neurOS-v1: message-bus streaming (Kafka, Redis, ZeroMQ), lakehouse storage and export (Iceberg, Petastorm, WebDataset), federated learning, and LSL sync for real deployments.
2025-11-05
The human surface of neurOS-v1: a FastAPI serving API, a Streamlit dashboard, and a CLI to run pipelines, benchmarks, and the Constellation demo without writing code.
2025-11-05
A focused service that weights heterogeneous data sources for training mixtures, so a foundation model learns from the right blend of data rather than from raw volume.
2025-01-01
The reward-certainty paradigm at NEATLabs: reward contingencies flip unpredictably while rats must relearn which action pays off. Beta and high-gamma oscillations track reward valence and probability, and optogenetic beta-frequency stimulation causally perturbs adaptive behavior. Anchors the Journal of Neuroscience paper on reward certainty.
2024-03-01
The reward-value paradigm at NEATLabs: rats choose between smaller-sooner and larger-later rewards while reward-locked cortico-striatal beta oscillations track reward magnitude, delay cost, and computationally modeled subjective value. Anchors the Cognitive, Affective, & Behavioral Neuroscience paper on beta as a reward signal.
2024-01-15
Building and operating DataJoint-backed scientific workflows for multimodal neuroscience data, connecting acquisition files, relational schemas, cloud execution, analysis notebooks, and researcher-facing review tools.
2023-09-01
Deploying and optimizing DataJoint-backed deep learning pipelines for pose estimation and facial inference for Lu Lab at Indiana University.
2023-06-15
Supporting a public Sabatini Lab DataJoint workflow for organizing and processing multimodal neuroscience sessions across imaging, photometry, behavior, electrophysiology, and DLC video data.
2023-03-01
Operational support for DataJoint-based neuroscience workflow infrastructure connected to Allen Institute Mindscope-style large-scale datasets, with emphasis on reproducible processing, schema organization, cloud execution, and reviewable outputs.
2022-04-01
Research systems work at UC San Diego spanning rodent behavioral paradigms, Raspberry Pi operant boxes, large-scale LFP analysis, TBI studies, drug-condition comparisons, and publication-supporting neural dynamics pipelines.
2021-02-01
The behavioral-inhibition paradigm at NEATLabs: rats act, withhold, or wait in response to cues while distributed cortico-striatal LFP and human EEG reveal separable action and inhibition networks. Anchors the eNeuro large-scale-network paper and the rodent default-mode suppression study.
2020-03-01
Creative hardware systems connecting NeuroSky-style brain input, Raspberry Pi control, audio-reactive LED strips, NanoLeaf-style lighting, and lagless audio routing for synchronized real-time visual feedback.