STATS320: Statistical Methods for Neural Data Analysis
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Updated
Jun 4, 2025 - TeX
STATS320: Statistical Methods for Neural Data Analysis
A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Representational Similarity Analysis (RSA), & Inter-Subject Correlation (ISC)
Decoding and geometrical analysis of neural activity with built-in best practices
A simple closed-loop BCI simulator for testing real-time neural decoding algorithms
Signal Processing Toolbox for Calcium Imaging Data
Real-time spike-level BCI streaming → music
spiking neural activity data from rodents
Live display of neural spike data for SpikeGLX software
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.
spiking neural activity data from primates
Object-oriented approach to loading Blackrock NSX neural data files in Matlab
Raw neural data does not leave. Only bounded, purpose-bound, budgeted reductions do — and every one is recorded. no_std, zero-alloc, 19 tests.
Matlab Package: Search for information-bearing components in neural data with noise assisted MEMD
Decentralized neural data consent platform for Kenya — encrypt brain data on Filecoin, grant/revoke researcher access via Lit Protocol, get SMS alerts via Africa's Talking. Built for PL Genesis Hackathon 2026.
python code for stimulus presentation, data acquisition, and analysis for retinotopic mapping experiments
PDeveloper-first privacy infrastructure for neural and biometric data. Encryption, consent enforcement, and tamper-evident audit logging.rivacy infrastructure for neural and biometric data.
Machine Learning /AI approach to predict neural responses
code for characterizing and comparing visual responses in rat cortex
SiClink community discussions, announcements, roadmap feedback, and collaboration entry point.
Paradromics is a clinical-stage neurotechnology company headquartered in Austin, Texas, with a machine-learning and data-science office in Oakland, California, developing high-data-rate implantable brain-computer interfaces (BCI).
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