research highlights
- Open Connectome Project: collectively reverse engineering the brain one synapse at a time.
- CE Priebe, JT Vogelstein, D Bock. Optimizing the quantity/quality trade-off in connectome inference. Accepted to Communications in Statistics---Theory and Methods. arvix.
- JT Vogelstein, et al. Are mental properties supervenient on brain properties? . Nature Scientific Reports, (1):100, 2011 .
- R Yuste, J MacLean, JT Vogelstein, L Paninski. Imaging Action Potentials with Calcium Indicators. Cold Spring Harb Protoc; 2011; doi:10.1101/pdb.prot5650. abstract, pdf.
- JT Vogelstein, et al. Graph Classification using Signal Subgraphs: Applications in Statistical Connectomics. Submitted. arxiv, code, repo.
- MR Connectome Automated Pipeline: a pipeline that takes diffusion and structural data as inputs, and outputs a connectome. Submitted to IEEE EMBS. Code available from NITRC.
- SB Hofer, et al. Differential tuning and population dynamics of excitatory and inhibitory neurons reflect differences in local intracortical connectivity. abstract, pdf (including supp). Nature Neuroscience, 2011.
philosophy
This world is already an incredibly beautiful and lovely place to live (for many of us). Our thesis is that by improving our models of how we think and act, we will be able to make this world even better for more of us. More specifically, we aim to contribute by developing and applying tools from statistics to neuroscience, psychology, and beyond. Our primary foci are statistical graph theory and brain-graphs (connectomes).
Perhaps partially because we fervently believe that we are all in this together, we are strong advocates of open-science, that is, making one's research freely available to all. To that end, all our work is open science, meaning our code is open source and all the data we use is open as well. The intention of this website is to share our dreams, our work, and invite you to come join our party, and perhaps inspire others to behave in accordance with their dreams.