Eric

#s and stuff

[Eric @bridgen3rd]

@AlexLoftus19, @jovo, and I recently had our textbook we put together in @neuro_data on network machine learning published with @CambridgeUP. https://t.co/ktC5dLr8Cp #Python #graphs #machinelearning #networks #statistics

[Eric @bridgen3rd]

If you are into python, machine learning, graph data, statistical learning, basic graph neural network architectures, or just want to get a hands-on and ground-up introduction to a new, actively-developing field to keep your chops sharp, we hope this might be a good book for you.

[Eric @bridgen3rd]

@AlexLoftus19, @jovo, and I recently had our textbook we put together in @neuro_data on network machine learning published with @CambridgeUP. https://t.co/ktC5dLr8Cp #Python #graphs #machinelearning #networks #statistics

[SIAM Activity Group on Dynamical Systems @DynamicsSIAM]

"How causal perspectives can inform problems in computational neuroscience" (by Eric W. Bridgeford, Brian S. Caffo, Maya B. Mathur, Russell A. Poldrack): https://t.co/xkquiB3Gav

[Eric @bridgen3rd]

Let's improve the reliability and validity of neuroimaging research together! Be sure to check out our new complementary software package https://t.co/j83eZWrytq 11/11

[Eric @bridgen3rd]

What are batch effects? How do they wreak havoc on our multi-site (neuroimaging) studies? 🤔 And where are current approaches falling short? Time for some causal clarity! https://t.co/Z84zNADXbs #causality with @neuro_data @g_kiar @MilhamMichael @ImagingNeurosci 1/11

[Eric @bridgen3rd]

The implications? HUGE, especially as new methods are rolled out for batch effect correction leveraging deep learning, which are heavily susceptible to covariate distribution shift. Ignoring causality yields bias in your models. #deeplearning #ai #biasinai 10/11

[Eric @bridgen3rd]

We are excited to hear how you agree, or disagree, with the framework of batch effects we have come up with, and how we can work together to continue to improve! https://t.co/xSJuDQ9nDm 11/11

[Eric @bridgen3rd]

What are batch effects, how are they problematic, and what can we do about them? Where are the shortcomings in our existing understandings of batch effects, and how can we better aggregate data across sites? @neuro_data @MilhamMichael @g_kiar 1/11 https://t.co/7Bt3VgQHrR

[Eric @bridgen3rd]

the limitations of the actual data we are obtaining in statistical connectomics (and other biomedical datasets), and how those limitations can be overcome or better understood 10/11