Pascal Vincent start off the day 2 of #main2018 with a good gentle introduction of deep learning and good practical tips.

#main2018 @crocodoyle it seems like you got some serious competitions in terms of the quality control aspect. :) poster 25. How come you two are not collaborating?.

#MAIN2018 speakers of Day 1. Pretty diverse talks than expected. Looking forward to see Day 2

Memes are more efficient than genes. Interesting bits from Dr. Bengio's #MAIN2018 talk on ANN and its biological origins.

Hardcore. to study how rodent process whisker sensory signals @dyamins at #main2018 mentioned building a biomechanical model of rodent whiskers. and then CNN models of processing the biomechanical signal. Please do share pictures.

Also thay is some slick slick manifold visualization.

Super cool visual (ha) parallel drawn by @dyamins of convolutional neural networks and visual system at #MAIN2018.

Thank @Mehravehs for her concise, well explained talk on state specific brain parcellation at #MAIN2018 .

Some interesting quotes collected by Dr.Yves Fregnac at #MAIN2018 especially the quote on the key differences between insight and data.Well crafted experiments and careful interpretation are still extremely crucial to help us understand neuroscience and any scientific experiment

Such a big team. Looking forward to learn more about Neuromod. What is the website? # twitter handle? @pierre_bellec

#MAIN2018 cool announcement by @pierre_bellec of neuromod. No hashtag and twitter account yet? Hooray for #openscience and #reproducibility. Looking forward to the high quality data release to test the robustness of our data analyses pipelines.

Interesring point from @pkdouglas16 on the importance of noise in biological and artificial neural networks. Gotta do more dropout 🤣. #MAIN2018 . Thanks for the rich and indepth talk. .

Excellent summary slides from @danilobzdok at #MAIN2018 Thanks so much! He also touched on the important tradeoff of interpretability versus prediction accuracy of modeling. Clinical applications versus research understanding have quite different statistical needs.

Interesting point at #MAIN2018 about how predictive significance might not be group significant. Always assumed that is a given. still have much to read. also, super interesting timeline on the history of statistical methods. Of note, GLM and 10fold CV are only since 1975.

Kudos to Dr. Evans from #hbhl for giving a cool level headed perspective of the ML/DL application in neuroscience and the long road ahead of us. Looking forward to see some concrete useful application of ML/CV/RL/DL that we can adopt from the works presented at #MAIN2018

We are at #MAIN2018! I missed the desk and power charger from #main2017 though. Bright and early Sunday with tons of coffee. looking forward to see how people put computer vision to work! Wonder how much reinforcement learning there will be versus CNN. Maybe capsule too?

We are proud to announce that our paper on #MachineLearning is published in #HBM journal. It is open source.

Presenting the mission of the CNBP to undergrad students at Soirée carrière en Sciences Biomédicales.#UdeM #Pharmacologie

Congratulations to @VicenteEch who received a scholarship grant for Ph.D. from #RBIQ.

Please make this dataset open. it would be so very beneficial for pipeline development. :D.