john meng

[john meng @johnmeng16]

"In Search of Transcriptomic Correlates of Neuronal Firing-Rate Adaptation across Subtypes, Regions, and Species: A Patch-seq Analysis" https://t.co/wiLHRPkzf5
A new paper from our team! This work was completed in Wang's lab in collaboration with Yijie Kang and others.

[john meng @johnmeng16]

In summary, the dPC framework explains when top-down signals are inhibitory vs. excitatory. It unifies diverse findings and offers testable predictions. We hope this opens new paths for theoretical and experimental work on predictive coding.
#Neuroscience #PredictiveCoding

[john meng @johnmeng16]

We’re excited to share two new preprints proposing a theoretical work on Duet Prediction Coding (dPC)
Part1: 🔗 https://t.co/YnyEjo5pnT
Part2: 🔗 https://t.co/2D2NaAcgNR

[john meng @johnmeng16]

In Paper 2, our dPC model explains omission responses (https://t.co/dqMADYTTPu), mismatch negativity (https://t.co/HIEEGLIUya), and oddball effects (https://t.co/gHKqaaWvtW).
It predicts nPE neurons for deviance detection—confirmed in data.

[john meng @johnmeng16]

In summary, the dPC framework explains when top-down signals are inhibitory vs. excitatory. It unifies diverse findings and offers testable predictions. We hope this opens new paths for theoretical and experimental work on predictive coding.
#Neuroscience #PredictiveCoding

[john meng @johnmeng16]

In Paper 2, our dPC model explains omission responses (https://t.co/dqMADYTTPu), mismatch negativity (https://t.co/wf2W7r30fk), and oddball effects (https://t.co/gHKqaaWvtW).
It predicts nPE neurons for deviance detection—confirmed in data.

[john meng @johnmeng16]

Who could have imagined that a small idea could snowboall over three years into a multi-scale study, spanning from single genes to cross-species comparisons? We hope the methodology here will serve as a paradigm for leveraging genetic data in electrophysiological research.

[john meng @johnmeng16]

"In Search of Transcriptomic Correlates of Neuronal Firing-Rate Adaptation across Subtypes, Regions, and Species: A Patch-seq Analysis" https://t.co/wiLHRPkzf5
A new paper from our team! This work was completed in Wang's lab in collaboration with Yijie Kang and others.

[Cheng Xue @_ChengXue]

I just attended a great conference, but can’t help feeling disillusioned when I see certain organizing decisions, originally intended to promote diversity, going off to a strange direction. (1/7)

[Yue Liu @AllenLiuYue]

Excited to share our recent work "Flexible gating between subspaces in a neural network model of internally guided task switching", just out on @NatureComms!

🧵👇

[Valeria Fascianelli @VFascianelli]

Our work on individual differences in monkeys and RNNs is out on Nat Comms!
https://t.co/Avs4ewG8Yx
A huge thanks to @aldo_battista @faffofratello Satoshi Tsujimoto @AldoGenovesio and @StefanoFusi2 for the massive work!
A brief recap 👇🧵

[Wayne Soo @soowmwayne]

Neuroscientists can now record neural activity at an unprecedented scale, and have mapped out connectomes and transcriptomes at single-cell resolution. How do we incorporate them into brain-wide models? Check out our @CosyneMeeting @Cosyne2024 workshop:
https://t.co/A9vskowr4S

[john meng @johnmeng16]

Dr. An Wu's Family Emergency Travel Expenses
https://t.co/kdOH5ZZHj3