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#decoding
🅻🅸🅲🅴 (
) While picnicking with my partner, I happened upon this keybox love lock above some train tracks. I took a moment to decode it and ended up bringing it home.
#Jingzhi #Media #Group has officially launched Jingzhi #Chronicle, an English-language #platform dedicated to #decoding #China’s rapidly evolving #consumer #landscape. Building on the success of its #Chinese counterpart, Jingzhi #Zhijie, the platform aims to equip #global #brands, #investors, and #industry #leaders with #culturally nuanced #insights into the country’s “Neo-#Luxury #Era”. https://cnbusinessforum.com/chinas-neo-luxury-era-jingzhi-chronicle-unveils-2025-market-insights/
#Jingzhi #Media #Group has officially launched Jingzhi #Chronicle, an English-language #platform dedicated to #decoding #China’s rapidly evolving #consumer #landscape. Building on the success of its #Chinese counterpart, Jingzhi #Zhijie, the platform aims to equip #global #brands, #investors, and #industry #leaders with #culturally nuanced #insights into the country’s “Neo-#Luxury #Era”, where #sophistication, #cultural depth, and #innovation redefine #consumption. https://cnbusinessforum.com/chinas-neo-luxury-era-jingzhi-chronicle-unveils-2025-market-insights/
has someone ever used 
Seriously, Amtrak, why are you using AES encoded data for your train tracking map? (and no API available). 
#api #decoding #amtrak #encryption
HA!!! Found it! In fact, I found two:
This is the one I had in mind: Soekia, the didactic language model (https://www.soekia.ch/GPT/) It's in German and - AFAICT - uses a greedy decoding algorithm.
And here is a more complex one by Aymeric Roucher, using GPT2 beam search decoding: Beam Search Visualizer (https://huggingface.co/spaces/m-ric/beam_search_visualizer)
Many choices are linked to a specific motor action, but we can also make choices independent of the actions used to implement them. Our paper asking whether such abstraction is a general property of human decision-making is finally out: https://journals.plos.org/Plosbiology/article?id=10.1371/journal.pbio.3002324 @PLOSBiology @neurobuzz @neuroscience
#neuroscience #decisionmaking #eeg #meg #electrophysiology #neurophysiology #vision #decoding #NeuroPapers
We often ask to what extent neural representations generalize across contexts - e.g., across time, experimental conditions, or between task variables. Using multivariate cross-decoding, we check whether a decoder, trained in one context, returns significant results in another context. In our new article (with Markus Siegel - and my first, and quite possibly last, in NeuroImage: https://www.sciencedirect.com/science/article/pii/S1053811923004093), we show that this approach is prone to false positives when applied to neural population data involving any signal mixing, such as M/EEG, fMRI, ECoG, LFP. #neuroscience #NeuroPapers #decoding #mvpa #eeg #meg #fmri #neurophysiology #electrophysiology #NeuroMethods @neuroscience @neurobuzz (1/7)
New short-paper:
"Decoding accuracies as well as ERP amplitudes do not show between-task correlations"
tldr:
=> high decoding accuracy in ERN != high decoding accuracy in e.g. N400
=> strong N170 != strong e.g. P300
This could be great: it could mean that if one ERP-#BCI doesn't work for you, you can simply switch to another ERP!
https://www.biorxiv.org/content/10.1101/2023.05.21.541632v1
Work with Hannes Bonasch, a talented MSc Student in our lab www.s-ccs.de
@eeg @cogsci @cognition #EEG #decoding
#Pressefreiheit
#FakeNews, #Desinformationen, #Deepfakes - Es wird immer schwerer die Wahrheit in dem Wust von Informationen zu finden.
Nun werden ausgerechnet die Helfer gegen die #Manipulation beleidigt, bedroht & unter Druck gesetzt
The #Decoding the #Disinformation Playbook project
#Harassment of #FactChecking Media Outlets in #Europe
Preliminary Survey Results
https://faktograf.hr/site/wp-content/uploads/2023/03/preliminary-survey-report-final.pdf
Hi tootpeeps, I am about to release my first #python #package in the world (a suite for population activity decoding) and I need some of your sweet collective academic wisdom.
What's your advice on the best way of releasing academic software in terms of (a) visibility/adoption and (b) career purposes? (I am a late postdoc soon on the job market)
First concern is: how to make it citable so it can participate in our wonderful academic currency system? Journal of open source software comes to mind, but maybe there are #neuroscience or generically #lifesciences journals that are commonly used to publish software?
Second question is personal vs. lab GitHub: it currently sits on my personal GitHub page, but I've seen people using a lab's GitHub either in form of a page or an organization for their releases (there is currently no lab page). What's the most common practice in our field?
More context:
The package is a suite for #neural #decoding and geometrical analysis of population activity that automatically implements some best practices (balancing confounds, cross-validation, pseudo population, etc.) with a simple user-friendly interface, so very much related to what we do in the Fusi (@StefanoFusi ) lab. I wrote the thing myself but it is obviously permeated by the collective knowledge of current and past members of the lab.
Any kind of advice on the process is welcome! Thanks!