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Joey Zhou

@joeyzhou.bsky.social

Cog Neuro PhD, Assistant Prof @SZU 🧠 Previously @OHBA, Oxford and @Donders, Nijmegen

238 Followers  |  152 Following  |  4 Posts  |  Joined: 07.10.2023  |  1.6243

Latest posts by joeyzhou.bsky.social on Bluesky

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PhD Candidate: Computational Cognitive Neuroscience at the Predictive Brain Lab | Radboud University Working as PhD Candidate at the Predictive Brain lab? Check our vacancies here!

🚨Job alert!🚨 Are you looking for a PhD position, and interested in neuroAI, the predictive brain and visual perception/cognition? Then this job is for you: www.ru.nl/en/working-a... Sharing/re-posting is very much appreciated!

15.05.2024 13:50 β€” πŸ‘ 13    πŸ” 16    πŸ’¬ 0    πŸ“Œ 0

naive question: any practical reason to prefer the Elekta instead of the CTF MEG system?

having worked with both, I personally prefer the CTF. no need to bother maxfilter, and effectively more pairs of gradiometers.

02.05.2024 22:10 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

psyarxiv? would be curious to know if there’s any peer-review journal that’s free.

22.04.2024 11:18 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

1.Β Β Β Β  Excited to see this out in the world! We (Stephan Pohl, Edgar Walker, myself, Jenn Lee, Rachel Denison, @neddo.bsky.social , Florent Meyniel and Wei Ji Ma) present an account of evidence for representations in the brain. arxiv.org/abs/2403.14046

22.03.2024 16:34 β€” πŸ‘ 19    πŸ” 14    πŸ’¬ 1    πŸ“Œ 0
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New preprint: When and How to Deviate from a Preregistration osf.io/preprints/ps... I hope this helps researchers to reflect on the consequence of deviations from preregistrations by evaluating the test's severity and the validity of the inference.

18.12.2023 08:48 β€” πŸ‘ 89    πŸ” 45    πŸ’¬ 4    πŸ“Œ 7

thanks for sharing the posters!! made me less sad to have missed the NVP..

14.12.2023 00:06 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Oscillations in an Artificial Neural Network Convert Competing Inputs into a Temporal Code https://www.biorxiv.org/content/10.1101/2023.11.27.568876v1 Deep convolutional neural networks (CNNs) resemble the hierarchically organised neural representatio

Oscillations in an Artificial Neural Network Convert Competing Inputs into a Temporal Code https://www.biorxiv.org/content/10.1101/2023.11.27.568876v1

27.11.2023 23:16 β€” πŸ‘ 6    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0
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Using cluster-based permutation tests to estimate MEG/EEG onsets: how bad is it? https://www.biorxiv.org/content/10.1101/2023.11.13.566864v1 Localising effects in space, time and other dimensions is a fundamental goal of magneto- and electro

Using cluster-based permutation tests to estimate MEG/EEG onsets: how bad is it? https://www.biorxiv.org/content/10.1101/2023.11.13.566864v1

16.11.2023 18:15 β€” πŸ‘ 6    πŸ” 5    πŸ’¬ 0    πŸ“Œ 0

very cool finding! I _remember_ playing with your meg data (from the PNASpaper) a long time ago asking exactly this question and did not find strong enough evidence for it there (maybe not enough subjects).

26.10.2023 12:36 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 1
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Activity in primate visual cortex is minimally driven by spontaneous movements - Nature Neuroscience In primates, activity in the visual cortex is not driven by spontaneous body movements. These results confirm the functional specialization of primate visual processing, in contrast with findings in m...

Extremely interesting paper by Talluri et al. testing whether spontaneous behaviors are reflected in V1 activity in primates! www.nature.com/articles/s41...

Spoiler: Changes in the retinal image explain most of it. Difference to rodents? #neuroscience #PsychPsySky #NeuroSkyence #Psychology

13.10.2023 18:53 β€” πŸ‘ 22    πŸ” 11    πŸ’¬ 1    πŸ“Œ 2
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Concurrent Encoding of Precision and Prediction Error in Unfolding Auditory Patterns: Insights from MEG https://www.biorxiv.org/content/10.1101/2023.10.06.561171v1 Human listeners possess an innate capacity to discern patterns within rapidly evolving auditory sequ

Concurrent Encoding of Precision and Prediction Error in Unfolding Auditory Patterns: Insights from MEG https://www.biorxiv.org/content/10.1101/2023.10.06.561171v1

07.10.2023 19:16 β€” πŸ‘ 3    πŸ” 6    πŸ’¬ 0    πŸ“Œ 0

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