In the current political/social climate, my lab thought it was important to declare our shared values to push back against all the right-wing political tendencies around the globe...

Here is our LAB ETHOS: compneurosci.com/wiki/index.ph

I bought my current phone in 2021 and it's still going absolutely fine — with the significant problem that its operating system no longer receives security updates.

It's a major problem that the hardware lasts much, much longer than vendors are willing to support it for, and that no-one else can extend support due to hardware “security features”. It creates vast amounts of completely unnecessary electronics waste.

I wish this problem was something that governments were taking seriously.

New preprint out on how history dependence in data / neural processes affects our ability to carry out statistical inferences.

TL;DR: it's BAD!

arxiv.org/abs/2403.00947

History-dependence shapes causal inference of brain-behaviour relationships

Behavioural and neural time series are often correlated with the past. This history-dependence may represent a fundamental property of the measured variables, or may arise from how confounding variables change over time. Here we argue that undecidability about the ground-truth of history-dependence is a general computational property of systems that exchange information with its environment, and show that the resulting uncertainty has a direct impact on causal inference. We first argue that uncertainty in the ground truth of history-dependence is an inherent property of open systems that cannot be explicitly falsified. Simple model systems are then simulated to show how different assumptions about history-dependence can lead to spurious correlations and statistical properties of data distributions that are typically unaccounted for. We then consider this problem from an interventionist perspective, showing that interventions can only be guaranteed to remedy the spurious correlation problem when the latent dynamics between the intervention and measured processes are known a priori, and the effect of the intervention is invariant at the chosen level of analysis. We conclude that uncertainty about history-dependence is a fundamental property of the study of neural systems, and in light of this discuss how causality should be assessed in neuroscience.

arxiv.org

Hello, here is my late (after just following for a while):
I am post-doc in the group of theoretical cognitive science in Marburg.

My main scientific interest is to understand how we perceive human movement.

I also play the trumpet 🎺 in two bands: Skouch, and the Phonosonic Turtles.

With Skouch, we just released a new single 🎉 (is anyone still listening to punk in 2024?):

open.spotify.com/track/76Sd597

Major PhD milestone 🏁 my 1st author paper

"Cross-Modality Evidence for Reduced Choice History Biases in Psychosis-Prone Individuals"

was published today in Schizophrenia Bulletin. 💫

Across the visual & auditory domains, more psychosis-prone individuals show less reliance on past perceptual choices.

Check out the article #openaccess here
academic.oup.com/schizophrenia

Or the twee-print
twitter.com/eckertal1/status/1

Hi Mastodon! 👋

I'm (almost) a post-doc @THCSMarburg working on computational psychiatry & active inference, esp. perceptual mechanisms in autism, depression, and psychosis. I'm also doing some work in motor control.

For all of these I am using/ struggling with Bayesian networks.

Hoping to find my Twitter community here again - minus ads, tech billionaires & trolls 🤞

#introduction

Hello world 🌐

We're the Theoretical Cognitive Science Group at Philipps-University Marburg.

Our #research is focused on models of motor control, cognition, agency and navigation.

We use graphical models, simulations, virtual reality and machine learning.

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