Dan Feuerriegel

New paper in Psych Review on a model of false recognition in Deese-Roediger-McDermott DRM task.

Not just recognition responses, but also associated RTs!

And not just the semantic task, but also the structural task - where words overlap in orthography/phonology!

A thread!

New paper in Imaging Neuroscience by Dominic M.D. Tran, Nicolas A. McNair, Alexis E. Whitton, Thomas J. Whitford & Evan J. Livesey:

Prediction-based sensory attenuation is related to prediction-based motor attenuation

doi.org/10.1162/IMAG...

A habit and working memory model as an alternative account of human reward-based learning Nature Human Behaviour - In this study, Collins proposes an alternative dual-process (working memory and habit) model of reinforcement learning in humans.

My paper is out!
Computational modeling of error patterns during reward-based learning show evidence that habit learning (value free!) supplements working memory in 7 human data sets.
rdcu.be/eQjLN

@violetchae.bsky.social and Lauren Fong showcasing neural correlates of evidence accumulation for dietary and voluntary decisions at #ACNS2025 @acnsau.bsky.social

@jie-sun.bsky.social taking us through his joint modelling of neural and behavioural data in recognition memory tasks @acnsau.bsky.social #ACNS2025

Here’s what Black Friday sales shopping does to your brain Black Friday is a psychological event, carefully designed to take advantage of how your brain makes decisions. But you can stay one step ahead this sales season.

In advance of the Black Friday sales, @tgro.bsky.social and I highlight the tactics that retailers use online. Including tips to help you keep your cool during the shopping frenzy.

theconversation.com/heres-what-b...

@psychunimelb.bsky.social @unimelb.bsky.social

Here’s what Black Friday sales shopping does to your brain Black Friday is a psychological event, carefully designed to take advantage of how your brain makes decisions. But you can stay one step ahead this sales season.

In advance of the Black Friday sales, @tgro.bsky.social and I highlight the tactics that retailers use online. Including tips to help you keep your cool during the shopping frenzy.

theconversation.com/heres-what-b...

@psychunimelb.bsky.social @unimelb.bsky.social

"How disconfirmatory evidence shapes confidence in decision-making"! Now out in @commspsychol.nature.com
w @annikaboldt.bsky.social & Yishu Sun
Paper: www.nature.com/articles/s44... Thread ↓↓↓

#PsychSciSky #Neuroscience #Neuroskyence #Metacognition #Confidence

super excited to say that the first paper from my PhD has been published in Neuroscience and Biobehavioral Reviews 🧠!!

“I could have done otherwise”: the neural bases of counterfactual representations -> doi.org/10.1016/j.ne...

New preprint from the lab led by @violetchae.bsky.social! We debut an open EEG dataset for research into food cognition and dietary choices.

Featuring data from 117 different brains relating to 120 different food stimuli.

@tgro.bsky.social @psychunimelb.bsky.social

FOODEEG: An open dataset of human electroencephalographic and behavioural responses to food images Investigating the neurocognitive mechanisms underlying food choices has the potential to advance our understanding of eating behaviour and inform health-targeted interventions and policy. Large, publi...

Our new preprint on the FOODEEG open dataset is out! EEG recordings and behavioural responses on food cognition tasks for 117 participants will be made publicly available 🧠 @danfeuerriegel.bsky.social @tgro.bsky.social

www.biorxiv.org/content/10.1...

A Parietal Memory Strength Signal Linked to Evidence Accumulation in Recognition Decisions Recognising objects from memory requires an integration of sensory and mnemonic information. This process has been theorised to occur via a stochastic evidence accumulation process implemented within ...

Maybe also worth noting that we don't always find the ramping type activity in decision tasks - work by @jie-sun.bsky.social found more of a response locked ERP correlate of RT and drift rate for recognition memory decisions, which is a bit different to the CPP.

www.biorxiv.org/content/10.1...

I think that's why Simon and Redmond switched to using CSD early on (e.g. Kelly and O'Connell, 2013). It was a lesson I had to learn the hard way on a previous project.

I feel line the complexity still has a few surprises for us all! Keeps EEG interesting for sure.

For better separating contributions to the response-locked ERP waveforms, CSD has been particularly important to us. Motor and more anterior frontocentral signals can easy creep back to Pz in non-CSD, which really distorts the waveforms when looking at the CPP, for example.

I'm more confident that we can get a cleaner estimate of the stimulus-locked signal in RIDE, particularly when we use the conservatively long S component window. So subtracting that allows us to look at the EEG signals that are more varied in time relative to stimulus onset.

Re: the C component, do you mean the potential for overlap between the C and R components in the data?

From what I've seen, it's a but tricky to disentangle C and R as cleanly as I'd like, and I don't think the RIDE C component definition cleanly maps on to the type of ramping signal of interest.

Thanks for taking the time to read it, and that praise means a lot to us!

We can put up the continuous data - let me just see if the OSF will handle it all given the file size limits. We may expand this open dataset as we get reviewer feedback as well.

May also be of interest to @benediktehinger.bsky.social @ashenhav.bsky.social and colleagues as we build upon their work to better specify the evidence base re: neural correlates of value based choices. More exciting findings coming soon!

🌏 Come spend some time with us in Sydney! 🇦🇺

@marcsinstitute.bsky.social is offering International Visiting Scholarships for PhD students + postdocs.

Spend 1–3 months collaborating, exploring ideas, and building connections.

📅 Apply by 4 Dec
📍 Sydney, Australia

Curious or keen? DM or email me

For more food choice content, see the latest episode of the PsychTalks podcast run by @psychunimelb.bsky.social

Lab Notes: How your brain chooses your next snack - ABC listen It's mid-afternoon and time for a treat! Do you choose a healthy piece of fruit, or do you head straight for the chocolate?  It turns out that well before we consciously decide what we're going to ea...

Our new research led by @violetchae.bsky.social has been featured on the ABC Lab Notes podcast! Listen to learn how much work your brain is doing when you wander down the grocery store aisles.

www.abc.net.au/listen/progr...

May be of interest to: @redmondoconnell.bsky.social @elainecorbett.bsky.social @epares.bsky.social @silviaseghezzi.bsky.social @connelllab.bsky.social @lcparra.bsky.social

We think this will help researchers develop joint neural-behavioural computational models of value-based decision-making, as has been nicely done for perceptual choices.

With Paul Garrett, Philip Smith @hesterr77.bsky.social and Stefan Bode.

@psychunimelb.bsky.social

These neural measures exhibited key characteristics of an evidence accumulation signal: faster build-up rates with faster response times and a convergence to a relatively fixed amplitude.

This points to the CPP as a more domain-general correlate of decision-making. 4/n

We used signal deconvolution methods (to reduce overlap from stimulus-locked neural activity) in combination with current source density methods to improve our ability to accurately measure the CPP, as well as Mu/Beta activity over motor cortex.

3/n

Regressing away common neural choice signals does not make them artifacts: Comment on Frömer et al. 2024 Abstract. Frӧmer et al. (2024, Nature Human Behaviour) apply a deconvolution method to correct for component overlap in the event-related potential. They report that this method eliminates signatures ...

There has been some controversy around whether electroencephalographic (EEG) signals, such as the Centro-Parietal Positivity, trace decision dynamics for choices that involve endogenous (e.g., preference-driven) information.

See doi.org/10.1162/IMAG...

2/n

Tracing the neural trajectories of evidence accumulation and motor preparation processes during voluntary decisions Voluntary decisions have previously been described by where they arise in the brain and how actions corresponding to one's choice are prepared. However, the processes by which these internally guided ...

Interested in how we make preference-driven decisions, and how this is implemented in the brain?

We report that neural correlates of evidence accumulation (CPP, Mu/Beta) are also observed during value-based decisions.

www.biorxiv.org/content/10.1...

Led by @laurencf.bsky.social (Lauren Fong)

1/n

Research was performed at @psychunimelb.bsky.social @unimelb.bsky.social

New article in @theconversation.com - featuring some exciting new findings on how our brains rapidly encode a wide range of food properties when we see a food item.

Your brain is doing a lot of work when you scroll through food delivery apps!

Led by @violetchae.bsky.social w/ @tgro.bsky.social

Using EEG 🧠⚡ and representational similarity analysis, we mapped how the neural representations of food attributes (e.g., taste & health) unfold over time when viewing foods🍎🍰🥗 @danfeuerriegel.bsky.social @tgro.bsky.social

theconversation.com/our-brains-e...

doi.org/10.1016/j.ap...