Joost de Jong

@joost-de-jong.bsky.social

Postdoc at the INCC Paris, studying temporal integration and time perception ⏱️ using psychophysical experiments 👀 and neurocomputational models 🧠

How do we keep up with the pace of our surroundings? Previously, we’ve shown that working memory encoding speeds up when you expect limited encoding time. How does the brain accomplish this? In new work, we found that the brain uses an accelerated neural code⚡🧠: www.biorxiv.org/content/10.6... (1/6)

Neural acceleration drives adaptations in working memory encoding speed

Humans and non-human animals adaptively boost their encoding speed when they expect limited sensory exposure time, so that they can capture essential information before it is gone. However, it is uncl...

biorxiv.org

More evidence for the role of alpha/beta oscillations in top-down control. Sustained alpha oscillations serve attentional prioritization in working memory, not maintenance doi.org/10.1162/IMAG... #neuroscience

Sustained alpha oscillations serve attentional prioritization in working memory, not maintenance

Abstract. Recent theory on the neural basis of working memory (WM) has attributed an important role to “activity-silent” or -quiescent mechanisms, suggesting that sustained neural activity might not be essential in the retention of information. This idea has been challenged by reports of ongoing neural activity in the alpha band during WM maintenance, however. The precise role of these alpha oscillations is unclear: Do they reflect attentional prioritization of stored information, or do they serve as a general maintenance mechanism, for instance to periodically refresh synaptic traces? To address this, we designed a visual WM task involving two memory items, one of which was prioritized by being tested first for recall. The task included both short (1 second) and long (3 seconds) delay intervals between encoding and retrieval. The long delay condition allowed us to test whether the alpha-based decoding effects persist beyond the early delay period, thereby putting accounts that attribute alpha activity to generic maintenance processes to the test. Time-resolved decoding analyses revealed that both tested-first and tested-second items were initially decodable following stimulus presentation. However, only the tested-first item exhibited sustained decodability throughout the delay, particularly in the long delay condition, where it transitioned into a stable coding scheme. This prolonged representation was selectively supported by induced alpha power, which reliably tracked the prioritized tested-first item, but not the deprioritized tested-second item. Impulse-based decoding further confirmed this asymmetry, showing a selective increase in readout for the tested-second item only when it became immediately task relevant. Together, these findings suggest that sustained alpha-band activity primarily reflects attentional prioritization, rather than general memory maintenance. Unattended, deprioritized items appear to transition into an activity-quiescent state, consistent with models of synaptic storage in WM.

doi.org

New preprint! We mapped out how ‘diffuse’ predictions affect neural representations. We show predictions reshape the geometric layout of the neural representations by compressing the representational spread and stabilize the neural code by reducing the neural variance during memory encoding.

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 5mo ago

Diffuse predictions stabilize and reshape the neural code during working memory encoding https://www.biorxiv.org/content/10.64898/2026.02.23.707359v1

Always wondered about whether perception is temporally discrete or continuous ⏱️👀? Stop by poster #67 this morning at #ECVP, where I introduce a simple *continuous* rolling window model that accounts for some classic visual phenomena, like band-pass filtering, visible persistence and postdiction.

🚨 New preprint: Invisible neural frequency tagging (RIFT) for the underfunded researcher: 👉 www.biorxiv.org/cgi/content/... RIFT uses high-frequency flicker to probe attention in M/EEG with minimal stimulus visibility and little distraction. Until now, it required a costly high-speed projector.

Rapid Invisible Frequency Tagging (RIFT) with a consumer monitor: A proof-of-concept

Rapid Invisible Frequency Tagging (RIFT) enables neural frequency tagging at rates above the flicker fusion threshold, eliciting steady-state responses to flicker that is almost imperceptible. While R...

biorxiv.org

Our new paper out now in Science explores how neural activity in the lateral entorhinal cortex (LEC) *drifts* over time - and *jumps* at key boundaries - to help organize events in memory. 🔗 www.science.org/doi/10.1126/... Here's a quick summary of what we found 🧵👇

Event structure sculpts neural population dynamics in the lateral entorhinal cortex

Our experience of the world is a continuous stream of events that must be segmented and organized at multiple timescales. The neural mechanisms underlying this process remain unknown. In this work, we...

science.org

Edvard I Moser@edvardmoser.bsky.social · last yr.

Your brain doesn’t just passively track time ⏳ - it structures it. In @Science.org we show that activity in 🧠 memory circuits (LEC) drifts constantly, but makes sharp jumps at key moments, segmenting life into meaningful events. (1/2) 👉 www.science.org/doi/10.1126/...