Josephine Flockton
@jflockton.bsky.social
64 followers 120 following 5 posts
Cog Neuro PhD @york.ac.uk 🧠 Using MEG/OPM & EEG - interested in Predictive Coding, AI/ML, Consciousness, & ASMR
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Reposted by Josephine Flockton
colinwhoy.bsky.social
Ever slam on the brakes after seeing a speed trap? Or better yet, slow down ahead in anticipation?

In our new paper w/ @anask07.bsky.social in @cp-iscience.bsky.social, we use #iEEG to study the neural basis of reactive and proactive control in medial and lateral PFC.
tinyurl.com/4bbwbffv
jflockton.bsky.social
Thanks to @cfaa.bsky.social for having me speak at their AI symposium, & @heasutherland.com for joining me in our panel session on the science and considerations around AI use across different human-computer interactions. Glad to have met some lovely experts across a range of sectors using AI! ✈️ 👩‍💻 ⚓
Reposted by Josephine Flockton
Reposted by Josephine Flockton
kobedesender.bsky.social
Introducing hMFC: A Bayesian hierarchical model of trial-to-trial fluctuations in decision criterion! Now out in @plos.org Comp Bio.
led by Robin Vloeberghs with @anne-urai.bsky.social Scott Linderman

Paper: desenderlab.com/wp-content/u... Thread ↓↓↓

#PsychSciSky #Neuroscience #Neuroskyence
Reposted by Josephine Flockton
kristorpjensen.bsky.social
I’m super excited to finally put my recent work with @behrenstimb.bsky.social on bioRxiv, where we develop a new mechanistic theory of how PFC structures adaptive behaviour using attractor dynamics in space and time!

www.biorxiv.org/content/10.1...
Reposted by Josephine Flockton
qqzhang.bsky.social
Does predictive coding work in SPACE or in TIME? Most neuroscientists assume TIME, i.e. neurons predict their future sensory inputs. We show that in visual cortex predictive coding actually works across SPACE, just like the original Rao+Ballard theory #neuroscience
www.biorxiv.org/cgi/content/...
jflockton.bsky.social
Excellent weekend at #HTLGI25 enjoying some in-tents debates on philosophy, neuroscience, and AI, in London. Highlights included Alex O'Connor hosting a vibrant discussion ft. Karl Friston & Susan Schneider on the structure of consciousness, and Hilary Lawson's views on language and reality👌
jflockton.bsky.social
My first #BACN conference was brilliant - from sensory representations to rhythmic stimulation... and from touch to space-time! Happy to have met some wonderful minds and already looking forward to Brighton next year! 🧠
Reposted by Josephine Flockton
micahgallen.com
Check out our shiny app for Bayesian power analysis of interoceptive psychophysics!
Reposted by Josephine Flockton
degeelab.bsky.social
🧠✨ Exciting new research alert! ✨🧠

Did you know that catecholamines can reduce choice history biases in perceptual decision-making? 🧐🔍

Paper: journals.plos.org/plosbiology/...

With @donnerlab.bsky.social and @swammerdamuva.bsky.social
Reposted by Josephine Flockton
nbkroemer.bsky.social
New preprint...and this one is truly EPIC 🚨.

Using a large group of patients with depression and healthy controls (N>800), we show differences in the functional segregation of insular subnetworks. And we can use it to classify!
Led by @glassybrain.bsky.social #neuroskyence 🩺
osf.io/preprints/ps...
Graphical summary of the analysis pipeline Decreased similarity within the anterior insula cortex drives group differences between patients with MDD and healthy control participants. This difference is illustrated by shift functions and compared to control regions in the temporal cortex. Patients with depression can be robustly classified based on functional connectivity profiles, and the accuracy improves with increasing symptom severity.
Reposted by Josephine Flockton
mariamaly.bsky.social
We make predictions based on general knowledge and/or specific memories. Different brain areas are active when these distinct predictions are violated – and hippocampus selectively responds to prediction errors based on episodic memory.

Cool work by @chrismbird.bsky.social @ayab.bsky.social et al!
Hippocampal mismatch signals are based on episodic memories and not schematic knowledge | PNAS
Prediction errors drive learning by signaling mismatches between expectations and reality, but the neural systems supporting these computations rem...
www.pnas.org
jflockton.bsky.social
I'm looking forward to speaking about the human in human-AI teaming at the @cfaa.bsky.social symposium next month; touching on topics of prediction, decision-making, and trust, informed by neuroscience, in relation to safe and effective autonomy.

AltText: A promotional image with a teal background and a headshot of Josephine Flockton, a white woman with blonde hair and fringe who is smiling at the camera, in a circular orange frame. White text on the image reads: CfAA Symposium speaker: Josephine Flockton. Josephine is a cognitive neuroscientist and final year PhD researcher at the University of York, specialising in EEG, MEG/OPM, and predictive coding approaches to perception, interoception, and translational neuroscience applications to anxiety, sleep disturbance, and chronic pain. Alongside her PhD, she holds accreditation as a junior software engineer in AI and machine learning, and has a strong interest in how neurocognitive principles can inform safe and effective human-AI teaming. Drawing on expertise in brain dynamics, autonomic regulation, and predictive models of perception, she will examine how understanding human variability, uncertainty, and trust can guide the design of AI systems that align with human needs. Join us 23-25 September 2025. A University of York logo and Lloyd's Register Foundation logo sit left and right on the bottom of the image.