PI of the https://imaginerealitylab.org/ @uclbrainscience.bsky.social where we investigate the neural and computational mechanisms of mental imagery and reality monitoring. Activist about mental health and EDI in academia. She/her.
Nadine Dijkstra
Loading...
New paper with @paulm-k.bsky.social and Mark Stokes on how we switch internal attention between working memory contents. Beta-band oscillations tracked the magnitude and success of these switches.
www.jneurosci.org/content/46/1...
#neuroskyence
Can’t wait to see everyone at #VSS2026! We hope you can make it to our lab’s presentations! (see below) Come and visit us at the talks and posters, and make sure you come to our workshop about the community replication initiative re:vision. Low bar for entry! Details on the day of each presentation!
A short highlight of the beautiful recent work by @varunswadia.bsky.social, Doris Tsao et al., providing single-neuron evidence of the overlap between imagery and perception!
www.nature.com/articles/s41...
Interested in human replay and solid methods? Jointly with @skjerns.de we're releasing a benchmark dataset with known ground-truth neural sequences in MEG & fMRI, for developing & validating replay methods. First test: existing methods show similar effect sizes, but room to improve shorturl.at/6TgIr
Flexible prioritization in working memory (WM) is supported by neural oscillations in frontal and sensory brain areas, but the roles of different oscillations remain poorly understood. Recordings in h...
Excited about our new preprint: “The illusory simplicity of the feedforward pass: evidence for the dynamical nature of stimulus encoding along the primate ventral stream”
arxiv.org/abs/2604.12825
Work with Sushrut Thorat, Anna Mitola, Paolo Papale, Peter König & Tim Kietzmann
🧵 thread below
I could not be more excited for this!
A neuronal basis for mental imagery www.nature.com/articles/s41... by @smfleming.bsky.social @nadinedijkstra.bsky.social; #neuroscience
Super excited by this manuscript led by the amazing @brissend.bsky.social
By combining fMRI, TMS, and modeling, we finally have causal evidence that the cerebellum is contributing to brain-wide working memory representations and recall performance!
1/n
1/11 Happy to share our TICS paper on using the flexibility of one of the most basic cognitive functions, perception, to understand one of the most complex cognitive dysfunctions, psychiatric conditions (also my first formal work in computational psychiatry 🎉)
📄: www.cell.com/trends/cogni...
🧵 : 👇
Children acquire object category representations from their everyday experiences in the first few years of life.
What do the inputs to this learning process actually look like?
New preprint! arxiv.org/abs/2605.14990
Nick Myers
Studies in rodents and humans using invasive electrophysiology have established that neural replay is a ubiquitous phenomenon in the brain that is associated with a wide range of cognitive functions, ...
In studying primate vision, a large body of work focuses on the first feedforward sweep. During this initial time window, information is thought to pass through ventral stream regions in a stage-like ...
Children acquire object category representations from their everyday experiences in the first few years of life. What do the inputs to this learning process look like? We analyzed first-person videos ...
Perceptual multistability, observed across species and sensory modalities, offers
valuable insights into numerous cognitive functions and dysfunctions. For instance,
differences in temporal dynamics a...
Computational Behaviour launches July 2027! A fully remote two-week course, open to participants worldwide.
➡️ Learn more and get involved: neuromatch.io/computationa...
#ComputationalScience #ComputationalBehaviour #Neuroscience #OpenScience #Neuromatch #ConnectedMinds @connectedminds.bsky.social
Online Now: Perceptual multistability: a multifaceted window into brain dysfunctions
Perceptual multistability, observed across species and sensory modalities, offers valuable insights into numerous cognitive functions and dysfunctions. For instance, differences in temporal dynamics and information integration during percept formation often distinguish clinical from nonclinical populations. Computational psychiatry can elucidate these variations through two primary approaches: (i) Bayesian modeling, which treats perception as an unconscious inference, and (ii) an active, information-seeking perspective (e.g., reinforcement learning), which frames perceptual switches as internal actions. Our synthesis aims to leverage multistability to bridge these computational psychiatry subfields, linking human and animal studies as well as connecting behavior to underlying neural mechanisms. Perceptual multistability emerges as a promising noninvasive tool for clinical applications, facilitating translational research and enhancing our mechanistic understanding of cognitive processes and their impairments.
Cerebellar perturbation impairs human working memory and degrades spatial tuning throughout cortex https://www.biorxiv.org/content/10.64898/2026.05.14.724968v1
