Oliver Vikbladh retweeted
Really impressive identification of this functional circuit!
Even better it just needs continuous attractor dynamics & firing rate adaptation (or similar) to work, which also makes some new predictions (model with @zilong_ji, Tianhao Chu, Si Wu)
sciencedirect.com/science/ar…...
Oliver Vikbladh retweeted
Cognitive models of behavior are a key part of neuroscience. But discovering them is hard!
In new work from @GoogleDeepMind Neuroscience and collaborators @HHMIJanelia, we demonstrate an approach that uses LLMs and large datasets to discover models automatically.
Oliver Vikbladh retweeted
I’m excited to share our new, open-access paper published today in @NatMentHealth, “Latent mechanisms of language disorganization relate to specific dimensions of psychopathology”. nature.com/articles/s44220-0…
Oliver Vikbladh retweeted
New preprint with @DaniSBassett and @nathanieldaw!
How do humans learn predictive representations? We propose a trial-by-trial learning rule that incorporates trace updating to learn the SR.
biorxiv.org/content/10.1101/…
Oliver Vikbladh retweeted
👀🍟Now out in Cognitive Science 😋🤖
We present a new approach that combines cognitive models and neural networks to predict latent preferences.
onlinelibrary.wiley.com/doi/…
ALT Inverting Cognitive Models With Neural Networks to Infer Preferences From Fixations Evan M. Russek, Frederick Callaway, Thomas L. Griffiths Neural networks can be pretrained on simulated data from cognitive models to infer people’s preferences from their behavior. This approach enables the prediction of preferences from eye fixations made before a choice, even with limited human data.
Oliver Vikbladh retweeted
Super thrilled to share our years of work on human replay with the world, now out in Cell @CellCellPress, cell.com/cell/fulltext/S0092… with my amazing supervisors: @behrenstimb @zebkDotCom and Ray Dolan. @WCHN_UCL @MPC_CompPsych @OxfordWIN @DeepMindAI (1/16)
Oliver Vikbladh retweeted
super thrilled, honored and frankly excited to say that our paper on hippocampal replay of non spatial task states has been published in @sciencemagazine today!!
tldr:hippocampal replay cares about task states+might help OFC learn them.
fun teamwork with the amazing @yael_niv
Decoding sequential replay with fMRI. Big congrats @nico_schuck who demonstrates the importance of sequential reactivation in the human hippocampus for nonspatial decision-making and establishes the feasibility of investigating such rapid signals with fMRI science.sciencemag.org/conte…
Oliver Vikbladh retweeted
Preprint: Value-based framework for understanding cooperation. Starting from neuroeconomic models of decisions and proposing directions for research focusing on memory, attention and social interaction!
psyarxiv.com/bkn3j
w. @TessaShussmy @diegoareinero @jayvanbavel
Oliver Vikbladh retweeted
Excited to share our new paper in @PNASNews exploring how information about duration is incorporated into human hippocampal (and CA1) long-term sequence representations:
pnas.org/content/early/2019/…
Oliver Vikbladh retweeted
New lab preprint on human single neurons that represent to-be-remembered spatial locations.
Single-neuron representations of spatial memory targets in humans biorxiv.org/cgi/content/shor… #biorxiv_neursci
Oliver Vikbladh retweeted
"Reward retroactively prioritizes memory for objects closest to the reward" in humans go.nature.com/2A6SKKS New paper from Daphna Shohamy lab at Columbia!
Oliver Vikbladh retweeted
Given how flexible our attitudes can be, we should be more humble about the attitudes we hold, and this might be a long term recipe for depolarization.
Wrote something for Scientific American together with @jayvanbavel
scientificamerican.com/artic…
Oliver Vikbladh retweeted
A multi-echo multi-band fMRI protocol with 7T vs. 3T leads to 200-300% improvement in tSNR. This helps to uncover differences in VTA-seed FC between depressed patients & healthy controls. Very promising work by
@JMurrough's group. biorxiv.org/content/early/20…
Oliver Vikbladh retweeted
Our new #bioRxiv preprint examining allocentric boundary and goal direction coding in the human entorhinal cortex and subiculum is now online: biorxiv.org/cgi/content/shor… @josepedrovh @WolbersLab @DZNE_en
Oliver Vikbladh retweeted
Excited to share our new preprint with Marc Howard, "Predicting the future with multi-scale successor representations". Mathy, but we've tried to give intuitive explanations of equations. Would love to hear thoughts!
biorxiv.org/content/early/20…
Oliver Vikbladh retweeted
Big Nature Neuroscience day for us: @marcelomattar's fab theory of place cell replay came out rdcu.be/9Pjq with a kind N&V from @john_widloski & David Foster goo.gl/FtdDE6, and (coincidentally) a piece from me about how it all started rdcu.be/9Plt
Oliver Vikbladh retweeted
Fast-backward replay of sequentially memorized items in humans. Paper on replay in working #memory out in @eLife elifesciences.org/articles/3…
Oliver Vikbladh retweeted
Hippocampal State Transitions at the Boundaries between Trial Epochs biorxiv.org/cgi/content/shor… #biorxiv_neursci
Oliver Vikbladh retweeted
New insights concerning the exploration/exploitation trade-off using a paradigm inspired by @nathanieldaw 's 2006 paper in which we included a complete feedback condition to reduce the need for direct exploration
Oliver Vikbladh retweeted
Now out in @cellreports: theta coordinates the reactivation of memories during both wakefulness and sleep. Featuring @doellerlab, @neuosc, @RaschLab and @stdgl
cell.com/cell-reports/fullte…
