@reznikdan

University of Oxford & Kavli Inst. for Systems Neuroscience https://xitter.cf/t.co/w9mp2bgmYa

 Trondheim, Oxford
Joined October 2016
  • Tweets601
  • Following104
  • Followers333
23Media
Now online in @CurrentBiology ! 📢💥 Using 7T precision fMRI, we discovered new organizational principles of human entorhinal cortex and of human hippocampal-entorhinal system. doi.org/10.1016/j.cub.2024.1… With @doellerlab, Menno Witter, @DanielMargulies, @Neuro_Conn. 🧵👇 1/5
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🚨 New Postdoc Position @BottiniLab, University of Trento 🚨 AI-driven eye-tracking and neural decoding of mental images and dreams (fMRI/MEG + ML/DNN). 📌Deadline: August 29th, 2025 👉Details and application here:drive.google.com/file/d/1B1g… #Postdoc #Neuroscience #AI #Neuroimaging

Postdoc position_ML_2025b.pdf

drive.google.com
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Daniel Reznik retweeted
Damien Fair@DrDamienFair10 Aug 2025
I still get chills Meet Mike *30+ years severe depression *first hospitalized @ 13y *20 meds *3 rounds of ECT *2 near-fatal suicide attempts Mike felt joy for the first time in decades after we turned on his new brain pacemaker or PACE see paper, thread doi.org/10.31234/osf.io/5c3b…
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Our new paper is out @CellReports! Rebekka Tenderra @r_tenderra et al show that intelligence is linked to interindividual differences in relational integration in hippocampal cognitive maps, supporting an information processing based view on intelligence: cell.com/cell-reports/fullte…

Human intelligence relates to neural measures of cognitive map formation

Tenderra et al. show that human intelligence is linked to interindividual differences in relational integration in hippocampal cognitive maps. Map-like representations of information learned piecem...

cell.com
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Daniel Reznik retweeted
Mats van Es@mats_van_es31 Jul 2023
As promised, the pre-print I presented at @OHBM #OHBM2023 is here! We found that large-scale cortical networks in MEG are activated in cycles. Another fruitful collab with @camhiggins @OxfordWIN @OHBA_Oxford tinyurl.com/25b48rne
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🧠New Viewpoint: Thinking as Analogy-Making: Toward a Neural Process Account of General Intelligence🔗jneurosci.org/content/45/18/… I outline that neural structure mapping - abstracting and reasoning based on relational knowledge - may play a key role in general intelligence

Thinking as Analogy-Making: Toward a Neural Process Account of General Intelligence

What is the secret of human intelligence? A key discovery in psychology is that performance correlations across diverse cognitive tasks are explained by a few broad abilities and one overarching...

jneurosci.org
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Our work together with @doellerlab, @PatrickHaggard, @vigano_s, @reznikdan in @NatureComms!
MPI für Kognitions- & Neurowissenschaften@MPI_CBS5 May 2025
#Human capacity to develop a diverse and highly complex repertoire of #action plans is truly remarkable 🏌️‍♀️⛹️‍♀️Irina Barnaveli & team @doellerlab explore in their study @NatureComms how the #brain organizes action plans, using #virtualreality: tinyurl.com/55ne858s
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Beautiful and important work addressing the role of hippocampal ripples in memory reinstatement.
This Post is from an account that no longer exists. Learn more
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PNASNews@PNASNews10 Feb 2025
One of the most-viewed PNAS articles in the last week is “Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony.” Explore the article here: ow.ly/Bs2Y50UWRiN For more trending articles, visit ow.ly/MC0I50UWRiO.
Double descent of prediction error. Degree-one, degree-three, degree-twenty, and degree-one-thousand polynomial regression fits (magenta; from Left to Right) to data generated from a degree-three polynomial function (green). Low prediction error is achieved by both degree-three and degree-one-thousand models.

ALT Double descent of prediction error. Degree-one, degree-three, degree-twenty, and degree-one-thousand polynomial regression fits (magenta; from Left to Right) to data generated from a degree-three polynomial function (green). Low prediction error is achieved by both degree-three and degree-one-thousand models.

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Michal Ramot@MichalRamot24 Feb 2025
New preprint! 🧵 Are perception and memory fundamentally independent processes, or are they overlapping and impossible to disentangle? We turn to the well studied face system to ask this question, using a new task and 4 datasets with 800+ participants. biorxiv.org/content/10.1101/…

Behavioural separation of face memory and face perception

A long-standing debate in neuropsychology concerns whether perception and memory function as independent systems or interact to support cognition. To investigate this, we developed the Face Memory...

biorxiv.org
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Exploring the role of dimensionality transformation in episodic memory Opinion by Casper Kerrén (@CKerren), Daniel Reznik (@reznikdan), Christian F. Doeller (@doellerlab), & Benjamin Griffiths tinyurl.com/ms7ph255
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Jingnan Du
@jingnandu04926 Feb 2025
[PREPRINT❗️❗️] Very excited to share our latest work on precision mapping of brain networks exclusively using task data! 🧠 With @max12elliott @jladopoulou Mark Eldaief and @RandyLBuckner biorxiv.org/content/10.1101/… (1/6)

Within-Individual Precision Mapping of Brain Networks Exclusively Using Task Data

Precision mapping of brain networks within individuals has become a widely used tool that prevailingly relies on functional connectivity analysis of resting-state data. Here we explored whether...

biorxiv.org
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Pls RT: PhD & postdoc opportunity in Research Group Neural Codes of Intelligence @MPI_ae! Projects focus on cognitive neuroscience of concept representations & reasoning (fMRI/MEG): tinyurl.com/2v2zpkkk & //tinyurl.com/3mdetwar
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Yuval Hart@uvhart6 Dec 2024
New paper w/ the brilliant @OdedWertheimer suggests a new computational framework for ASD variation, framing it as a computational trade-off between precise signal encoding and fast adaptation to changes, driven by neuronal dynamic range. nature.com/articles/s41593-0…

Autism spectrum disorder variation as a computational trade-off via dynamic range of neuronal...

Nature Neuroscience - Individuals with autism spectrum disorder show neural patterns different from those of neurotypical individuals. Here the authors show that this variation reflects a...

nature.com
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Daniel Reznik retweeted
Roey Schurr@RoeySchurr7 Dec 2024
Inspiring work on the computational basis of ASD at the neuronal level. Go get it while it's fresh!
Yuval Hart@uvhart6 Dec 2024
New paper w/ the brilliant @OdedWertheimer suggests a new computational framework for ASD variation, framing it as a computational trade-off between precise signal encoding and fast adaptation to changes, driven by neuronal dynamic range. nature.com/articles/s41593-0…

Autism spectrum disorder variation as a computational trade-off via dynamic range of neuronal...

Nature Neuroscience - Individuals with autism spectrum disorder show neural patterns different from those of neurotypical individuals. Here the authors show that this variation reflects a...

nature.com
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Claudia Passos@cpassosf27 Oct 2024
Announcing the NYU infant consciousness conference, Feb 28-March 1. We have a wonderful line-up: Tim Bayne @De_dicto Susan Carey @AnnaCiaunica @ghisdl @joel_frohlich @AlisonGopnik @SidKouider @LorinaNaci Yusuke Nakashima. philevents.org/event/show/12…
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Dear colleagues, please circulate, I am looking to fill a PhD position in computational neuroscience - fully funded (3 years). Part of an international collab. (4 labs) to test and develop further computational models of episodic and spatial memory cbs.mpg.de/psychology/neural…

Max Planck Research Group Neural Computation

cbs.mpg.de
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Daniel Reznik retweeted
Noa Herz@Noa_Herz19 Nov 2024
🚨 Postdoc alert! If you're passionate about cognitive & clinical neuroscience and skilled in electrophysiology + coding, please apply! Details & job link below: acrobat.adobe.com/id/urn:aai…

Adobe Acrobat - postdoc_2024HerzLab.pdf

View this file, and add comments too.

acrobat.adobe.com
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Jennifer Hu@_jennhu25 Oct 2024
I'm recruiting PhD students + postdocs for my lab, coming to @JohnsHopkins in Fall 2025! Our brand new lab is at the intersection of cognitive science and AI, using computational + behavioral methods to understand how language works in minds and machines. Details below! (1/4)
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UW-Madison Psychology is hiring a new assistant professor in the area of computational approaches to language (broadly construed). Please share with interested parties! jobs.wisc.edu/jobs/assistant…
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Wie wir uns orientieren und wie künstliche Systeme #artificalintelligence lernen - darüber diskutiert Gert Scobel mit unserem Direktor der Abteilung #Psychologie Christian Doeller @doellerlab und dem Linguisten Patrick Krauss: 3sat.de/wissen/scobel/scobel…

Wie wir uns orientieren

Für unsere Orientierung gibt es Rezeptoren im ganzen Körper. Permanent senden sie Signale ans Gehirn, die dort in nahezu Echtzeit verarbeitet werden. Nur so können wir uns koordiniert bewegen.

3sat.de
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