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@elduvelle @eLife El this is one to be super proud of, congrats!! Amazing how much ground you cover - I did a quick read but lots to dig into further. Writing is very clear for such a complex topic. Great service to the field!

Ben Kanter boosted

Hi all 😃
Our latest #Review on #SplitterCells is now published in @eLife !!
I will probably write a real thread on it when I get a chance... for now:

link: elifesciences.org/articles/823

why: some neurons in the #Hippocampus (and other brain regions) of #Rats (and other mammals) have the fascinating ability to discriminate not just different presents, but different past or future states or trajectories in the same current situation. They could be related to #EpisodicMemory or #DecisionMaking 🤔​They are called 'trajectory-dependent cells' or Splitter Cells. 🔀​ We tried to make sense of them!

what: Hippocampal Splitter cells do a lot of puzzling stuff. For example there's a lot of them even in tasks that do not require the Hippocampus to be solved. They spread asymmetrically on a linear track leading to a choice point - 'past' splitters around the start and 'future' splitters towards the choice point. #TimeCells cells can be splitter cells (but they're usually #PlaceCells). Splitter cells evolve with experience, or maybe it is performance, nobody really knows. ​⁉️​ ... and a lot more weird stuff

conclusion: Two different computational models, the temporal context model and the latent state model, each explain a subset of the properties of splitter cells... so perhaps the Hippocampus implements both! But more experiments are needed to disentangle them 😄

now what: questions or comments? Please let us know!! ✍️

#Neuroscience #Cognition #NeuroPaper

Ben Kanter boosted

@dlevenstein @tyrell_turing @NicoleCRust @cogneurophys @charanranganath @PessoaBrain
@dbarack

This is a little different, but Paul Glimcher's book (mitpress.mit.edu/9780262572279) spends a lot of time going through the history of the Sherringtonian view and how it has led us astray. In a nutshell, the Sherringtonian (which is basically a Cartesian or Pavolovian view) is that action is a reflex in response to sensory input. Paul draws on game theory (in particular the work of John Maynard-Smith) to argue that competing animals cannot be "reflexive" because we need to be unpredictable. I don't recall if he directly connects this unpredictability with attractor dynamics

Ben Kanter boosted
Ben Kanter boosted
Ben Kanter boosted

Honestly pretty fascinated by the gloomy person with two mouths. Is this what science is?

"What is behavior? No seriously, what is it?"

biorxiv.org/content/10.1101/20

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Ben Kanter boosted

Something deeply unsettling is growing in the top left picture

"One-to-one mapping between deep network units and real neurons uncovers a visual population code for social behavior"

biorxiv.org/content/10.1101/20

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Ben Kanter boosted

#Introduction
I'm a professional editor with @NatureEcoEvo. I spend my days reading a huge variety of ecology manuscripts and helping papers through the review process.

I lurk on sites like this one (and Twitter for now) to stay aware of what ecologists are excited about. I also share exciting recent papers and editorial rants/wisdom from time to time.

Before becoming an editor, my research background was in disease ecology and animal behavior.

Ben Kanter boosted

RT @EstherEKuehn
Are you fascinated by the question how bodily experiences are stored in memory and infuence #mentalhealth ? @ERC_Research funded #PhD and #Postoc positions in my group @MedTuebingen @uktuebingen #HIHTue in Tübingen GER on Body Memory hih-tuebingen.de/de/karriere/k

Ben Kanter boosted

I don’t see them here, so check out this amazing project! h/t @Neurograce

Ben Kanter boosted

New paper: preclinical proof of concept of retinal functional ultrasound for assessing neurovascular coupling alterations non-invasively.
Such alterations could be early markers of neurodegenerative diseases.
Ultrasound does not go through the skull so easily so we use the retina as a functional window to the brain.

We demonstrate this on rat models of Alzheimer's disease.

Ben Kanter boosted
Ben Kanter boosted

psyarxiv.com/2uxwk/
This paper is so awesome it is prompting me to write my first toot.
The science, the writing, the conclusion about scientific writing. I laughed out loud multiple times reading it. Hats off!

Ben Kanter boosted

Hmm. I am usually the last to join a new technology/trend (refused cell phones for years, didn't want to upgrade from windows 3.11 to 95 😃 and kept Keynote9 for way too long). So moving to mastodon so early makes me nervous.

Consider this my @introduction. I am tentatively here :).

Computational neuroscientist by training (RL FTW), now comp psychiatry & psychotherapy (human behavior & individual diff FTW), and on sabbatical learning & practicing CBT! Lab @ Princeton full of wonderful people.

Ben Kanter boosted

🚨 BIG DATA RELEASE 🚨 We are beyond excited to announce the release of our Brain Wide Map of neural activity during decision making! It consists of 547 Neuropixel recordings of 32784 neurons across 194 regions of the mouse brain 🐭🧠

All these recordings were performed in a distributed fashion in 12 different labs, spanning Europe and the US 🌎 Rigorous standardization of methods and materials allowed us to pool the data from these labs together into a single gigantic dataset 🐙

Mice are performing our standardized perceptual decision-making task in which they have to position a stimulus in the center of a screen to receive reward. The dataset contains the stimuli and decisions, but also videos from three angles and DeepLabCut pose information. We're even releasing all the raw ephys data!

We know, it's a lot. At your own pace you can read all the details about the experimental setup, the task, processing of the data, and much more in the technical paper which accompanies this data release: figshare.com/articles/preprint

To explore the data at your leisure, visit our visualization website where you can scroll through different recording sessions, look at neural activity during example trials, and see trial-based activity of single neurons: viz.internationalbrainlab.org

Do you have itchy fingers to run your models on this humongous dataset? We totally get it! Here you can find how to download the data using our API so you can fire up those computing clusters: int-brain-lab.github.io/iblenv

This was a collective effort of our stellar team, who all put in so much work to make this monumental achievement possible. Our collaboration consists of 22 PIs, 37 researchers, and 11 staff members who all worked tirelessly to bring these data to you, the community 👏🍾

Ben Kanter boosted

Greetings fediverse!

Time for my official #introduction.

I'm a #PhD researcher in Cognitive #Neuroscience based in Leipzig (Germany) where I work with @martin_hebart and many more wonderful scientists.

I'm primarily interested in how the brain builds representations of every-day objects in a way that supports our experience and behavior. And I get to use some seriously cool large-scale #fMRI data to do so! (check out the preprint here: tinyurl.com/4c28uny6).

Great to meet all of you!

THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior

Understanding object representations requires a broad, comprehensive sampling of the objects in our visual world with dense measurements of brain activity and behavior. Here we present THINGS-data, a multimodal collection of large-scale datasets comprising functional MRI, magnetoencephalographic recordings, and 4.70 million similarity judgments in response to thousands of photographic images for up to 1,854 object concepts. THINGS-data is unique in its breadth of richly-annotated objects, allowing for testing countless hypotheses at scale while assessing the reproducibility of previous findings. Beyond the unique insights promised by each individual dataset, the multimodality of THINGS-data allows combining datasets for a much broader view into object processing than previously possible. Our analyses demonstrate the high quality of the datasets and provide five examples of hypothesis-driven and data-driven applications. THINGS-data constitutes the core release of the THINGS initiative (<https://things-initiative.org>) for bridging the gap between disciplines and the advancement of cognitive neuroscience. ### Competing Interest Statement The authors have declared no competing interest.

tinyurl.com
Ben Kanter boosted

There's a bit of a storm happening around the criteria for joining fediscience.org - the Mastodon instance for scientists, on which I'm hosted.

It's been noted that the requirement to be a publishing scientist (who has published in the past 5 years) will exclude many junior scientists, retired sciences, and those who have maybe switched to teaching.

I agree with these concerns and wonder if the criteria can be changed to be more inclusive?

Cc fediscience.org/@FrankSonntag

Ben Kanter boosted
Ben Kanter boosted

Time for an #introduction! I'm a research scientist at MIT and I run lookit.mit.edu, a platform for remote infant & child development studies.

I'm generally interested in open science, big collaborations, and building tools for reproducible science & data management. I love being curious about how & why we work the way we do!

My research background is in language acquisition and cognitive development (event semantics! transitive verbs!)

Some projects:

Ben Kanter boosted

Hello, #Mastodon! Greetings from my hospital bed.

This image depicts blood vessels in a pigeon’s head. It was captured by the veterinarian Scott Echols as part of an ongoing endeavour known as the Grey Parrot Anatomy Project, which aims to develop ways to aid diagnosis and treatment for a host of animals, from birds to humans. By understanding what is normal, doctors and scientists are better positioned to identify and ultimately treat the abnormal. #sciart #ScienceMastodon #medicalhistory

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