#cognitiveScience

2026-01-24

๐Ÿง โš–๏ธ How our #brain makes #decisions & free will arises ๐Ÿ”โœจ

In this #Zoomposium, #DanielDennett explains how #consciousness, #freewill, and decision-making can be understood from a #naturalisticperspectiveโ€”and how insights from #cognitivescience and #philosophy help us better understand the #complexity of our #mind.

๐Ÿ“ฝ youtu.be/M2qiVz95ZYk

๐Ÿ“Ž philosophies.de/index.php/2023

#PhilosophyOfMind #ArtificialIntelligence #AGI #Naturalism #Materialism

Zoomers of the Sunshine Coast ๐Ÿ‡จ๐Ÿ‡ฆSCZoomers@mstdn.ca
2026-01-22

The breakthrough: don't suppress chaos, navigate it. Learn to work WITH your network's rich, high-dimensional internal dynamics instead of forcing them into rigid order.

It's the difference between damming a river and learning to read its currents.

#CognitiveScience #ComputationalNeuroscience

Christopher Potts (@ChrisGPotts)

The Void(์ž‘์„ฑ์ž nostalgebraist)์—์„œ ๋งํฌํ•œ ๊ธ€๋กœ, MiniHF์— ์˜ฌ๋ผ์˜จ 'Hermes Lecture 3: Why do cognitive scientists hate LLMs?'๋ฅผ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค. ๋ฏธ๋ž˜์˜ AI์—๊ฒŒ ์™œ ๋งŽ์€ ์‚ฌ๋žŒ๋“ค์ด LLM์„ ๋ถˆ์‹ ํ•˜๋Š”์ง€ ์„ค๋ช…ํ•˜๋ ค๋Š” ํŽธ์ง€ ํ˜•์‹์˜ ์‚ฌ์œ ๋กœ, LLM ๋ถˆ์‹ ์˜ ์ธ์ง€๊ณผํ•™์ ยท์‚ฌํšŒ์  ์›์ธ๊ณผ ์‹ ๋ขฐ ๋ฌธ์ œ๋ฅผ ์„ฑ์ฐฐํ•˜๊ฒŒ ํ•˜๋Š” ์—ฐ๊ตฌยท๋น„ํ‰์„ฑ ๊ธ€์ž…๋‹ˆ๋‹ค.

x.com/ChrisGPotts/status/20134

#llms #ai #ethics #cognitivescience

Adrian SegarASegar
2026-01-20

What can we learn about conference design from the Mars Rover and cognitive science? Create events that feed curiosity!

conferencesthatwork.com/index.

cognitive science: A composite image of the Mars Curiosity Rover. Photo attribution: Flickr user tjblackwell.
The Grizzly Labsthegrizzlylabs
2026-01-20

Where did I put my passport? ๐Ÿ”Ž๐Ÿ˜ถ๐ŸŒซ๏ธ

We all forget things. Forgetting isnโ€™t always a flaw; itโ€™s part of how the brain prioritizes.

Explore the science behind forgetting, and how simple habits can help reduce it.
blog.thegrizzlylabs.com/2026/0

bartosz ๐Ÿšฒ๐ŸŒณ๐Ÿ๐Ÿฆ€btel
2026-01-20

RE: mastodon.social/@h4ckernews/11

A very interesting article on how LLMs might actually work. I am sceptic about the overextension of the work to cognitive sciences but the authors make a good point. I wonder what the actual cognitive scientists might say.

Microglyphicsmicroglyphics
2026-01-19

The modern study of consciousness has all the hallmarks of a well-funded expedition that forgot to ask whether the terrain supports arrival.
๐Ÿ”— philosophics.blog/2026/01/19/w
The problem isnโ€™t a lack of data or formalism. Itโ€™s a category error. Consciousness is not an object 'out there' to be discovered.

๐ŸŽง NotebookLM audio: open.spotify.com/episode/3kEWX

The Inquisitive Biologistinqbiol@scicomm.xyz
2026-01-17

This week's #NewBooks at the library:
- I bought a second-hand copy of #Isotopes: Principles and Applications, published by Wiley. Isotopes are hugely important in various branches of science, and I have it in mind to get to grips with the finer details at some point.
- I found a copy of Simon Lamb's Devil in the Mountain: A Search for the Origin of the Andes at a local charity shop, a classic from @princetonupress
- And I bought a copy of Paul Thagard's Bots and Beasts: What Makes Machines, Animals, and People Smart? from @themitpress for basically the price of a packet of crisps.
#Chemistry #Physics #Geology #EarthSciences #Orogeny #CognitiveScience #Cognition #Intelligence #Books #Scicomm #Bookstodon @bookstodon

A photo of three books standing on a small, brown, wooden table. The out-of-focus background shows black shelves full of books and part of the beech-coloured laminate floor.

On the left, Isotopes: Principles and Applications, showing a chunky hardback book with a bluish-black cover. A band of large ochre and brown pixels is running diagonally across the bottom-left corner. Though no explanation is given on the cover, this is a close-up of a colourised schematic plot that shows nuclides and their decay products 

In the middle, Devil in the Mountain: A Search for the Origin of the Andes, showing a colour photo of a group of small, single-storey concrete buildings on a barren hillside with a huge mountain range with snow-covered peaks in the background. This photo is reproduced in the book, with the legend explaining that this is a small cemetery on the road to the Zongo Valley in the Cordillera Real, just north of La Paz. The peak in the background is the 6088 metre high peak of Huayna Potosi.

On the right, Bots and Beasts: What Makes Machines, Animals, and People Smart?, showing a colour photo of three figures, a small white robot, a woman, and a dog, in a grassy field facing the viewer, the out-of-focus background showing a blue sky.
2026-01-15

Here is a summary of Melanie Mitchell's keynote lecture at the most recent NeurIPS - "On Evaluating Cognitive Capabilities in Machines (and Other "Alien" Intelligences)". I think the points she raises are very relevant and important for people working in AI (and adjacent fields).

aiguide.substack.com/p/on-eval

#AI #AIResearch #generativeAI #ArtificialIntelligence #CogSci #CognitiveScience

2026-01-15

Here is a summary of Melanie Mitchell's keynote lecture at the most recent NeurIPS - "On Evaluating Cognitive Capabilities in Machines (and Other "Alien" Intelligences)". I think the points she raises are very relevant and important for people working in AI (and adjacent fields).

aiguide.substack.com/p/on-eval

#AI #AIResearch #generativeAI #ArtificialIntelligence #CogSci #CognitiveScience

2026-01-14

Next was a great talk by Ko Sakai on building scenes from pixels in the mid-level visual pathway at the Okinawa Institute of Science and Technology youtube.com/watch?v=6sj0pUAPIi8 (3/8) #CognitiveScience #neuroscience

Vassil Nikolov | ะ’ะฐัะธะป ะะธะบะพะปะพะฒvnikolov@ieji.de
2026-01-13

Do you remember this question:

How Can Slow Components Think So Fast?

This was the title of the 1988 Spring Symposium on Parallel Models of Intelligence, Stanford, California.
(Note that the pulse rates of biological neurons are several _orders of magnitude_ lower than clock rates of computer processors, even though one cannot be directly compared to the other.)

I think the answer has been known, or strongly suspected, for a long time.
Maybe it was proposed at that symposium itself.

As this BBC article puts it:
ยซ... a leading theory about how our brains deal with visual information called predictive coding. It suggests that our visual system doesn't just passively process features in our surroundings when we look around. Instead, it first predicts what it expects to see by drawing on past experience before it processes discrepancies in the input from our eyes. This allows us to see more quickly.ยป

Furthermore, using computer models to help understand human cognition has long been one of the goals of cognitive science.

From the BBC:
AI can now 'see' optical illusions. What does it tell us about our own brains?
<bbc.com/future/article/2025121>

#AI
#ArtificialIntelligence
#CognitiveModeling
#CognitiveModelling
#CognitiveScience

2026-01-12
Computer theorists thus form a neo-mechanistic school of philosophy. Their tenacious defense of some grossly exaggerated claims of what computers can and will do is more understandable if we realize that they represent a school of metaphysics.
Epistemology, the Mind and the Computer, Henryk Skolimowski, 1972

#AI #ComputerScience #CognitiveScience #mind #PhilosophyOfMind
2026-01-09

๐Ÿธ #Frogseye: Simple #vision, complex behavior explained ๐Ÿง 

The frog does not need a complete representation of reality, only what is relevant for successful action. #DanielDennett describes such mechanisms as โ€œ#userillusionsโ€โ€”functional simplifications that control #behavior.

๐Ÿ“ฝ youtu.be/M2qiVz95ZYk

๐Ÿ“Žphilosophies.de/index.php/2023

#PhilosophyOfMind #CognitiveScience #Neuroscience #Consciousness #Perception #Zoomposium

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