Teixi

@teixi
581 Followers
714 Following
3.9K Posts

Teixi is a Software Craftsman.

Global Distributed Systems enabling Embedded Devices in Personal, Home, or Industrial Solutions.

Interested in Neuroscience LabTech & Non-invasive MedTech.

+++ #IoT #IIoT
--- #AI #AIoT
~~~ #neurodon #neuroscience

About Mehttps://about.me/teixi
Verification Header Testhttps://iot.teixi.net/htest
Verification Body Testhttps://iot.teixi.net/btest

Processes, not things!

Elusive Cures
Why Neuroscience Hasn’t Solved Brain Disorders —and How We Can Change That

Cool & Bold refocusing rethinking by @NicoleCRust

https://press.princeton.edu/books/hardcover/9780691243054/elusive-cures

#weekendreading #NeuroBooks #neurodon #neuroscience #philosophyofneuroscience #neurophilosophy #systemsneuroscience

FIGURE 16: A framework for thinking about the brain as a complex adaptive system.

Via @deevybee review of nowadays much needed didactical #scicomm book

» provides practical tools for verifying the statistical consistency of published research.

It's available as a free ebook, making it accessible to the scientific community.
...
made the subject highly approachable. «

An Introduction to Forensic #Metascience

by @jamesheathers

https://goodscience.substack.com/p/book-review-an-introduction-to-forensic

• Knuth #LiterateProgramming approach

• 'It says in mice' in pg 45 2 same mice

• Didn't expect @sTeamTraen AI critique!

Book Review: "An Introduction to Forensic Metascience"

Guest column by Harvey Motulsky

The Good Science Project

#reading #ML
Mitigating Bias in Machine Learning

Edited By @drcaberry
Brandeis Hill Marshall

„We dedicate this work to the diverse voices in #AI who work tirelessly to call out bias and work to mitigate it and advocate for #EthicalAI every day.
Some of the trailblazers doing the work are
@ruha9
@timnitGebru
@cfiesler
Joy Buolamwini
@ruchowdh
@safiyanoble
We also dedicate this work to the future engineers, scientists, and sociologists who will use it to inspire them to join the charge.“

HT x this cool one:

» There are also challenges with the analytical and computational methods employed to detect ensembles.
...
Perhaps inspiration and methods could be drawn from other fields where emergent properties have been studied and modeled,
...
essentially all knowledge gathered about ensembles stems from experimental animal preparations, with an almost complete ignorance of how these mechanisms play out in the human brain. «
https://doi.org/10.1016/j.neuron.2023.12.008

ps: forgot manifolds? subspace? ea?

From:
» what we called 'standard hypothesis'

..

Emotional stimuli are process initially, via a dedicated modular system that operates rapidly, automatically, in the sense of without attention, and largely independently of conscious awareness, and that defects..

..so this is not just a curiosity for researchers in the lab, it has enormous impact in in society.. «

To:
#heterarchy

A cool #neurolecture by @PessoaBrain
https://youtu.be/1fqM5FGQJdQ
#neuroscience
#neurobuzz
#systemsneuroscience

The Brain as a Distributed, Entangled System - Professor Luiz Pessoa

YouTube

» #Neuroscientists will need to open up to and embrace the uncomfortable possibility that the human #brain is a biological system that goes beyond what human intelligence alone can fully grasp without the assistance of AI tools applied to #bigdata «
https://doi.org/10.1016/j.neuron.2024.01.016

#AI expert authors seem not aware that almost all #neuroscience #labs are already publishing research employing #ML some even employing #LLMs

¯\_(ツ)_/¯

Then wrote a genuine BOX 1
Limitations of current LLM tools

#neurobuzz

What #TheLoneBanana Problem reveals about the Nature of #GenerativeAI

appears equally difficult or impossible to create a single grape or a single spear of asparagus

we propose to view generative #AIs as #StyleEngines
that encode very #AlienRepresentations of
the world, challenged by traditional expectations of accuracy & veracity,
but excelling at novel kinds
of creativity,
as they make available all kinds of aspects of the world as styles

https://aisel.aisnet.org/acis2023/86

og https://www.digital-science.com/tldr/article/the-lone-banana-problem-or-the-new-programming-speaking-ai/

What the Lone Banana Problem reveals about the Nature of Generative AI

Generative AIs have mushroomed, exhibiting astonishing text and image generation abilities. At the same time, these systems also show surprising weaknesses in terms of information accuracy, ability to solve simple maths problems, or the visualisation of simple objects. In this essay we take the so-called “lone banana problem”, the inability of Midjourney to generate a picture of a single banana (instead of a bunch), as our starting point to problematise our common-sense understanding, and related expectations, of generative AI. Through problematisation we highlight that many of the traditional IS assumptions of how systems represent real-world phenomena, and how algorithms work, need to be set aside for understanding generative AI more authentically. We suggest conceiving of generative AI as style engines that encode all aspects of the world - objects, properties, appearances - as styles available for creation. We discuss what this alternative conception affords, and implications for the IS discipline.

AIS Electronic Library (AISeL)

» But to what extent & at what scales
brain dynamics & function depend on the specific details of their nodes & edges

&, on the other hand,

to what extent
simple network structure retains sufficient information to account for brain structure, dynamics, & function

are not yet totally clear questions «

Does the brain behave like a (complex) network? I. Dynamics
https://doi.org/10.1016/j.plrev.2023.12.006

#complexsystems
#neurodon
#neurobuzz
#systemsneuroscience
#compneuro

HT subscribe:
https://mathstodon.xyz/@manlius/111744238092534983

» AI does not exist !

There's no decision-making process !
It's just identifying #patterns !
..
But also they just spit out #lies !

#AI does not tell the #truth !
There's no #fidelity !
..
AI is built on #datasets that are biased !

As a result the #decisions made by #AI are #biased !

Therefore it is #unethical to use AI to make decisions !

You need an expert checking the decision !

It is a #tool you can use,
but it should not be used by itself ! «

@acollierastro

https://youtu.be/EUrOxh_0leE?t=1750s

AI does not exist but it will ruin everything anyway

YouTube
The Scientist Who Drew Brains, and Then a Nobel Prize

With an artist’s eye ?and a scientist’s mind, ?anatomist Santiago ?Ramón y Cajal was the ?first to see—and illustrate?—what neurons really do. ?His exquisitely detailed ?drawings changed our ?understanding of the brain ?and nervous system.

Discover Magazine