#BrainInspired

Cool podcast episode on how we, our brain, form and use memories , 1.5hrs braininspired.co/podcast/206/
As audio-only and as YT video.
With transcript. So if you find the guest's Ciara Greene fast Irish difficult to follow you can read along.
#neuroscience #BrainInspired

Giacomo Indiveri :emacs:🧠giacomoi@fediscience.org
2024-12-31

Proud to have managed to finish a #neuromorphic manuscript, with Chiara De Luca, Mirco Tincani and Elisa Donati just before the end of the year!

It demonstrates the benefits of using #braininspired principles of computation for achieving robust computation across multiple time-scales, despite the inherent variability of the underlying computational substrate (silicon neurons that emulate faithfully biological ones):
A neuromorphic multi-scale approach for heart rate and state detection
doi.org/10.21203/rs.3.rs-57373
#neuromorphic #wearable #neuroai #SpikingNeuralNetwork

Teixiteixi
2024-03-26

New


in the & of
» when we try to understand something complex, like the brain, using models, and math, and analogies, for example - we should keep in mind these are all ways of simplifying and abstracting away details to give us something we actually can understand.
...
necessary to do the science and limit the interpretation we can claim from our results «
youtu.be/NwNHW4otoJQ

2024-02-12

I just listend to the #BrainInspired podcast with Andrea Martin. @andrea braininspired.co/podcast/169/

It was a tour de force on a variety of #linguistics and #nlp/ #LLMs topics. Wow.

@NicoleCRust @debivort @MolemanPeter @knutson_brain @kordinglab @dsmith @tdverstynen Right, so contextual constraints as causes just goes one important step further. The emergent properties that are hard to predict also meaningfully constrain the relationships/interactions between the individual components. Neurons are constrained by their neighbors, which are constrained by other brain areas, which are constrained by the brain as a whole, which are constrained by other people's brains, etc. These are all top-down constraints that can cause the "lower" components to behave in ways that would not be possible otherwise and would lack meaning without relation to the whole. If you define cause as efficient cause only, that's OK, and these can be labeled constraints. But I view them as equally causal.

And I'd formally model this myself but I know my limits ;)

I encourage you to check out Juarrero's book, even first 30 pages or so makes the point clear. Or listen to her on #braininspired for a summary.

#neurobuzz

2023-10-30

Check out this discussion moderated by Paul Middlebrooks from #BrainInspired with yours truly & a number of actual neuroscientists (Katrin Franke, Ralf Haefner, Martin Hebart & Fred Wolf) about if & how machine learning can be used to gain insights into the brain: braininspired.co/podcast/177.

2023-10-11

This latest episode of the #BrainInspired podcast, where Paul Middlebrooks interviews @WiringtheBrain is finger-licking good!

braininspired.co/podcast/175

I'm reading "Free Agents" right now, and it's amazingly well written, accessible, and gets right to the point.

press.princeton.edu/books/hard

Agency is real, not doubt about it, and it's not even that mysterious.

Teixiteixi
2023-10-05

Another Cool Episode conversing @WiringtheBrain new book:

» what I’ve done in the book is sketch what I think is just really a framework for thinking about those things
...
that an organism could have causal power in and of itself and could could have control and could exercise choice.
...
even after having written this book, this question of choice is the one that still just niggles at me and «
braininspired.co/podcast/175/




Teixiteixi
2023-09-20
Teixiteixi
2023-06-17

» @summerfieldlab book:

Natural General Intelligence:
How understanding the brain can help us build AI

makes the case that inspiration & communication between the & is hindered by the different languages each field speaks.

But in reality, there has always been and still is a lot of overlap and convergence about ideas of computation and intelligence, and illustrates this using tons of historical and modern examples «

youtube.com/watch?v=yxNqgQQ0PLE

2023-02-12

I really liked this new episode of Brain Inspired. I may be settling into familiarity with the interview style, or I might have just listened to a few episodes that gave me an incorrect impression there are frequent interruptions of guests.

The discussion of what the alpha frequency in EEG really represents was nice (it comes more than 30 minutes in). I'll have to check out Ole Jensen's work!

brain-inspired.castos.com/epis

@neuroscience

#Neuroscience #AI #BrainInspired #PodcastRecommendation

Teixiteixi
2023-01-13

@summerfieldlab

Awaiting for listening it!

Recent triplet pods specifically inspirational to me:

BI 150
Dan Nicholson
Machines, Organisms, Processes

BI 152
Michael L. Anderson
After Phrenology - Neural Reuse

BI 155
Luiz Pessoa
The Entangled Brain

ps: msg that listeners await them to join the fam!

2023-01-05

What's a 'memory trace'? How do we store memories? How do we recall memories?! How on earth does memory work at all!?!

Sarah Robins understands more than most, and talks about Philosophy of Memory on the Brain Inspired podcast.

#SarahRobins #Philosophy #PhilosophyOfMemory #BrainInspired #MemoryTraces

braininspired.co/podcast/157/

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst