We take so many of these statements at face value because they seem to make sense in our #patriarchal system, and then before we know it we’ve got terrible, repressive, socially-accepted "knowledge."
Hi :)
I'm a new member of this amazing community and I would like to have my first post on the amazing breakthrough of Jeff Hawkins.
Before giving my opinion, I would like everyone to tell me whether they know the theory of have they read the book or the original papers and If so what's their insight on them?
I think the material in this research is pretty much fascinating and would like to engage and talk about it more.
"These #Crows have counting skills previously only seen in people
"The #Corvids are the first animals other than humans known to produce a deliberate number of calls on command....
"...The researchers also... could` predict the upcoming number of crow calls based on the sound of the first call, suggesting that the birds planned the number of calls in advance..."
People in Baltimore have been dying of overdoses at a rate never before seen in a major American city.
The city was once hailed for its response to #addiction. But as #fentanyl flooded streets & ofcls shifted priorities, deaths hit unprecedented heights.
In 2020, Swedish neuroscientists put 30 trans and 30 cis research subjects into a brain scanner and showed them pictures of their bodies. Then they showed them images where their body had been morphed to look more masculine or more feminine. The results support the natural order of gender identity.
How cool is this?
Tethering transgenic fruit flies to a torque meter inside of a 360° display to let them learn how to control a punishing heat beam with their turning attempts.
It looks like we have finally discovered in which neurons the plasticity takes place that is required for this kind of learning:
We may not be 100% sure, yet, but everything is pointing towards plasticity in the motor neurons of the ventral nerve cord that control the wing angles.
Neuroscientists and electrophysiologists of Mastodon, what would your top choice analysis tool be for a novice getting started with working with ECoG data? I have a graduate student I will be co-mentoring starting this Fall who is very bright but has no programming experience, and I'd like to help her get up and running as quickly as possible. I've generally been a roll-my-own-analyses type of electrophysiologist so I don't have a favorite framework to get her started with. I know EEGLAB is popular, but my main experience with it has been helping other people get their Matlab path working properly again after something in EEGLAB clobbers it. I've played with MNE in Python but it doesn't seem to be as purely-GUI as EEGLAB and I don't want her to get bogged down in learning Python before she can do any analyses at all.
So, what's your favorite tool for ECoG analysis? What would you recommend a student who's starting from zero background in electrophysiology or programming begin to learn in 2024?
Boosts for reach appreciated. I also just like hearing folks' opinionated takes on their research tools.
Pleased to share my latest research "Zero-shot counting with a dual-stream neural network model" about a glimpsing neural network model the learns visual structure (here, number) in a way that generalises to new visual contents. The model replicates several neural and behavioural hallmarks of numerical cognition.
Clever neuronal activity labelling strategy: Engineered Ca2+ sensor biotinylates nearby proteins. Those proteins can then be stained - works for single vesicles, organelles, dendritic compartments, all the way to neuronal engrams. Both in culture and in vivo!
I'm excited to share a new publication from my graduate work!
In this opinion piece, we describe a new idea about how the brain represents more than one object - by having neurons switch their activity over time. This new idea has implications across a wide range of other areas of neuroscience, including how parts of objects come together to form a whole, and how we select what to pay attention to in busy environments.