The biggest problem holding neuroscience back right now isnโt data or tools, thanks in large part to the BRAIN Initiative.
Itโs fragmentation across species. I wrote this to hopefully spark discussion around an issue that can only be solved as a community๐
www.thetransmitter.org/animal-model...
Surely interesting, indeed in our study we are not saying cytoarchitectonic isn't at all predictive of any differentiation (I guess it also depends on the regions ), but more specifically that an integration with connectional data could provide more info on the localization of functional properties
Posted it on the reply above, as I said it's very interesting that we also saw that connectional borders enabled to find a functional organization which would not have been evident by only using cytoarchitectonic ones, especially in the intermediate part of the region we studied
journals.plos.org/plosbiology/... here is the study, the borders you can see in this study were performed by matching cytoarchitectonic to connectional data, and we found very interesting evidence pointing towards a functional differentiation between the areas we identified
This is the most interesting point in my opinion, given that in a recent study from the lab I'm working in ,we reached a very similar conclusion considering monkey PFC
New Perspective from myself, Sarah Heilbronner and @myoo.bsky.social . โRethinking the centrality of brain areas in understanding functional organizationโ in Nature Neuroscience. ๐งต
rdcu.be/eVZ1A
I think it's very interesting that we are focusing our attention on the direct involvement of prefrontal areas in guiding actions within our everyday behavioral context
๐ ๐ก๐๐จ๐ฅ๐ข๐๐๐ข๐๐ข๐๐๐๐๐ ๐ฃ๐๐ฅ๐ฆ๐ฃ๐๐๐ง๐๐ฉ๐ ๐ข๐ก ๐ง๐๐ ๐ฃ๐ฅ๐๐๐ฅ๐ข๐ก๐ง๐๐ ๐๐ข๐ฅ๐ง๐๐ซ
By Mars and Passingham
"Understanding anthropoid foraging challenges may thus contribute to our understanding of human cognition"
Going to the top of the reading list!
doi.org/10.1016/j.ne...
#neuroskyence
๐ช๐ฎ๐ป๐ ๐๐ผ ๐น๐ฒ๐ฎ๐ฟ๐ป ๐ฎ๐ฏ๐ผ๐๐ ๐ต๐๐บ๐ฎ๐ป ๐ฎ๐ณ๐ณ๐ฒ๐ฐ๐๐ถ๐๐ฒ ๐ป๐ฒ๐๐ฟ๐ผ๐๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ?
This is massive, a lot of great material.
Huge amount of work to put this together, many thanks to Jorge and Patrik for getting the second edition out.
Exciting news! ๐ Our Computational Neuroscience course has been awarded NIH BRAIN Initiative funding! Students will get hands-on experience w real BRAIN Initiative datasets, helping them build computational skills that are essential for the future of neuroscience.
www.linkedin.com/feed/update/...
somehow I missed this!
Dopamine represents a domain-general teaching signal:
www.science.org/doi/full/10....
๐๐ผ๐ด๐ป๐ถ๐๐ถ๐ผ๐ป ๐ถ๐ ๐ฒ๐บ๐ฒ๐ฟ๐ด๐ฒ๐ป๐ ๐ถ๐ป ๐๐ต๐ฒ ๐ฏ๐ฟ๐ฎ๐ถ๐ป
by Earl K Miller, Scott L Brincat, Jefferson E Roy
This promises to be a must read
One day we should create an online journal club to just read these kinds of papers!
#neuroskyence
doi.org/10.1016/j.co...
Overview of the distribution of functional properties in VLPF. P, Principal sulcus; IA, inferior arcuate sulcus; SA, superior arcuate sulcus.
Lateral #PrefrontalCortex is involved in executive functions, but what roles do distinct anatomical subregions play? @clbas.bsky.social &co show that caudal VLPF specializes in visual input processing, while middle areas support context-based behavioral planning @plosbiology.org ๐งช plos.io/4ljEz9W
Each area differently contributes to the encoding of visual features and to the exploitation of contextual information for guiding behavior. A summary view of the findings in the figure below (5/5)
The actual execution or withholding of grasping actions predominantly activates neurons in the intermediate VLPF areas, particularly in middle 46v. This indicates that these areas, may primarily contribute to action selection and guidance (4/5)
The passive presentation of visual stimuli primarily activates neurons in the caudal VLPF areas, especially in caudal 12r. This suggests that these areas, consistently with their strong connections with the inferotemporal cortex, represent the first VLPF stage of visual processing (3/5).
The coding of different task phases and the behavioral rule is observed across all recorded areas, indicating a distributed representation of these processes within VLPF, which is in line with the strong interconnection among prefrontal areas (2/5)
Finally, the full version of our paper on the distribution of functions within monkey VLPF is out! For anyone interested, I'll briefly explain the main results in this thread (1/5) @plosbiology.org #prefrontal #neuroscience #ephys #dataanalysis
๐ We are excited to share that bombcell is now available in Python! ๐ Automatically sort your units into good/MUA/noise/non-somatic using quality metrics and interpretable & adjustable classification thresholds.
pip install and play around with our toy dataset:
๐ github.com/Julie-Fabre/...
In my hotpink and royalblue era โจ
A Neuropixels Opto probe with 3 blue emitters and 3 red emitters lighting up in succession, with corresponding neural activity in different layers of the cortex.
Neuropixels and Optogenetics are delighted to announce the birth of
Neuropixels Opto
Combining high-resolution electrophysiology and optogenetics
Today in bioRxiv
960 sites, 28 emitters, 2 colors
By Lakunina, @karolinazsocha.bsky.social, Ladd, et al
www.biorxiv.org/content/10.1...
(1/2)
Finally, decoding analyses on the neural activity show that each VLPF area has a shared neural code across specific epochs of the visuomotor task, suggesting that each area plays a distinct role in encoding the contextual information relevant for behavior (5/5).
Demixed principal component analysis (dPCA) of neural activity reveals that each subdivision of VLPF is characterized by distinct functional features related to the encoding ofboth the task rule (behavioral condition) and the type of stimulus (4/5).
The execution or withholding of grasping actions predominantly activates neurons in the intermediate VLPF areas, which could contribute to the selection and guidance of contextually appropriate actions, in line with their strong connections to the parietal and premotor cortices (3/5).
The passive presentation of visual stimuli primarily activates neurons in the caudal VLPF areas. This suggests that these regions represent the first VLPF processing stage of visual input, consistent with their strong connections to the inferotemporal cortex (2/5)
The passive presentation of visual stimuli primarily activates neurons in the caudal VLPF areas. This suggests that these regions represent the first VLPF processing stage of visual input, consistent with their strong connections to the inferotemporal cortex (2/5)
Finally, decoding analyses on the neural activity show that each VLPF area has a shared neural code across specific epochs of the visuomotor task, suggesting that each area plays a distinct role in encoding the contextual information relevant for behavior (5/5).
Demixed principal component analysis (dPCA) of neural activity reveals that each subdivision of VLPF is characterized by distinct functional features related to the encoding ofboth the task rule (behavioral condition) and the type of stimulus (4/5).
The execution or withholding of grasping actions predominantly activates neurons in the intermediate VLPF areas, which could contribute to the selection and guidance of contextually appropriate actions, in line with their strong connections to the parietal and premotor cortices (3/5).
The passive presentation of visual stimuli primarily activates neurons in the caudal VLPF areas. This suggests that these regions represent the first VLPF processing stage of visual input, consistent with their strong connections to the inferotemporal cortex (2/5)