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#prefrontalcortex

1 post1 participant0 posts today
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El Duvelle Neuro

#PostdocJob #France

"For a collaborative project with Brice Bathellier (Institut Pasteur), we are looking for a postdoc studying #PrefrontalCortex network activity combined with computational approaches during memory consolidation in a mouse model of #Alzheimers Disease. Please see this link"

Bordeaux Neurocampus · Post-doctoral Position in Cortical Plasticity Team - Bordeaux NeurocampusContact: Andreas Frick (Magendie)
#Bordeaux#Neuroscience
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Redish Lab

Updated #bioRxiv preprint:

Comparing representations of planning and habit in #hippocampus, #PrefrontalCortex, and dorsolateral #striatum as rats navigate complex and simple environments.

biorxiv.org/content/10.1101/20

bioRxiv · Environmental complexity modulates information processing and the balance between decision-making systemsBehavior in naturalistic scenarios occurs in diverse environments. Adaptive strategies rely on multiple neural circuits and competing decision-systems. However, past studies of rodent decision-making have largely measured behavior in simple environments. To fill this gap, we recorded neural ensembles from hippocampus (HC), dorsolateral striatum (DLS), and medial prefrontal cortex (mPFC) while rats foraged for food under changing rules in environments with varying topological complexity. Environmental complexity increased behavioral variability, lengthened HC nonlocal sequences, and modulated action caching. We found contrasting representations between DLS and HC, supporting a competition between decision systems. mPFC activity was indicative of setting this balance, in particular predicting the extent of HC non-local coding. Inactivating mPFC impaired short-term behavioral adaptation and produced long-term deficits in balancing decision systems. Our findings reveal the dynamic nature of decision-making systems and how environmental complexity modulates their engagement with implications for behavior in naturalistic environments. ### Competing Interest Statement The authors have declared no competing interest.
#neuroscience
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Theresa Desrochers

Happy to see this out today. Tootprint (is that a thing) coming soon! #neuroscience #prefrontalcortex #fMRI jneurosci.org/content/43/15/27

Journal of NeuroscienceMonkey Dorsolateral Prefrontal Cortex Represents Abstract Visual Sequences during a No-Report TaskMonitoring sequential information is an essential component of our daily lives. Many of these sequences are abstract, in that they do not depend on the individual stimuli, but do depend on an ordered set of rules (e.g., chop then stir when cooking). Despite the ubiquity and utility of abstract sequential monitoring, little is known about its neural mechanisms. Human rostrolateral prefrontal cortex (RLPFC) exhibits specific increases in neural activity (i.e., “ramping”) during abstract sequences. Monkey dorsolateral prefrontal cortex (DLPFC) has been shown to represent sequential information in motor (not abstract) sequence tasks, and contains a subregion, area 46, with homologous functional connectivity to human RLPFC. To test the prediction that area 46 may represent abstract sequence information, and do so with parallel dynamics to those found in humans, we conducted functional magnetic resonance imaging (fMRI) in three male monkeys. When monkeys performed no-report abstract sequence viewing, we found that left and right area 46 responded to abstract sequential changes. Interestingly, responses to rule and number changes overlapped in right area 46 and left area 46 exhibited responses to abstract sequence rules with changes in ramping activation, similar to that observed in humans. Together, these results indicate that monkey DLPFC monitors abstract visual sequential information, potentially with a preference for different dynamics in the two hemispheres. More generally, these results show that abstract sequences are represented in functionally homologous regions across monkeys and humans. SIGNIFICANCE STATEMENT Daily, we complete sequences that are “abstract” because they depend on an ordered set of rules (e.g., chop then stir when cooking) rather than the identity of individual items. Little is known about how the brain tracks, or monitors, this abstract sequential information. Based on previous human work showing abstract sequence related dynamics in an analogous area, we tested whether monkey dorsolateral prefrontal cortex (DLPFC), specifically area 46, represents abstract sequential information using awake monkey functional magnetic resonance imaging (fMRI). We found that area 46 responded to abstract sequence changes, with a preference for more general responses on the right and dynamics similar to humans on the left. These results suggest that abstract sequences are represented in functionally homologous regions across monkeys and humans.
Continued thread
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Nick Byrd, Ph.D.

Ida Momennejad ( Research) presents "A rubric for human-like agents and NeuroAI"

The main take-away reinforces a recurring message at the of at

What needs to be more like humans is
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In this case, the claim is that it need a (doi.org/10.1098/rstb.2021.0446).

See also Russell, O'Reilly, and Bengio, 2020: baicsworkshop.github.io/pdf/BA

Ida Momennejad (of Microsoft Research) and the final slide.
Elaboration of the claim that large language models need a prefrontal cortex.
Just like errors in psychology and neuroscience are insightful, AI errors may also be (echoing the other theme of this conference: comparing AI and humans may usher in a new form of comparative psychology).
A glimpse at the ideas and visualization from the paper (linked to in the main post).
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