Population-level temporal decoding and dynamical structure in frontostriatal circuits during decision making
www.biorxiv.org/content/10.1...
Made an AI-curated primate ephys literature database covering ~10000 papers with recording brain regions and target functions. Maybe useful for something.
okazawagouki.github.io/NHPLit/repor...
Excited to share our new review in Trends in Neuroscience with Gouki Okazawa @gouki-okazawa.bsky.social :
"The 'neat' and 'messy' in task-dependent neural geometry and computation"
where we reviewed what we know about the 'task-manager' in the brain.
A thread 👇
The basal ganglia output is often framed as a motor gate: corticostriatal circuits select an action, then GPi/SNr-thalamus helps release it. In humans, we find this same pathway carries cognitive variables embedded in movement signals—and even produces learning-relevant signals after feedback. 1/10
Perceptual decisions unfold over time, requiring neural circuits to evaluate sensory evidence, track elapsed time, and commit to an action. To investigate how these computations are distributed across...
Task-similarity dependent reconfiguration of compositional modules and geometry in frontal cortex
www.biorxiv.org/content/10.1...
New review with Cheng Xue at U Chicago @cxue.bsky.social in Trends [email protected]! We discuss the neural geometry of task-dependent computation: disentangled encoding, RNN modeling, switch cost, etc.
www.cell.com/trends/neuro...
A mesoscale optogenetics system for precise and robust stimulation of the primate cortex
www.cell.com/neuron/abstr...
Final paper of my PhD 🤗
www.nature.com/articles/s44...
There is growing interest in how cognitive control may improve value-based decision making.
However, we find that a recent paper overestimated the role of control in their task, leading to erroneous interpretations of dACC recordings.
From the top of my head, here some recent ones:
"Two views on the cognitive brain" by @johnwkrakauer.bsky.social, @dlbarack.bsky.social
"Reconstructing computational system dynamics from neural data with recurrent neural networks" by @durstewitzlab.bsky.social et al
1/3
The ‘neat’ and ‘messy’ in task-dependent neural geometry and computation
by Cheng Xue @cxue.bsky.social & Gouki Okazawa @gouki-okazawa.bsky.social
www.cell.com/trends/neuro...
Gouki Okazawa
biorxiv.org
Task rules critically shape how neural populations encode information and generalize across cognitive demands, yet the mechanisms linking rule structure, neural dynamics, and behavior remain poorly un...
To solve diverse real-world tasks, the brain must flexibly switch between task rules
and adjust computations. Recent advances in analyzing neural data and modeling neural
networks have revealed their ...
Li et al. present a microLED-based mesoscale optogenetic system for centimeter-scale,
million-pixel primate cortical stimulation. Optogenetically evoked saccades with accurate
retinotopic organization...
www.cell.com
Gouki Okazawa
In a new computational analysis of previous work, this study shows that a control-free mechanism better accounts for value-based decisions than an account that assumes top-down control invigorating th...
I’m building a foundational reading list for our lab (systems & circuit neuroscience, compneuro, modeling, neuromodulators, population coding etc.).
I’d like to crowdsource recommendations.
Which review(s) would you consider mandatory reading for the next generation of researchers?
