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Harrison Ritz
PhD with , Frank, & Nassar Labs | science, music, movies, & batch cooking | he/him 🇨🇦 views my own.
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Donner Lab 19 h
New from the lab () that shows choice-predictive feedforward/back signals in V1! Led by . Relevant for anyone interested in , , , . Thread. (1/10)
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Dean Mobbs 22 h
Absolute pleasure to write this paper with Drew, Weilun and Peter.
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Wei Ji Ma 4. velj
I had a frank conversation with about online addictions, living up to expectations, and making friends. To learn more about me than you would ever want to know, listen to the podcast on
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Brandon Rohrer 4. velj
A research story with a twist I looked for a neural network regularization method that limited the number of non-zero node activities (L0 group sparsity?) I couldn’t find one. 1/11
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JJ 4. velj
Anticipatory control of movement in a thalamo-cortical circuit model
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Harrison Ritz 4. velj
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Sebastian Gluth 3. velj
Decisions between >2 options are tricky. In our newest work, we could not replicate a previous “divisive normalization” or “distractor effect” in decisions btw 3 food snacks. But we found remarkable dynamic interactions between valuation & attention: (1/6)
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Harrison Ritz 3. velj
Odgovor korisniku/ci @bayesianbrain @GunnarBlohm i 3 ostali
interesting idea! I think about linear control (dxdt = Ax + Bu) as a causal model (with Ax being the counterfactual), but IDK much about causal reasoning, & it'd be great to know the formalisms around that cc
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Doby Rahnev 3. velj
The Confidence Database is now out in ! It has 145 datasets with data from over 8,700 participants and almost 4 million trials. THREAD
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Michael Inzlicht 3. velj
New preprint! Integrating models of self-regulation With , Julia Briskin, & /1
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KordingLab 👨‍💻🧠∇🔬📈,🏋️‍♂️⛷️🏂🛹🕺⛰️☕🦖 3. velj
Does the cerebellum contain internal models for self motion?
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Dani Bassett 3. velj
Happy to see 's paper "A practical guide to methodological considerations in the controllability of structural brain networks" just out in Journal of Neural Engineering:
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Xulu Sun 1. velj
Very happy to share our new preprint! Animals have a remarkable capacity to learn new motor skills, but how does learning change neural population dynamics underlying movement?
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Josh Cashaback 2. velj
Neural Correlates of Reinforcement Learning in Mid-lateral Cerebellum
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Sam Nastase 2. velj
New commentary on the widespread cortical representation of observed actions (as revealed by dynamic, naturalistic stimuli)—even in putative "form" areas like ventral temporal cortex:
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Daniel Gonzales 1. velj
Me and my PI reading the reviews on my first first-author paper
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Hung-Tu Chen 31. sij
Where hippocampal place cells have their fields is famously hard to predict: if you know how a given subject encodes location or environment A, that doesn't tell you much about how it encodes B. 1/
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Harrison Ritz 31. sij
Odgovor korisniku/ci @neuromurphy @donner_lab i 3 ostali
Looks awesome! Can’t wait to read
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Donner Lab 31. sij
Interested in decision-making, evidence accumulation, normative or circuit models, oscillations, cortical hierarchy, feedback, or brainstem arousal systems? Check out our new paper on ()! Led by , summary below. (1/11)
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Reza Shadmehr 31. sij
How hard would you work to prevent loss of $5? As hard as you’d be willing to work to gain $5? Most tend to work harder to prevent loss. This excellent work by explores this question and links loss aversion to dopamine.
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