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Maggie Henderson Profile
Maggie Henderson

@maggiehende

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Assistant Professor at Carnegie Mellon University | human visual cognition, computational modeling, natural image statistics

Pittsburgh, PA
Joined June 2012
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@maggiehende
Maggie Henderson
4 months
Out now in Nature Communications! We investigated the neural basis of dynamic categorization in human visual cortex. See thread for more:.
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nature.com
Nature Communications - This study shows that neural representations of shape stimuli in human visual cortex are adaptively modulated when participants switch between different variants of a...
@maggiehende
Maggie Henderson
2 years
Excited to share our new preprint on the neural mechanisms of flexible shape categorization!. With @serences & @nuttidarungrat . Link: See 🧵👇.
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@maggiehende
Maggie Henderson
1 month
RT @chrisdonahuey: Excited to announce 🎵Magenta RealTime, the first open weights music generation model capable of real-time audio generati….
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@maggiehende
Maggie Henderson
2 months
RT @JacobYeung: 1/6 🚀 Excited to share that BrainNRDS has been accepted as an oral at #CVPR2025!. We decode motion from fMRI activity and u….
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@maggiehende
Maggie Henderson
9 months
Apply through the Program in Neural Computation ( or the Psychology Department (. Deadlines for both are December 1st!.
cmu.edu
Pursue cutting-edge Psychology or Cognitive Neuroscience Ph.D. training at elite CMU. Individualized mentorship cultivates independent research skills across cognitive science, developmental,...
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@maggiehende
Maggie Henderson
9 months
We research exciting questions in visual cognitive neuroscience, using techniques ranging from neuroimaging and behavioral studies, to machine learning and neural network models. Learn more at:
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@maggiehende
Maggie Henderson
9 months
🚨Prospective grad school applicants! My lab at Carnegie Mellon University is recruiting PhD students to start in Fall 2025.
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@maggiehende
Maggie Henderson
2 years
These results give new insight into the neural mechanisms of flexible categorization, providing an important link between our understanding of sensory processing, selective attention, and perceptual categorization. See the full preprint for more:
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@maggiehende
Maggie Henderson
2 years
Finally, we found that the discriminability of shapes across the relevant category boundary was associated with task performance. This suggests that attentional modulations in early visual cortex may contribute to categorization behavior.
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@maggiehende
Maggie Henderson
2 years
Effects were most pronounced for shapes located nearest to the category boundary (i.e., the most perceptually difficult shapes to categorize).
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@maggiehende
Maggie Henderson
2 years
Our multivariate decoding results suggested that shape representations in visual cortex differed across tasks, becoming more discriminable across the currently relevant category boundary. These attentional modulations were strongest in early areas V1, V2, and V3.
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@maggiehende
Maggie Henderson
2 years
We tested this by training human participants to categorize novel shape stimuli according to multiple orthogonal boundaries, and recorded fMRI while they performed each categorization task on the same stimuli.
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@maggiehende
Maggie Henderson
2 years
We hypothesized that the brain might adaptively modify stimulus representations in visual cortex during categorization, by using feature-based attention to enhance representations of category-diagnostic dimensions.
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@maggiehende
Maggie Henderson
2 years
But what makes real-world categorization tasks especially hard is that the rules can change over time (think: categorizing fruits and vegetables differently when you’re making a salad vs. baking a pie). How does the brain flexibly represent objects during dynamic categorization?.
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@maggiehende
Maggie Henderson
2 years
Past work has shown that when we learn to categorize objects, this leads to changes in how they’re represented in visual cortex: representations can become differentiated in ways that make categorization easier.
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@maggiehende
Maggie Henderson
2 years
Excited to share our new preprint on the neural mechanisms of flexible shape categorization!. With @serences & @nuttidarungrat . Link: See 🧵👇.
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@maggiehende
Maggie Henderson
2 years
RT @kcs_adam: I'm recruiting a Ph.D. student for the upcoming school year (Fall 2024). If you are interested in studying the neural bases o….
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@maggiehende
Maggie Henderson
2 years
RT @tyrell_turing: Friends, we need your help. An Wu, a postdoc from UCSD is missing post-Cosyne. We're trying to locate her. We're worried….
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@maggiehende
Maggie Henderson
3 years
RT @chrisdonahuey: Excited to share SingSong, a system which can generate instrumental accompaniments to pair with input vocals!. 📄 https://….
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@maggiehende
Maggie Henderson
3 years
RT @kcs_adam: Happy announcement: Starting July 2023, I'll be joining Rice University as an Assistant Professor in the Dept. of Psychologic….
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@maggiehende
Maggie Henderson
3 years
These results also pave the way for future work that can explore how these mid-level representations contribute to higher-order cognitive processes like object & scene recognition.
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