Jenelle Feather
@jenellefeather
Flatiron Research Fellow @FlatironCCN. PhD from @mitbrainandcog. I study how humans and computers hear 👂 (and see 👀).
ID:759370332562190336
30-07-2016 12:49:30
71 Tweets
526 Followers
110 Following
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Our paper is published! Nature Human Behaviour tinyurl.com/p28jy3bx
Driving and suppressing brain activity in the human language network with model (GPT)-selected stimuli
W. Aalok Sathe आलोक साठे Shashank Srikant Maya Taliaferro Mingye (Christina) Wang Martin Schrimpf cvnlab Ev (like in 'evidence', not Eve) Fedorenko 🇺🇦
How well do #NeuralNetwork models account for #AuditoryCortex responses? Greta Tuckute Jenelle Feather Dr. Dana Boebinger & Josh McDermott show that most trained DNNs show improvement over a classic baseline model, with cortex-like organization #PLOSBiology plos.io/46Z5ArK
A brief break in #Neurips2023 content to announce that our work on investigating deep neural network models of auditory cortex is out today in PLOS Biology!!!
👂🧠👩🔬
Paper: journals.plos.org/plosbiology/ar…
Code: github.com/gretatuckute/a…
Just arrived in New Orleans for #NeurIPS2023 this week.
Topics I am excited about: neuro-AI, neural manifolds (representation geometry), stat physics for machine learning, interpretability, relational & causal representations
My group is presenting their awesome work👇 (1/n)
At #NeurIPS2023 ? Interested in brains, neural networks, and geometry? Come by our **Spotlight Poster** Tuesday @ 5:15PM (#1914) on A Spectral Theory of Neural Prediction and Alignment.
w/ Abdulkadir Canatar SueYeon Chung Albert Wakhloo
Testing artificial neural networks with stimuli whose activations are matched to those of a natural stimulus ('model metamers') demonstrates discrepancies between human and model sensory systems
Jenelle Feather @joshhmcdermott Aleksander Madry et al.
nature.com/articles/s4159…
New paper from our lab, by Jenelle Feather. Asks whether the invariances contained in contemporary artificial neural networks mirror those of humans. See Jenelle’s thread for some of the key ideas and results. Aleksander Madry Guillaume Leclerc MIT Department of Brain and Cognitive Sciences McGovern Institute cbmm MIT Science
Images that humans perceive as completely unrelated can be classified as the same by computational models, according to a new Nature Neuroscience study by Josh McDermott Jenelle Feather Guillaume Leclerc Aleksander Madry MIT Brain and Cognitive Sciences MIT Science
mcgovern.mit.edu/2023/10/16/stu…