Eivinas Butkus
@eivinas.bsky.social
Cognitive computational neuroscience. Psychology PhD student at Columbia University
eivinasbutkus.github.io
eivinasbutkus.github.io
Pinned
1/ Can causal models and causal inference engines emerge through next-token prediction? Judea Pearl and others (Zečević et al. 2023) have argued no. We present behavioral and mechanistic evidence that this is possible. #neurips2025 #NeurIPS
Reposted by Eivinas Butkus
starting fall 2026 i'll be an assistant professor at @upenn.edu 🥳
my lab will develop scalable models/theories of human behavior, focused on memory and perception
currently recruiting PhD students in psychology, neuroscience, & computer science!
reach out if you're interested 😊
my lab will develop scalable models/theories of human behavior, focused on memory and perception
currently recruiting PhD students in psychology, neuroscience, & computer science!
reach out if you're interested 😊
November 25, 2025 at 9:36 PM
starting fall 2026 i'll be an assistant professor at @upenn.edu 🥳
my lab will develop scalable models/theories of human behavior, focused on memory and perception
currently recruiting PhD students in psychology, neuroscience, & computer science!
reach out if you're interested 😊
my lab will develop scalable models/theories of human behavior, focused on memory and perception
currently recruiting PhD students in psychology, neuroscience, & computer science!
reach out if you're interested 😊
1/ Can causal models and causal inference engines emerge through next-token prediction? Judea Pearl and others (Zečević et al. 2023) have argued no. We present behavioral and mechanistic evidence that this is possible. #neurips2025 #NeurIPS
November 18, 2025 at 2:11 AM
1/ Can causal models and causal inference engines emerge through next-token prediction? Judea Pearl and others (Zečević et al. 2023) have argued no. We present behavioral and mechanistic evidence that this is possible. #neurips2025 #NeurIPS
Reposted by Eivinas Butkus
Why do we not remember being a baby? One idea is that the hippocampus, which is essential for episodic memory in adults, is too immature to form individual memories in infancy. We tested this using awake infant fMRI, new in @science.org #ScienceResearch www.science.org/doi/10.1126/...
Hippocampal encoding of memories in human infants
Humans lack memories for specific events from the first few years of life. We investigated the mechanistic basis of this infantile amnesia by scanning the brains of awake infants with functional magne...
www.science.org
March 20, 2025 at 6:37 PM
Why do we not remember being a baby? One idea is that the hippocampus, which is essential for episodic memory in adults, is too immature to form individual memories in infancy. We tested this using awake infant fMRI, new in @science.org #ScienceResearch www.science.org/doi/10.1126/...
Reposted by Eivinas Butkus
Key-value memory is an important concept in modern machine learning (e.g., transformers). Ila Fiete, Kazuki Irie, and I have written a paper showing how key-value memory provides a way of thinking about memory organization in the brain:
arxiv.org/abs/2501.02950
arxiv.org/abs/2501.02950
Key-value memory in the brain
Classical models of memory in psychology and neuroscience rely on similarity-based retrieval of stored patterns, where similarity is a function of retrieval cues and the stored patterns. While parsimo...
arxiv.org
January 7, 2025 at 9:21 AM
Key-value memory is an important concept in modern machine learning (e.g., transformers). Ila Fiete, Kazuki Irie, and I have written a paper showing how key-value memory provides a way of thinking about memory organization in the brain:
arxiv.org/abs/2501.02950
arxiv.org/abs/2501.02950
Reposted by Eivinas Butkus
Deep neural networks are complex, but looking inside them ought to be simple. Check out TorchLens, a package that can visualize any PyTorch network and extract all activations and metadata in just one line of code:
github.com/johnmarktayl...
www.nature.com/articles/s41...
github.com/johnmarktayl...
www.nature.com/articles/s41...
December 27, 2024 at 3:14 AM
Deep neural networks are complex, but looking inside them ought to be simple. Check out TorchLens, a package that can visualize any PyTorch network and extract all activations and metadata in just one line of code:
github.com/johnmarktayl...
www.nature.com/articles/s41...
github.com/johnmarktayl...
www.nature.com/articles/s41...
Reposted by Eivinas Butkus
Are you a grad student in AI interested in neuroscience and neuroAI?
Become a summer neuroAI intern at CSHL!
www.schooljobs.com/careers/cshl...
Become a summer neuroAI intern at CSHL!
www.schooljobs.com/careers/cshl...
December 3, 2024 at 2:14 PM
Are you a grad student in AI interested in neuroscience and neuroAI?
Become a summer neuroAI intern at CSHL!
www.schooljobs.com/careers/cshl...
Become a summer neuroAI intern at CSHL!
www.schooljobs.com/careers/cshl...
Reposted by Eivinas Butkus
I promised to write about my thoughts on the status of the field of neuroAI, some of the big challenges we are facing, and the approaches we are taking to address them. This is super selective on the topic of finding a good model but in my view it affects the field as a whole. Here we go. 🧵
December 11, 2024 at 10:18 PM
I promised to write about my thoughts on the status of the field of neuroAI, some of the big challenges we are facing, and the approaches we are taking to address them. This is super selective on the topic of finding a good model but in my view it affects the field as a whole. Here we go. 🧵