User profiles for S. A. Nastase
Samuel A. NastaseResearch scholar, lecturer, Princeton University Verified email at princeton.edu Cited by 2210 |
[PDF][PDF] Direct fit to nature: an evolutionary perspective on biological and artificial neural networks
Evolution is a blind fitting process by which organisms become adapted to their environment.
Does the brain use similar brute-force fitting processes to learn how to perceive and act …
Does the brain use similar brute-force fitting processes to learn how to perceive and act …
[HTML][HTML] Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies
Information that is shared across brains is encoded in idiosyncratic fine-scale functional
topographies. Hyperalignment captures shared information by projecting pattern vectors for …
topographies. Hyperalignment captures shared information by projecting pattern vectors for …
Narratives for neuroscience
People organize and convey their thoughts according to narratives. However, neuroscientists
are often reluctant to incorporate narrative stimuli into their experiments. We argue that …
are often reluctant to incorporate narrative stimuli into their experiments. We argue that …
[HTML][HTML] Shared computational principles for language processing in humans and deep language models
Departing from traditional linguistic models, advances in deep learning have resulted in a
new type of predictive (autoregressive) deep language models (DLMs). Using a self-…
new type of predictive (autoregressive) deep language models (DLMs). Using a self-…
Measuring shared responses across subjects using intersubject correlation
Our capacity to jointly represent information about the world underpins our social experience.
By leveraging one individual’s brain activity to model another’s, we can measure shared …
By leveraging one individual’s brain activity to model another’s, we can measure shared …
[HTML][HTML] Keep it real: rethinking the primacy of experimental control in cognitive neuroscience
Naturalistic experimental paradigms in neuroimaging arose from a pressure to test the validity
of models we derive from highly-controlled experiments in real-world contexts. In many …
of models we derive from highly-controlled experiments in real-world contexts. In many …
[HTML][HTML] The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension
The “Narratives” collection aggregates a variety of functional MRI datasets collected while
human subjects listened to naturalistic spoken stories. The current release includes 345 …
human subjects listened to naturalistic spoken stories. The current release includes 345 …
Attention selectively reshapes the geometry of distributed semantic representation
Humans prioritize different semantic qualities of a complex stimulus depending on their
behavioral goals. These semantic features are encoded in distributed neural populations, yet it is …
behavioral goals. These semantic features are encoded in distributed neural populations, yet it is …
Reconstructing the cascade of language processing in the brain using the internal computations of a transformer-based language model
Piecing together the meaning of a narrative requires understanding not only the individual
words but also the intricate relationships between them. How does the brain construct this …
words but also the intricate relationships between them. How does the brain construct this …
Information flow across the cortical timescale hierarchy during narrative construction
CHC Chang, SA Nastase… - Proceedings of the …, 2022 - National Acad Sciences
When listening to spoken narratives, we must integrate information over multiple, concurrent
timescales, building up from words to sentences to paragraphs to a coherent narrative. …
timescales, building up from words to sentences to paragraphs to a coherent narrative. …