User profiles for S. A. Nastase

Samuel A. Nastase

Research 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

U Hasson, SA Nastase, A Goldstein - Neuron, 2020 - cell.com
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 …

[HTML][HTML] Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies

JV Haxby, JS Guntupalli, SA Nastase, M Feilong - elife, 2020 - elifesciences.org
Information that is shared across brains is encoded in idiosyncratic fine-scale functional
topographies. Hyperalignment captures shared information by projecting pattern vectors for …

Narratives for neuroscience

RM Willems, SA Nastase, B Milivojevic - Trends in neurosciences, 2020 - cell.com
People organize and convey their thoughts according to narratives. However, neuroscientists
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

…, M Schain, A Price, B Aubrey, SA Nastase… - Nature …, 2022 - nature.com
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-…

Measuring shared responses across subjects using intersubject correlation

SA Nastase, V Gazzola, U Hasson… - Social cognitive and …, 2019 - academic.oup.com
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 …

[HTML][HTML] Keep it real: rethinking the primacy of experimental control in cognitive neuroscience

SA Nastase, A Goldstein, U Hasson - NeuroImage, 2020 - Elsevier
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 …

[HTML][HTML] The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension

SA Nastase, YF Liu, H Hillman, A Zadbood… - Scientific data, 2021 - nature.com
The “Narratives” collection aggregates a variety of functional MRI datasets collected while
human subjects listened to naturalistic spoken stories. The current release includes 345 …

Attention selectively reshapes the geometry of distributed semantic representation

SA Nastase, AC Connolly, NN Oosterhof… - Cerebral …, 2017 - academic.oup.com
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 …

Reconstructing the cascade of language processing in the brain using the internal computations of a transformer-based language model

…, KA Norman, TL Griffiths, RD Hawkins, SA Nastase - BioRxiv, 2022 - biorxiv.org
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 …

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. …