Jacob Russin
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Explore the profile of Jacob Russin including associated specialties, affiliations and a list of published articles.
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9
Citations
23
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Recent Articles
1.
McGrath S, Russin J, Pavlick E, Feiman R
Curr Dir Psychol Sci
. 2025 Feb;
33(5):325-333.
PMID: 39949337
Over the last decade, deep neural networks (DNNs) have transformed the state of the art in artificial intelligence. In domains like language production and reasoning, long considered uniquely human abilities,...
2.
Russin J, McGrath S, Pavlick E, Frank M
Behav Brain Sci
. 2024 Sep;
47:e162.
PMID: 39311519
Recent studies suggest that meta-learning may provide an original solution to an enduring puzzle about whether neural networks can explain compositionality - in particular, by raising the prospect that compositionality...
3.
Webb T, Frankland S, Altabaa A, Segert S, Krishnamurthy K, Campbell D, et al.
Trends Cogn Sci
. 2024 May;
28(9):829-843.
PMID: 38729852
A central challenge for cognitive science is to explain how abstract concepts are acquired from limited experience. This has often been framed in terms of a dichotomy between connectionist and...
4.
Russin J, Pavlick E, Frank M
ArXiv
. 2024 Feb;
PMID: 38410645
Human learning embodies a striking duality: sometimes, we appear capable of following logical, compositional rules and benefit from structured curricula (e.g., in formal education), while other times, we rely on...
5.
McGrath S, Russin J, Pavlick E, Feiman R
Behav Brain Sci
. 2023 Sep;
46:e284.
PMID: 37766655
There are two ways to understand any proposed properties of language-of-thoughts (LoTs): As diagnostic or constitutive. We argue that this choice is critical. If candidate properties are diagnostic, their homeostatic...
6.
Russin J, Zolfaghar M, Park S, Boorman E, OReilly R
Cogsci
. 2023 May;
44:1064-1071.
PMID: 37223441
Neural networks struggle in continual learning settings from catastrophic forgetting: when trials are blocked, new learning can overwrite the learning from previous blocks. Humans learn effectively in these settings, in...
7.
Russin J, Fernandez R, Palangi H, Rosen E, Jojic N, Smolensky P, et al.
Cogsci
. 2021 Oct;
2021:1767-1773.
PMID: 34617074
A longstanding question in cognitive science concerns the learning mechanisms underlying compositionality in human cognition. Humans can infer the structured relationships (e.g., grammatical rules) implicit in their sensory observations (e.g.,...
8.
Russin J, Zolfaghar M, Park S, Boorman E, OReilly R
Cogsci
. 2021 Oct;
2021:1560-1566.
PMID: 34617073
The neural mechanisms supporting flexible relational inferences, especially in novel situations, are a major focus of current research. In the complementary learning systems framework, pattern separation in the hippocampus allows...
9.
OReilly R, Russin J, Herd S
Handb Clin Neurol
. 2019 Oct;
163:317-332.
PMID: 31590738
Computational models of frontal function have made important contributions to understanding how the frontal lobes support a wide range of important functions, in their interactions with other brain areas including,...
10.
Cooke S, Russin J, Moulton K, Nadel J, Loutaev I, Gu Q, et al.
J Neurochem
. 2019 Sep;
151(6):764-776.
PMID: 31539452
Fragile X syndrome (FXS) is caused by silencing of the FMR1 gene and consequent absence of its protein product, fragile X mental retardation protein (FMRP). FMRP is an RNA-binding protein...