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Deficient experience-dependent plasticity in the visual cortex of Arc null mice
(Massachusetts Institute of Technology, 2009)
Within the visual cortex a vast assortment of molecules work in concert to sharpen and refine neuronal circuits throughout development. With the advent of genetic mouse models it is now possible to probe the individual ...
Cognitive neuroscience of training and transfer in working memory and visual attention
(Massachusetts Institute of Technology, 2015)
The trained enhancement of working memory and visual attention has both theoretical implications for understanding the architectures of cognition, as well as practical implications for education and clinical treatment. In ...
The invariance hypothesis and the ventral stream
(Massachusetts Institute of Technology, 2014)
The invariance hypothesis is the claim that properties of the ventral stream can be deduced from 1. a consideration of the computational problem with which it is engaged: invariant object recognition, 2. constraints of the ...
Neural mechanisms underlying the emergence of rhythmic and stereotyped vocalizations in juvenile songbirds
(Massachusetts Institute of Technology, 2016)
Complex motor behaviors in humans, such as speech, are not innate, but instead are learned. How does the brain construct neural circuits that generate these motor behaviors during learning? To understand the neural mechanisms ...
Processing of relevant information in the primate prefrontal cortex
(Massachusetts Institute of Technology, 1999)
Extracellular recordings of neural activity were made in areas around and ventral to the principal sulcus of the lateral prefrontal (PF) cortex in two monkeys (macacca mulatta). Activity was assessed during the performance ...
Interrogation of CRISPR-Cas targeting specificity for mammalian genome engineering
(Massachusetts Institute of Technology, 2017)
Class II CRISPR-Cas RNA programmable DNA endonucleases enable high efficiency genome editing across the biological diversity for research, industrial, and biomedical applications. Human genome editing with CRISPR-Cas just ...
Algorithms for learning to induce programs
(Massachusetts Institute of Technology, 2020)
The future of machine learning should have a knowledge representation that supports, at a minimum, several features: Expressivity, interpretability, the potential for reuse by both humans and machines, while also enabling ...
Language learning at scale: Data‐driven and model‐motivated analyses of lexical and morphological development
(Massachusetts Institute of Technology, 2022-02)
Studying how children learn language gives complementary insights into both children and language. Given that languages have the properties that they do, what does children’s ability to learn them tell us about cognitive ...
Enriching models of natural language with auxiliary data
(Massachusetts Institute of Technology, 2020)
The highest-performing natural language processing models generally solve language tasks by deriving statistical regularities of sequences of arbitrary tokens supplied as training data. Humans have a much richer notion of ...
Lateral hypothalamic control of motivated behaviors through the midbrain dopamine system
(Massachusetts Institute of Technology, 2016)
The lateral hypothalamus and ventral tegmental area are two brain regions that have long been known to be involved in processing reward and the control of feeding behaviors. We continue work in this area by identifying the ...