Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Milton Llera Montero"'
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Akademický článek
Model-Based Inference of Synaptic Transmission
Autor: Ola Bykowska, Camille Gontier, Anne-Lene Sax, David W. Jia, Milton Llera Montero, Alex D. Bird, Conor Houghton, Jean-Pascal Pfister, Rui Ponte Costa
Publikováno v: Frontiers in Synaptic Neuroscience, Vol 11 (2019)
Synaptic computation is believed to underlie many forms of animal behavior. A correct identification of synaptic transmission properties is thus crucial for a better understanding of how the brain processes information, stores memories and learns. Re
Externí odkaz: https://doaj.org/article/0b3afddecd954de79760c2a932d5971d
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2
Disagreement and confusion over the status of DNNs as models of vision
Autor: Jeffrey S Bowers, Gaurav Malhotra, Marin Dujmović, Milton Llera Montero, Christian Tsvetkov, Guillermo Puebla, Federico G Adolfi, John Hummel, Rachel Flood Heaton, Benjamin D. Evans, Jeffrey Mitchell, Ryan Blything
We are pleased there is widespread agreement that psychology has an important role to play in building better models of vision. But there are important confusions and disagreements that we discuss in our response. Our key claim is not that we should
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8ff56f142ae693d60ccecd8da430487e
https://doi.org/10.31234/osf.io/2rfzp
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3
Introducing the MindSet benchmark for comparing DNNs to human vision
Autor: Valerio Biscione, Dong Yin, Gaurav Malhotra, Marin Dujmović, Milton Llera Montero, Guillermo Puebla, Federico G Adolfi, Christian Tsvetkov, Rachel Flood Heaton, John Hummel, Bradley Evans, Jeffrey S Bowers
We describe the MindSet benchmark designed to facilitate the testing of DNNs against controlled experiments reported in psychology. MindSet will focus on a range of low-, middle-, and high-level visual findings that provide important constraints for
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c9d4a64ee62adbbdf81ee9a7f65d329d
https://doi.org/10.31234/osf.io/cneyp
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5
Subtractive gating improves generalization in working memory tasks
Autor: Jeffrey S. Bowers, Rui Ponte Costa, Gaurav Malhotra, Milton Llera Montero
Publikováno v: 2019 Conference on Cognitive Computational Neuroscience
Llera Montero, M, Malhotra, G, Bowers, J S & Costa, R P 2019, ' Subtractive gating improves generalization in working memory tasks ', 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany, 13/09/19-16/09/19 . https://doi.org/10.32470/CCN.2019.1352-0
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It is largely unclear how the brain learns to generalize to new situations. Although deep learning models offer great promise as potential models of the brain, they break down when tested on novel conditions not present in their training datasets. On
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66649fca61682ae4a749396b36b74ca6
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6
Computational roles of plastic probabilistic synapses
Autor: Milton Llera-Montero, João Sacramento, Rui Ponte Costa
Publikováno v: Llera Montero, M, Sacramento, J & Costa, R P 2019, ' Computational roles of plastic probabilistic synapses ', Current Opinion in Neurobiology, vol. 54, pp. 90-97 . https://doi.org/10.1016/j.conb.2018.09.002
Current Opinion in Neurobiology
The probabilistic nature of synaptic transmission has remained enigmatic. However, recent developments have started to shed light on why the brain may rely on probabilistic synapses. Here, we start out by reviewing experimental evidence on the specif
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::465808ce2b866c971cbb19a0be8729e9
https://pubmed.ncbi.nlm.nih.gov/30308457
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