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Guillermo Cecchi

Affiliations: 
International Business Machines Corporation, Armonk, NY, United States 
Area:
Computational Neuroscience
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"Guillermo Cecchi"
Mean distance: 15.49 (cluster 17)
 		SNBCP
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Parents

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Marcelo O. Magnasco grad student Rockefeller

Children

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Baihan Lin research scientist 2017- IBM

Collaborators

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Mariano Sigman collaborator IBM
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Publications

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Lin B, Bouneffouf D, Cecchi G. (2022) Predicting human decision making in psychological tasks with recurrent neural networks. Plos One. 17: e0267907
Pinheiro S, Mota NB, Sigman M, et al. (2020) The History of Writing Reflects the Effects of Education on Discourse Structure: Implications for Literacy, Orality, Psychosis and the Axial Age. Trends in Neuroscience and Education. 21: 100142
Alonso LM, Solovey G, Yanagawa T, et al. (2019) Author Correction: Single-trial classification of awareness state during anesthesia by measuring critical dynamics of global brain activity. Scientific Reports. 9: 18643
Alonso LM, Solovey G, Yanagawa T, et al. (2019) Single-trial classification of awareness state during anesthesia by measuring critical dynamics of global brain activity. Scientific Reports. 9: 4927
Mota NB, Sigman M, Cecchi G, et al. (2018) The maturation of speech structure in psychosis is resistant to formal education. Npj Schizophrenia. 4: 25
Fernandez Slezak D, Sigman M, Cecchi GA. (2018) An entropic barriers diffusion theory of decision-making in multiple alternative tasks. Plos Computational Biology. 14: e1005961
Keller A, Gerkin RC, Guan Y, et al. (2017) Predicting human olfactory perception from chemical features of odor molecules. Science (New York, N.Y.)
García AM, Carrillo F, Orozco-Arroyave JR, et al. (2016) How language flows when movements don't: An automated analysis of spontaneous discourse in Parkinson's disease. Brain and Language. 162: 19-28
Carrillo F, Mota N, Copelli M, et al. (2016) Automated speech analysis for psychosis evaluation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9444: 31-39
Bedi G, Carrillo F, Cecchi GA, et al. (2015) Automated analysis of free speech predicts psychosis onset in high-risk youths. Npj Schizophrenia. 1: 15030
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