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On simplicity and complexity in the brave new world of large-scale neuroscience

Gao, Peiran ; Ganguli, Surya

Current opinion in neurobiology, 2015-06, Vol.32, p.148-155 [Periódico revisado por pares]

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Título:
On simplicity and complexity in the brave new world of large-scale neuroscience
Autor: Gao, Peiran ; Ganguli, Surya
Assuntos: Animals ; Datasets as Topic ; Models, Theoretical ; Nerve Net - physiology ; Neural Networks (Computer) ; Neurology ; Neurosciences - methods ; Psychiatry
É parte de: Current opinion in neurobiology, 2015-06, Vol.32, p.148-155
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-2
Descrição: Highlights • High dimensional statistics and neural circuit theory must guide modern neuroscience. • Recording more neurons while repeating simple behaviors may not yield richer datasets. • Phase transitions in high dimensional statistics can guide experimental design. • Confronting artificial neural networks can help us design neuroscience experiments. • Our goal should be to understand the space of all models consistent with data.
Editor: England: Elsevier Ltd
Idioma: Inglês

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