Dan Arking
Associate Professor
Johns Hopkins University
From this contributor
Analyses of gene activity may yield clues to roots of autism
Network analyses of gene expression patterns may point to key molecular pathways that autism alters and suggest new ways of treating the condition.
Analyses of gene activity may yield clues to roots of autism
Postmortem brains crucial for autism research
Postmortem brains from individuals with autism allow researchers to look at patterns of gene expression in different cell types, and to understand the interplay among neurons and neural circuits, says Dan Arking.
Postmortem brains crucial for autism research
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Long-read sequencing unearths overlooked autism-linked variants
Strips that are thousands of base pairs in length offer better resolution of structural variants and tandem repeats, according to two independent preprints.
Long-read sequencing unearths overlooked autism-linked variants
Strips that are thousands of base pairs in length offer better resolution of structural variants and tandem repeats, according to two independent preprints.
Competition seeks new algorithms to classify social behavior in animals
The winner of the competition, which launched today and tests contestants’ models head to head, is set to take home $20,000, according to co-organizer Ann Kennedy.
Competition seeks new algorithms to classify social behavior in animals
The winner of the competition, which launched today and tests contestants’ models head to head, is set to take home $20,000, according to co-organizer Ann Kennedy.
This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks
Friedemann Zenke’s 2019 paper, and its related coding tutorial SpyTorch, made it possible to apply modern machine learning to spiking neural networks. The innovation reinvigorated the field.
This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks
Friedemann Zenke’s 2019 paper, and its related coding tutorial SpyTorch, made it possible to apply modern machine learning to spiking neural networks. The innovation reinvigorated the field.