Wainesten Camargo da Silva is a Ph.D. candidate at Universidade Federal do Tocantins in Palmas, Brazil.
Wainesten Camargo da Silva
Ph.D. candidate
Universidade Federal do Tocantins
From this contributor
Cómo planificar políticas que apoyen la comunidad autista en Brasil: Lecciones de una experiencia en Estados Unidos
Brasil podría aprender de los desafíos y éxitos de otras naciones para convertirse en líder de planificación para las necesidades de personas autistas.
How to plan policies that support the autism community in Brazil: Lessons from a U.S. experience
Brazil could learn from the challenges and successes of other nations to become a leader in planning for the needs of autistic people.
Como planejar políticas que apoiem a comunidade autista no Brasil: lições da experiência dos EUA
O Brasil poderia aprender com os desafios e os sucessos de outros países para se tornar líder no planejamento das necessidades das pessoas autistas.
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The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.