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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Finally, a new route for the magnetic-sense field
Researchers have dueled for years over how the magnetic sense works. New data from monarch butterflies could finally help settle the debate.
Finally, a new route for the magnetic-sense field
Researchers have dueled for years over how the magnetic sense works. New data from monarch butterflies could finally help settle the debate.
Sensory over-responsivity tied to autism, anxiety but not other conditions
Negative reactions to sensations track with certain neurodevelopmental traits in more than 15,000 children—pointing to shared neurobiological roots.
Sensory over-responsivity tied to autism, anxiety but not other conditions
Negative reactions to sensations track with certain neurodevelopmental traits in more than 15,000 children—pointing to shared neurobiological roots.
Neuromechanical models deepen our understanding of animal motor control
Thanks to recent progress in physics-based simulators and robotics, it has never been easier for neuroscientists to use neuromechanical modeling to test hypotheses about animal movement.
Neuromechanical models deepen our understanding of animal motor control
Thanks to recent progress in physics-based simulators and robotics, it has never been easier for neuroscientists to use neuromechanical modeling to test hypotheses about animal movement.