IMFAR 2010
Recent articles
Gene expression pattern could pinpoint autism
Researchers can reliably identify individuals with autism by looking at the expression pattern of a set of genes in cultured blood cells, according to a poster presented Friday at the IMFAR 2010 conference in Philadelphia.
Gene expression pattern could pinpoint autism
Researchers can reliably identify individuals with autism by looking at the expression pattern of a set of genes in cultured blood cells, according to a poster presented Friday at the IMFAR 2010 conference in Philadelphia.
Children with autism and siblings share brain ‘signature’
Children who have autism and their healthy siblings share patterns of brain activity that are different than those seen in children with no family history of the disorder, according to unpublished research presented at the IMFAR 2010 conference in Philadelphia.
Children with autism and siblings share brain ‘signature’
Children who have autism and their healthy siblings share patterns of brain activity that are different than those seen in children with no family history of the disorder, according to unpublished research presented at the IMFAR 2010 conference in Philadelphia.
Language specialization skewed in children with autism
Brain imaging reveals distinct signatures in the language circuits of young toddlers with autism while they sleep, according to unpublished data presented yesterday at the IMFAR 2010 meeting in Philadelphia.
Language specialization skewed in children with autism
Brain imaging reveals distinct signatures in the language circuits of young toddlers with autism while they sleep, according to unpublished data presented yesterday at the IMFAR 2010 meeting in Philadelphia.
People with autism misjudge quality of visual signals
Adolescents with autism can gauge the direction of moving objects just as well as healthy controls can, but their confidence in their visual ability is sometimes misplaced, according to unpublished data presented yesterday at the IMFAR 2010 conference in Philadelphia.
People with autism misjudge quality of visual signals
Adolescents with autism can gauge the direction of moving objects just as well as healthy controls can, but their confidence in their visual ability is sometimes misplaced, according to unpublished data presented yesterday at the IMFAR 2010 conference in Philadelphia.
Blinking could detect autism, group says
How interested a child with autism is in a social scene can be determined in the blink of an eye, according to research presented yesterday at IMFAR 2010.
Blinking could detect autism, group says
How interested a child with autism is in a social scene can be determined in the blink of an eye, according to research presented yesterday at IMFAR 2010.
Geometric gaze
Some children with autism prefer to look at geometric patterns rather than at 'social' images of other children — and this tendency is obvious as early as 14 months of age, according to a poster presented today at IMFAR 2010 in Philadelphia.
Geometric gaze
Some children with autism prefer to look at geometric patterns rather than at 'social' images of other children — and this tendency is obvious as early as 14 months of age, according to a poster presented today at IMFAR 2010 in Philadelphia.
Explore more from The Transmitter
Video catches microglia in the act of synaptic pruning
Live cell imaging reveals the clearest picture yet of this elusive process. Whether it’s something these cells do regularly remains up for debate.
Video catches microglia in the act of synaptic pruning
Live cell imaging reveals the clearest picture yet of this elusive process. Whether it’s something these cells do regularly remains up for debate.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.
Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.