David Skuse
Professor
University College London
From this contributor
Few people mourn Asperger syndrome’s loss from diagnostic manuals
Our concept of autism has evolved over the past 20 years, rendering redundant the diagnostic labels of Asperger syndrome and pervasive developmental disorder-not otherwise specified.
Few people mourn Asperger syndrome’s loss from diagnostic manuals
Defining language deficits across autism spectrum
We are on the verge of a seismic shift in the definition of autism spectrum disorders, says David Skuse. Under proposed guidelines for autism diagnosis, the canard that most people with the disorder cannot speak, or have such disordered language that they cannot sustain a conversation, has been abandoned.
Defining language deficits across autism spectrum
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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.