Rachel Moseley is principal academic in psychology at Bournemouth University in the United Kingdom. Her research centers around issues that autistic adults face, including mental ill-health, suicidality, self-injury, aging and late diagnosis. She also investigates aspects of cognition and social communication in autistic people and how these differ depending on personal characteristics, such as sex.
Rachel Moseley
Principal academic
Bournemouth University
From this contributor
Autism and menopause: Q&A with Rachel Moseley and Julie Turner-Cobb
Menopause poses significant challenges for autistic people, according to a small survey published in 2020 — the first to explore the transition among people with autism traits.
Autism and menopause: Q&A with Rachel Moseley and Julie Turner-Cobb
Autism and eating disorders may have an emotional connection
Eating disorders have the highest mortality rates of any kinds of mental illness. They don’t discriminate, affecting people of all ethnicities, sexualities, gender identities, ages and backgrounds.
Autism and eating disorders may have an emotional connection
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Commentary: Citation graphs may underestimate neuroscience’s influence on AI
An alternative, albeit less quantitative, way to trace this history is through the people who carried ideas between the fields.
Commentary: Citation graphs may underestimate neuroscience’s influence on AI
An alternative, albeit less quantitative, way to trace this history is through the people who carried ideas between the fields.
Commentary: The rising absolute number of neuro-inspired AI papers represents a substantial footprint
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Commentary: The rising absolute number of neuro-inspired AI papers represents a substantial footprint
Many of the design choices present in the current generation of artificial-intelligence tools parallel purported properties of the brain.
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.