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Scientists decry conference’s use of hidden prompts to snare AI peer reviews
The invisible messages, which instruct large language models to use telltale phrases in a peer-review report, are effective in catching artificial-intelligence misuse but also erode trust, some say.
Scientists decry conference’s use of hidden prompts to snare AI peer reviews
Data duplications flagged in highly cited gut-brain studies
The duplications are a product of “inadvertent errors,” the authors say.
Data duplications flagged in highly cited gut-brain studies
Lack of reviewers threatens robustness of neuroscience literature
Simple math suggests that small groups of scientists can significantly bias peer review.
Lack of reviewers threatens robustness of neuroscience literature
Largest leucovorin-autism trial retracted
A reanalysis of the data revealed errors and failed to replicate the results.
Largest leucovorin-autism trial retracted
NIH scraps policy that classified basic research in people as clinical trials
The policy aimed to increase the transparency of research in humans but created “a bureaucratic nightmare” for basic neuroscientists.
NIH scraps policy that classified basic research in people as clinical trials
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New findings begin to resolve theta sweep debate
Theta sweeps have been mired in controversy for decades, but the field is starting to converge on a consensus view of their function.
New findings begin to resolve theta sweep debate
Theta sweeps have been mired in controversy for decades, but the field is starting to converge on a consensus view of their function.
Reverse engineering neural circuits; success stories from computational neuroscience
Kevin Mitchell talks with Timothy Behrens about ring attractors, the role of innate structure, and an expanded view of cognitive maps.
Reverse engineering neural circuits; success stories from computational neuroscience
Kevin Mitchell talks with Timothy Behrens about ring attractors, the role of innate structure, and an expanded view of cognitive maps.
Alison Barth discovers how different neuron types contribute to cortical function
Barth uses learning tasks in mice as a tool to drive synaptic plasticity in the sensory cortex, hoping to unlock more general principles of how the cortex works.
Alison Barth discovers how different neuron types contribute to cortical function
Barth uses learning tasks in mice as a tool to drive synaptic plasticity in the sensory cortex, hoping to unlock more general principles of how the cortex works.