AIMC Topic: Neurosciences
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Neuromorphic engineering: Artificial brains for artificial intelligence.
Annals of the New York Academy of Sciences
Nov 20, 2024
Neuromorphic engineering is a research discipline that tries to bridge the gaps between neuroscience and engineering, cognition and algorithms, and natural and artificial intelligence. Neuromorphic engineering promises revolutionary breakthroughs tha...
Neuroscientific insights about computer vision models: a concise review.
Biological cybernetics
Oct 9, 2024
The development of biologically-inspired computational models has been the focus of study ever since the artificial neuron was introduced by McCulloch and Pitts in 1943. However, a scrutiny of literature reveals that most attempts to replicate the hi...
Implications of the novel EU AI Act for neurotechnologies.
Neuron
Sep 17, 2024
The EU AI Act, the first comprehensive regulation of AI, came into effect in August. Here, we provide an overview of the provisions that apply to the field of neurotechnology with respect to research and development and neuroscience practice and disc...
Machine Learning-Generated Clinical Data as Collateral Research: A Global Neuroethical Analysis.
The American journal of bioethics : AJOB
Sep 16, 2024
Neuroethics and AI ethics: a proposal for collaboration.
BMC neuroscience
Aug 29, 2024
The scientific relationship between neuroscience and artificial intelligence is generally acknowledged, and the role that their long history of collaboration has played in advancing both fields is often emphasized. Beyond the important scientific ins...
Large-scale foundation models and generative AI for BigData neuroscience.
Neuroscience research
Jun 17, 2024
Recent advances in machine learning have led to revolutionary breakthroughs in computer games, image and natural language understanding, and scientific discovery. Foundation models and large-scale language models (LLMs) have recently achieved human-l...
Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience.
Nature neuroscience
May 22, 2024
The study of complex behaviors is often challenging when using manual annotation due to the absence of quantifiable behavioral definitions and the subjective nature of behavioral annotation. Integration of supervised machine learning approaches mitig...
A new era in cognitive neuroscience: the tidal wave of artificial intelligence (AI).
BMC neuroscience
May 6, 2024
Translating artificial intelligence techniques into the realm of cognitive neuroscience holds promise for significant breakthroughs in our ability to probe the intrinsic mechanisms of the brain. The recent unprecedented development of robust AI model...
What have we learned about artificial intelligence from studying the brain?
Biological cybernetics
Feb 10, 2024
Neuroscience and artificial intelligence (AI) share a long, intertwined history. It has been argued that discoveries in neuroscience were (and continue to be) instrumental in driving the development of new AI technology. Scrutinizing these historical...
Editorial overview: Computational neuroscience as a bridge between artificial intelligence, modeling and data.
Current opinion in neurobiology
Jan 6, 2024
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