AIMC Topic: Neurosciences
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A virtuous cycle between invertebrate and robotics research: perspective on a decade of Living Machines research.
Bioinspiration & biomimetics
Mar 27, 2023
Many invertebrates are ideal model systems on which to base robot design principles due to their success in solving seemingly complex tasks across domains while possessing smaller nervous systems than vertebrates. Three areas are particularly relevan...
Catalyzing next-generation Artificial Intelligence through NeuroAI.
Nature communications
Mar 22, 2023
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI. A core component of this is the embodied Turing test, which c...
Emulating future neurotechnology using magic.
Consciousness and cognition
Dec 23, 2022
Recent developments in neuroscience and artificial intelligence have allowed machines to decode mental processes with growing accuracy. Neuroethicists have speculated that perfecting these technologies may result in reactions ranging from an invasion...
Data-driven emergence of convolutional structure in neural networks.
Proceedings of the National Academy of Sciences of the United States of America
Sep 26, 2022
Exploiting data invariances is crucial for efficient learning in both artificial and biological neural circuits. Understanding how neural networks can discover appropriate representations capable of harnessing the underlying symmetries of their input...
Codimension-2 parameter space structure of continuous-time recurrent neural networks.
Biological cybernetics
Jun 20, 2022
If we are ever to move beyond the study of isolated special cases in theoretical neuroscience, we need to develop more general theories of neural circuits over a given neural model. The present paper considers this challenge in the context of continu...
Addressing neuroethics issues in practice: Lessons learnt by tech companies in AI ethics.
Neuron
May 24, 2022
Neurotechnologies raise ethical concerns overlapping with those of other technologies, like artificial intelligence (AI). We discuss how to leverage the experience and lessons learnt by tech companies addressing AI ethics issues to accelerate going f...
Linking Brain Structure, Activity, and Cognitive Function through Computation.
eNeuro
Mar 11, 2022
Understanding the human brain is a "Grand Challenge" for 21st century research. Computational approaches enable large and complex datasets to be addressed efficiently, supported by artificial neural networks, modeling and simulation. Dynamic generati...
A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots.
Neural networks : the official journal of the International Neural Network Society
Mar 9, 2022
Building a human-like integrative artificial cognitive system, that is, an artificial general intelligence (AGI), is the holy grail of the artificial intelligence (AI) field. Furthermore, a computational model that enables an artificial system to ach...
Superposition mechanism as a neural basis for understanding others.
Scientific reports
Feb 21, 2022
Social cognition has received much attention in fields such as neuroscience, psychology, cognitive science, and philosophy. Theory-theory (TT) and simulation theory (ST) provide the dominant theoretical frameworks for research on social cognition. Ho...
AI ethics in computational psychiatry: From the neuroscience of consciousness to the ethics of consciousness.
Behavioural brain research
Dec 4, 2021
Methods used in artificial intelligence (AI) overlap with methods used in computational psychiatry (CP). Hence, considerations from AI ethics are also relevant to ethical discussions of CP. Ethical issues include, among others, fairness and data owne...
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