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A brain-inspired theory of mind spiking neural network for reducing safety risks of other agents
Artificial Intelligence (AI) systems are increasingly applied to complex tasks that involve
interaction with multiple agents. Such interaction-based systems can lead to safety risks …
interaction with multiple agents. Such interaction-based systems can lead to safety risks …
Heisenberg scaling based on population coding
M Hayashi - arxiv preprint arxiv:2410.13399, 2024 - arxiv.org
We study Heisenberg scaling of quantum metrology in the viewpoint of population coding.
Although Fisher information has been used for a figure of merit to characterize Heisenberg …
Although Fisher information has been used for a figure of merit to characterize Heisenberg …
A methodology for assessing the effect of correlations among muscle synergy activations on task-discriminating information
Muscle synergies have been hypothesized to be the building blocks used by the central
nervous system to generate movement. According to this hypothesis, the accomplishment of …
nervous system to generate movement. According to this hypothesis, the accomplishment of …
[HTML][HTML] Neural Dynamics Associated with Biological Variation in Normal Human Brain Regions
The processes involved in encoding and decoding signals in the human brain are a
continually studied topic, as neuronal information flow involves complex nonlinear …
continually studied topic, as neuronal information flow involves complex nonlinear …
Learning higher-order functions for computation, memorization and control with artificial neural networks
M Chalvidal - 2023 - theses.hal.science
After decades of research, the question of how biological neural networks synthesize
experience to serve higher-level cognitive processes (concept acquisition, systematic …
experience to serve higher-level cognitive processes (concept acquisition, systematic …