论文信息 - AI mimics brain codes for navigation

AI mimics brain codes for navigation

An artificial-intelligence technique called deep learning has now been used to model spatial navigation. The system develops a representation of space similar to that of the grid cells found in the mammalian brain.An artificial-intelligence technique called deep learning has now been used to model spatial navigation. The system develops a representation of space similar to that of the grid cells found in the mammalian brain.

Francesco Savelli | James J. Knierim | J. Knierim | F. Savelli

[1] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.

[2] Razvan Pascanu,et al. Vector-based navigation using grid-like representations in artificial agents , 2018, Nature.

[3] Bruce L. McNaughton,et al. Path integration and the neural basis of the 'cognitive map' , 2006, Nature Reviews Neuroscience.

[4] Ashley N. Linder,et al. The Spatial Periodicity of Grid Cells Is Not Sustained During Reduced Theta Oscillations , 2011, Science.

[5] C. Gallistel. The organization of learning , 1990 .

[6] K. Jeffery,et al. Grid Cells Form a Global Representation of Connected Environments , 2015, Current Biology.

[7] Francesco Savelli,et al. Framing of grid cells within and beyond navigation boundaries , 2017, eLife.

[8] S. Romani,et al. Theta sequences are essential for internally generated hippocampal firing fields , 2014, Nature Neuroscience.

[9] Sebastian Thrun,et al. Probabilistic robotics , 2002, CACM.

[10] Thomas J. Wills,et al. A Developmental Switch in Place Cell Accuracy Coincides with Grid Cell Maturation , 2015, Neuron.

[11] Kiah Hardcastle,et al. Grid scale drives the scale and long-term stability of place maps , 2018, Nature Neuroscience.