期刊
PHYSICAL REVIEW E
卷 92, 期 3, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevE.92.032908
关键词
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资金
- Research Grants Council of Hong Kong [604512, 605813, N_HKUST606/12]
- National Basic Research Program of China [2014CB846101]
- National Foundation of Natural Science of China [31261160495]
In continuous attractor neural networks (CANNs), spatially continuous information such as orientation, head direction, and spatial location is represented by Gaussian-like tuning curves that can be displaced continuously in the space of the preferred stimuli of the neurons. We investigate how short-term synaptic depression (STD) can reshape the intrinsic dynamics of the CANN model and its responses to a single static input. In particular, CANNs with STD can support various complex firing patterns and chaotic behaviors. These chaotic behaviors have the potential to encode various stimuli in the neuronal system.
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