[Paper study] Network oscillations: emerging computational principles
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Three functional roles of oscillation:
To test this theory, techniques to interfere oscillation, such as gene knock-out or viral vectors, should be used to show such interference could disrupt perception.
Encoding by phase and oscillation & binding.
Inhibitory interneuron networks are sources of oscillations and potential targets of top down inputs.In particular, excitory input can rapidly synchronize a subset of the inhibitory neurons that are in competition with other inhibitory networks. (Tiesinga and Sejnowski 2004 rapid temporal modulation of synchrony by competition in cortical interneuron networks)
Information stored during oscillation via STDP. And retrieved based on Bayesian interference.
Sejnowski, Terrence J., and Ole Paulsen. “Network oscillations: emerging computational principles.” The Journal of neuroscience 26.6 (2006): 1673-1676.
- Representation of information
To test this theory, techniques to interfere oscillation, such as gene knock-out or viral vectors, should be used to show such interference could disrupt perception.
Encoding by phase and oscillation & binding.
- Regulate information flow
Inhibitory interneuron networks are sources of oscillations and potential targets of top down inputs.In particular, excitory input can rapidly synchronize a subset of the inhibitory neurons that are in competition with other inhibitory networks. (Tiesinga and Sejnowski 2004 rapid temporal modulation of synchrony by competition in cortical interneuron networks)
- Storage and retrieval of information
Information stored during oscillation via STDP. And retrieved based on Bayesian interference.
Sejnowski, Terrence J., and Ole Paulsen. “Network oscillations: emerging computational principles.” The Journal of neuroscience 26.6 (2006): 1673-1676.
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