III-40. Long-term Decoding Stability without Retraining for Intracortical Brain Computer Interface
نویسندگان
چکیده
an approximation of the full dynamics which becomes exact in the limit of small population activity and/or weak refractoriness. This approximation allows us to derive an expression for encoding and decoding time-dependent stimulus in the population activity. In like manner, we derive an expression for the linear filter which shows how high-pass and band-pass properties can arise from distinct shapes of the spike after-potential. In all cases the approximation matches very well with direct simulations of large neuronal populations. An analytical expression can shed light onto previously obscure processes. Here we discover that the decoding of a population of weakly active neurons only requires two quantities: i) the instantaneous population activity and ii) an accumulation of the past history weighted by a factor that relates to the effective spike after-potential. The results presented here can be used to make mean-field theory models of neuron networks closer to experimental observations.
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