This paper shows that an LSTM with a dense output layer and reverse-order sequence-to-sequence training predicts Hodgkin-Huxley CA1 neuron dynamics, with longer predictive horizons lowering the 500 ms RMSE.
How good are neuron models? Science, 326(5951):379–380, 2009
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.NC 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory
This paper shows that an LSTM with a dense output layer and reverse-order sequence-to-sequence training predicts Hodgkin-Huxley CA1 neuron dynamics, with longer predictive horizons lowering the 500 ms RMSE.