Figure 8:
Analysis of epoch 26 data using a DDF neuron trained on 1000 ms epoch 25 V(t) data. (Top) Istim(t) for epoch 26 in the forecast window. This is different from the Istim(t) used in the epoch 25 training window. (Bottom) Observed current clamp data and DDF forecast in the epoch 26 time window using the epoch 25 trained DDF. The performance is worst for regions of Istim(t) comprising square pulses; this is consistent with the observations in Mainen and Sejnowski (1995). h = 0.02 ms, τ=2h, Nc=5000, DE=4, R = 10-3, β=10-3.

Analysis of epoch 26 data using a DDF neuron trained on 1000 ms epoch 25 V(t) data. (Top) Istim(t) for epoch 26 in the forecast window. This is different from the Istim(t) used in the epoch 25 training window. (Bottom) Observed current clamp data and DDF forecast in the epoch 26 time window using the epoch 25 trained DDF. The performance is worst for regions of Istim(t) comprising square pulses; this is consistent with the observations in Mainen and Sejnowski (1995). h = 0.02 ms, τ=2h⁠, Nc=5000⁠, DE=4⁠, R = 10-3⁠, β=10-3⁠.

Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy. No content on this site may be used to train artificial intelligence systems without permission in writing from the MIT Press.
Accept