ABSTRACT

Estimating Information Rates ........................................................... 140 6.3 Information in LGN Spikes about Retinal Oscillations ............................... 141

6.3.1 Demodulation of Retinal Oscillations .............................................. 141 6.3.2 Spike-Triggered Distributions of the Reference Signal .................... 142 6.3.3 Autoregressive Models of the Reference Signal ............................... 143 6.3.4 Model of the Signal Distribution Conditioned on the Spike History .....145 6.3.5 Information That a Spike Carries about a Periodic

Intrinsic Brain Signal ........................................................................ 147 6.4 Discussion ..................................................................................................... 148 Acknowledgments .................................................................................................. 150 References .............................................................................................................. 150

spike trains about external stimuli [RWvSB99], our method allows a direct comparison of the different inuences on a neuron’s activity in terms of encoded information. This method can be applied to recorded data, and can help test functional theories about ongoing neural activity, of which there are several promising, although so far unproven, ones.