Capacity of a single spiking neuron

It is widely believed the neurons transmit information in the form of spikes. Since the spike patterns are known to be noisy, the neuron information channel is noisy. We have investigated the channel capacity of this "Spiking neuron channel" for both of the "temporal coding" and the "rate coding," which are two main coding considered in the neuroscience [1, 2]. As the result, we've proved that the distribution of inputs, which achieves the channel capacity, is a discrete distribution with finite mass points for temporal and rate coding under a reasonable assumption. In this draft, we show the details of the proof.

[1]  Aslan Tchamkerten,et al.  On the discreteness of capacity-achieving distributions , 2004, IEEE Transactions on Information Theory.

[2]  Petr Lánský,et al.  Parameters of Spike Trains Observed in a Short Time Window , 2008, Neural Computation.

[3]  H. Vincent Poor,et al.  The Capacity of the Noncoherent Rician Fading Channel∗ , 2004 .

[4]  S. Shamai,et al.  Capacity of a pulse amplitude modulated direct detection photon channel , 1990 .

[5]  HE Ixtroductiont,et al.  The Bell System Technical Journal , 2022 .

[6]  R. Stein,et al.  The information capacity of nerve cells using a frequency code. , 1967, Biophysical journal.

[7]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[8]  Ibrahim C. Abou-Faycal,et al.  The capacity of discrete-time memoryless Rayleigh-fading channels , 2001, IEEE Trans. Inf. Theory.

[9]  Shigeru Shinomoto,et al.  Differences in Spiking Patterns Among Cortical Neurons , 2003, Neural Computation.

[10]  M. V. Rossum,et al.  In Neural Computation , 2022 .

[11]  R N Lemon,et al.  Precise spatiotemporal repeating patterns in monkey primary and supplementary motor areas occur at chance levels. , 2000, Journal of neurophysiology.

[12]  S. Lowen The Biophysical Journal , 1960, Nature.

[13]  D. Luenberger Optimization by Vector Space Methods , 1968 .

[14]  H. Vincent Poor,et al.  The noncoherent rician fading Channel-part I: structure of the capacity-achieving input , 2005, IEEE Transactions on Wireless Communications.

[15]  Joel G. Smith,et al.  The Information Capacity of Amplitude- and Variance-Constrained Scalar Gaussian Channels , 1971, Inf. Control..

[16]  Oscar H. IBARm Information and Control , 1957, Nature.

[17]  Shigeru Shinomoto,et al.  Estimating Instantaneous Irregularity of Neuronal Firing , 2009, Neural Computation.

[18]  Shiro Ikeda,et al.  Capacity of a Single Spiking Neuron Channel , 2009, Neural Computation.

[19]  J.-M. Goethals,et al.  IEEE international symposium on information theory , 1981 .

[20]  Axthonv G. Oettinger,et al.  IEEE Transactions on Information Theory , 1998 .