A context-free data compression approach to measuring information transmission by action potentials

BioSystems

Volumn 69, Issue 1, 2003, Pages 55-61

  French, Andrew S ^a   Höger, Ulli ^a   Sekizawa, Shin Ichi ^a   Torkkeli, Päivi H ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Context free grammar; Information capacity; Information content; Mechanoreceptor; Neural coding; Signal to noise ratio

Indexed keywords

NEUROLOGY;

ACTION POTENTIAL; ARTICLE; BIOINFORMATICS; DIGITAL COMPUTER; HUMAN; INFORMATION PROCESSING; MECHANORECEPTOR; SENSORY NERVE CELL;

EID: 0037377129     PISSN: 03032647     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0303-2647(02)00162-4     Document Type: Article

References (17)

1. Bendat, J.S., Piersol, A.G., 1980. Engineering Applications of Correlation and Spectral Analysis. Wiley, New York.
2. de Ruyter van Steveninck R., Laughlin S.B. The rate of information transfer at graded-potential synapses. Nature. 379:1996;642-645.
3. Ebeling W., Jiménez-Montaño M.A. On grammars, complexity, and information measures of biological macromolecules. Math. BioSci. 52:1980;53-71.
4. French A.S. Coherence improvement in white noise analysis by the use of a repeated random sequence generator. IEEE Trans. Biomed. Eng. 27:1980;51-53.
5. French, A.S., Marmarelis, V.Z., 1999. Nonlinear analysis of neuronal systems. In: Windhorst, U., Johansson, H.F. (Eds.), Modern Techniques in Neuroscience Research. Springer, Berlin, pp. 627-640.
6. French A.S., Torkkeli P.H. Information transmission at 500 bits/s by action potentials in a mechanosensory neuron of the cockroach. Neurosci. Lett. 243:1998;113-116.
7. French A.S., Höger U., Sekizawa S.-I., Torkkeli P.H. Frequency response functions and information capacities of paired spider mechanoreceptor neurons. Biol. Cybern. 85:2001;293-300.
8. Jiménez-Montaño M.A., Penagos H., Hernandez T.A., Diez-Martínez O. Measures of complexity in neural spike-trains of the slowly adapting stretch receptor organs. Biosystems. 58:2000;117-124.
9. Juusola M., French A.S. The efficiency of sensory information coding by mechanoreceptor neurons. Neuron. 18:1997;959-968.
10. Levin J.E., Miller J.P. Broadband neural encoding in the cricket cercal sensory system enhanced by stochastic resonance. Nature. 380:1996;165-168.
11. MacKay D.M., McCulloch W.S. The limiting information capacity of a neuronal link. Bull. Math. Biophys. 14:1952;127-135.
12. Rapp P.E., Zimmerman I.D., Vining E.P., Cohen N., Albano A.M., Jiménez-Montaño M.A. The algorithmic complexity of neural spike trains increases during focal seizures. J. Neurosci. 14:1994;4731-4739.
13. Rieke, F., Warland, D.D., de Ruyter van Steveninck, R., Bialek, W., 1997. Spikes. Exploring the Neural Code. MIT Press, Cambridge, MA.
14. Sakuranaga M., Ando Y.I., Naka K.I. Dynamics of ganglion cell response in the catfish and frog retinas. J. Gen. Physiol. 90:1987;229-259.
15. Shannon, C.E., Weaver, W., 1949. The Mathematical Theory of Communication. University of Illinois Press, Urbana, Chicago and London.
16. Stein R.B., French A.S., Holden A.V. The frequency response, coherence and information capacity of two neural models. Biophys. J. 12:1972;295-322.
17. Warland, D.D., Landolfa, M.A., Miller, J.P., Bialek, W., 1992. Reading between the spikes in the cercal filiform hair receptors of the cricket. In: Eckman, F. (Ed.), Analysis and Modeling of Neural Systems. Kluwer Academic, Boston, pp. 327-333.