Measuring entropy in continuous and digitally filtered neural signals

Journal of Neuroscience Methods

Volumn 196, Issue 1, 2011, Pages 81-87

  French, Andrew S ^a   Pfeiffer, Keram ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Algorithm; Compression; Entropy; Information; Mechanoreceptor; Sorting

Indexed keywords

ALGORITHM; ARTICLE; ENTROPY; MEASUREMENT; MECHANORECEPTOR; PRIORITY JOURNAL; PROBABILITY; SIGNAL PROCESSING; STATISTICAL ANALYSIS; VALIDITY;

ACTION POTENTIALS; ANIMALS; COMPUTER SIMULATION; ENTROPY; MECHANORECEPTORS; MODELS, NEUROLOGICAL; PROBABILITY; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SPIDERS;

EID: 79951557874     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2011.01.002     Document Type: Article

References (17)

1. Borst A., Theunissen F.E. Information theory and neural coding. Nat Neurosci 1999, 2:947-957.
2. Chacron M.J., Doiron B., Maler L., Longtin A., Bastian J. Non-classical receptive field mediates switch in a sensory neuron's frequency tuning. Nature 2003, 423:77-81.
3. Cover T.M., Thomas J.A. Elements of information theory 1991, Wiley, New York/Toronto, p. 1-542.
4. French A.S., Holden A.V. Alias-free sampling of neuronal spike trains. Kybernetik 1971, 8:165-171.
5. French A.S., Höger U., Sekizawa S-i., Torkkeli P.H. A context-free data compression approach to measuring information transmission by action potentials. Biosystems 2003, 69:55-61.
6. French A.S., Höger U., Sekizawa S-i, Torkkeli P.H. Frequency response functions and information capacities of paired spider mechanoreceptor neurons. Biol Cybern 2001, 85:293-300.
7. Jiménez-Montano M.A., Penagos H., Hernandez Torres A., Diez-Martinez O. Measures of complexity in neural spike-trains of the slowly adapting stretch receptor organs. Biosystems 2000, 58:117-124.
8. Juusola M., French A.S. The efficiency of sensory information coding by mechanoreceptor neurons. Neuron 1997, 18:959-968.
9. Juusola M., Seyfarth E.-A., French A.S. Sodium-dependent receptor current in a new mechanoreceptor preparation. J Neurophysiol 1994, 72:3026-3028.
10. Juusola M., de Polavieja G.G. The rate of information transfer of naturalistic stimulation by graded potentials. J Gen Physiol 2003, 122:191-206.
11. Knuth D.E. The art of computer programming 1998, Addison-Wesley, Reading, MA, p. 1-780.
12. Nyquist H. Certain topics in telegraph transmission theory. Trans Am Inst Elec Eng 1928, 47:617-644.
13. Pfeiffer K., French A.S. GABAergic excitation of spider mechanoreceptors increases information capacity by increasing entropy rather than decreasing jitter. J Neurosci 2009, 29:10989-10994.
14. Rapp P.E., Zimmerman I.D., Vining E.P., Cohen N., Albano A.M., Jiménez-Montano M.A. The algorithmic complexity of neural spike trains increases during focal seizures. J Neurosci 1994, 14:4731-4739.
15. Rieke F., Warland D.D., de Ruyter van Steveninck R., Bialek W. Spikes. Exploring the neural code 1997, MIT Press, Cambridge, MA, p. 1-395.
16. Salomon D., Motto G., Bryant D. Data compression: the complete reference 2007, Springer, New York.
17. Shannon C.E., Weaver W. The mathematical theory of communication 1949, University of Illinois Press, Urbana/Chicago/London, p. 1-117.