메뉴 건너뛰기




Volumn 7, Issue 1, 2007, Pages

Information content in threshold data with non-gaussian noise

Author keywords

Fisher information; Gamma, noise; Stochastic resonance; Stochastic threshold model; Weber's law

Indexed keywords


EID: 34147127350     PISSN: 02194775     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219477507003702     Document Type: Article
Times cited : (4)

References (20)
  • 1
    • 0032184953 scopus 로고    scopus 로고
    • Mutual information, Fisher information, and population coding
    • N. Brunel and J. P. Nadal, Mutual information, Fisher information, and population coding, Neural Comput. 10 (1998) 1731-1757.
    • (1998) Neural Comput , vol.10 , pp. 1731-1757
    • Brunel, N.1    Nadal, J.P.2
  • 3
    • 17544386468 scopus 로고    scopus 로고
    • Stochastic resonance enhances the electrosensory information available to paddlefish for prey capture
    • P. E. Greenwood, L. M. Ward, D. F. Russel, A. Neiman and F. Moss, Stochastic resonance enhances the electrosensory information available to paddlefish for prey capture, Phys. Rev Lett. 84 (2000) 4773-4776.
    • (2000) Phys. Rev Lett , vol.84 , pp. 4773-4776
    • Greenwood, P.E.1    Ward, L.M.2    Russel, D.F.3    Neiman, A.4    Moss, F.5
  • 4
    • 0001586544 scopus 로고    scopus 로고
    • A single spike suffices: The simplest form of stochastic resonance in model neurons
    • M. Stemmler, A single spike suffices: The simplest form of stochastic resonance in model neurons, Network 7 (1996) 687-716.
    • (1996) Network , vol.7 , pp. 687-716
    • Stemmler, M.1
  • 5
    • 0036134418 scopus 로고    scopus 로고
    • Representational accuracy of stochastic neural populations
    • S. D. Wilke and C. W. Eurich, Representational accuracy of stochastic neural populations, Neural Comput. 14 (2002) 155-189.
    • (2002) Neural Comput , vol.14 , pp. 155-189
    • Wilke, S.D.1    Eurich, C.W.2
  • 6
    • 1242270645 scopus 로고    scopus 로고
    • Information processing in a neuron ensemble with the multiplicative correlation structure
    • S. Wu, S. Amari and H. Nakahara, Information processing in a neuron ensemble with the multiplicative correlation structure, Neural Networks 17 (2004) 205-214.
    • (2004) Neural Networks , vol.17 , pp. 205-214
    • Wu, S.1    Amari, S.2    Nakahara, H.3
  • 7
    • 0037330341 scopus 로고    scopus 로고
    • A review of symbolic analysis of experimental data
    • C. S. Daw, C. E. A. Finney and E. R. Tracy, A review of symbolic analysis of experimental data, Rev. Sci. Instr. 74 (2003) 915-930.
    • (2003) Rev. Sci. Instr , vol.74 , pp. 915-930
    • Daw, C.S.1    Finney, C.E.A.2    Tracy, E.R.3
  • 8
    • 0000661933 scopus 로고    scopus 로고
    • Suprathreshold stochastic resonance in multilevel threshold systems
    • N. G. Stocks, Suprathreshold stochastic resonance in multilevel threshold systems, Phys. Rev Lett. 84 (2000) 2310-2313.
    • (2000) Phys. Rev Lett , vol.84 , pp. 2310-2313
    • Stocks, N.G.1
  • 9
    • 33644768040 scopus 로고    scopus 로고
    • Optimal information transmission in nonlinear arrays through suprathreshold stochastic resonance
    • M. D. McDonnell, N. G. Stocks, C. E. M. Pearce and D. Abbott, Optimal information transmission in nonlinear arrays through suprathreshold stochastic resonance, Phys. Lett. A 352 (2006) 183-189.
    • (2006) Phys. Lett. A , vol.352 , pp. 183-189
    • McDonnell, M.D.1    Stocks, N.G.2    Pearce, C.E.M.3    Abbott, D.4
  • 10
    • 0035305570 scopus 로고    scopus 로고
    • Information transmission in parallel threshold arrays: Suprathreshold stochastic resonance
    • Art. No. 041114 Part 1
    • N. G. Stocks, Information transmission in parallel threshold arrays: Suprathreshold stochastic resonance, Phys. Rev. E 63 (2001) Art. No. 041114 Part 1.
    • (2001) Phys. Rev. E , vol.63
    • Stocks, N.G.1
  • 11
    • 0035809084 scopus 로고    scopus 로고
    • Suprathreshold stochastic resonance: An exact result for uniformly distributed signal and noise
    • N. G. Stocks, Suprathreshold stochastic resonance: an exact result for uniformly distributed signal and noise, Phys. Lett. A 279 (2001) 308-312.
    • (2001) Phys. Lett. A , vol.279 , pp. 308-312
    • Stocks, N.G.1
  • 12
    • 25644455213 scopus 로고    scopus 로고
    • Stochastic resonance and noise enhanced Fisher information
    • Y. Wang and L. Wu, Stochastic resonance and noise enhanced Fisher information, Fluct. Noise Lett. 5 (2005) L435-L442.
    • (2005) Fluct. Noise Lett , vol.5
    • Wang, Y.1    Wu, L.2
  • 13
    • 17044381400 scopus 로고    scopus 로고
    • Optimum signal in a simple neuronal model with signal-dependent noise
    • P. E. Greenwood and P. Lansky, Optimum signal in a simple neuronal model with signal-dependent noise, Biol. Cybern. 92 (2005) 199-205.
    • (2005) Biol. Cybern , vol.92 , pp. 199-205
    • Greenwood, P.E.1    Lansky, P.2
  • 15
    • 0035796609 scopus 로고    scopus 로고
    • The Ornstein-Uhlenbeck neuronal model with signal-dependent noise
    • P. Lansky and L. Sacerdote, The Ornstein-Uhlenbeck neuronal model with signal-dependent noise, Phys. Lett. A 285 (2001) 132-140.
    • (2001) Phys. Lett. A , vol.285 , pp. 132-140
    • Lansky, P.1    Sacerdote, L.2
  • 19
    • 34147119338 scopus 로고    scopus 로고
    • Optimal Signal in Sensory Neurons under Extended Rate Coding Concept
    • in press
    • P. Lansky and P. E. Greenwood, Optimal Signal in Sensory Neurons under Extended Rate Coding Concept, BioSystems (2007, in press).
    • (2007) BioSystems
    • Lansky, P.1    Greenwood, P.E.2
  • 20
    • 0000147761 scopus 로고    scopus 로고
    • Statistical analysis of stochastic resonance in a simple setting
    • P. E. Greenwood, L. M. Ward and Wefelmeyer, Statistical analysis of stochastic resonance in a simple setting, Phys. Rev. E 60 (1999) 4687-4695.
    • (1999) Phys. Rev. E , vol.60 , pp. 4687-4695
    • Greenwood, P.E.1    Ward, L.M.2    Wefelmeyer3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.