Search results
- 1.0498571 - FGÚ 2019 RIV US eng J - Journal Article
D´Onofrio, Giuseppe - Macci, C. - Pirozzi, E.
Asymptotic Results for First-Passage Times of Some Exponential Processes.
Methodology and Computing in Applied Probability. Roč. 20, č. 4 (2018), s. 1453-1476. ISSN 1387-5841. E-ISSN 1573-7713
R&D Projects: GA ČR(CZ) GA17-06943S
Institutional support: RVO:67985823
Keywords : compound poisson proces * large deviations * moderate deviations * normal approximation * neuronal model
OECD category: Statistics and probability
Impact factor: 0.746, year: 2018
Permanent Link: http://hdl.handle.net/11104/0290898 - 2.0461569 - FGÚ 2017 RIV DE eng J - Journal Article
Lánský, Petr - Sacerdote, L. - Zucca, C.
The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model.
Biological Cybernetics. Roč. 110, 2-3 (2016), s. 193-200. ISSN 0340-1200. E-ISSN 1432-0770
R&D Projects: GA ČR(CZ) GA15-08066S
Institutional support: RVO:67985823
Keywords : first-passage-time problem * leaky integrate-and-fire * Stein's neuronal model
Subject RIV: BD - Theory of Information
Impact factor: 1.716, year: 2016
Permanent Link: http://hdl.handle.net/11104/0261182 - 3.0398688 - FGÚ 2014 RIV NL eng J - Journal Article
Rospars, J. P. - Šanda, Pavel - Lánský, Petr - Duchamp-Viret, P.
Responses of single neurons and neuronal ensembles in frog first- and second-order olfactory neurons.
Brain Research. Roč. 1536, NOV 6 (2013), s. 144-158. ISSN 0006-8993. E-ISSN 1872-6240
R&D Projects: GA ČR(CZ) GBP304/12/G069; GA ČR(CZ) GAP103/11/0282
Institutional support: RVO:67985823
Keywords : olfaction * spiking activity * neuronal model
Subject RIV: JD - Computer Applications, Robotics
Impact factor: 2.828, year: 2013
Permanent Link: http://hdl.handle.net/11104/0226156 - 4.0354420 - FGÚ 2011 RIV CN eng J - Journal Article
Košťál, Lubomír - Maršálek, P.
Neuronal Jitter: Can we measure the spike timing dispersion differently?
Chinese Journal of Physiology. Roč. 53, č. 6 (2010), s. 454-464. ISSN 0304-4920. E-ISSN 2666-0059
R&D Projects: GA MŠMT(CZ) LC554
Institutional research plan: CEZ:AV0Z50110509
Keywords : neuronal model * entropy
Subject RIV: FH - Neurology
Impact factor: 0.683, year: 2010
Permanent Link: http://hdl.handle.net/11104/0193425 - 5.0329308 - ÚŽFG 2010 RIV IT eng C - Conference Paper (international conference)
Hruška-Plocháň, Marian - Vodička, Petr - Lacková, Monika - Usvald, Dušan - Juhás, Štefan - Hrdličková, R. - Miyanohara, A. - Maršala, M. - Motlík, Jan
Porcine neuronal models that recapitulate HD pathogenesis in vitro.
IV. Meeting on the molecular mechanisms of neurodegeneration. Vol. P 50. Milano: Keyword Europa, 2009, s. 32-32.
[IV. Meeting on the molecular mechanisms of neurodegeneration. Miláno (IT), 08.05.2009-10.05.2009]
R&D Projects: GA MŠMT 1M0506
Institutional research plan: CEZ:AV0Z50450515
Keywords : Huntington disease * porcine neuronal model
Subject RIV: FH - Neurology
Permanent Link: http://hdl.handle.net/11104/0175380 - 6.0318202 - FGÚ 2009 RIV DE eng J - Journal Article
Lánský, Petr - Ditlevsen, S.
A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models.
[Přehled postupů pro odhad signálu v náhodných difuzních modelech neuronu.]
Biological Cybernetics. Roč. 99, 4-5 (2008), s. 253-262. ISSN 0340-1200. E-ISSN 1432-0770
R&D Projects: GA MŠMT(CZ) LC554; GA AV ČR(CZ) 1ET400110401
Institutional research plan: CEZ:AV0Z50110509
Keywords : parameter estimation * stochastic diffusion neuronal model
Subject RIV: BO - Biophysics
Impact factor: 1.935, year: 2008
Permanent Link: http://hdl.handle.net/11104/0167675 - 7.0313352 - FGÚ 2009 RIV US eng J - Journal Article
Picchini, U. - Ditlevsen, S. - De Gaetano, A. - Lánský, Petr
Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal.
[Parametry difuzního neuronového modelu pro pomalu se měnící signal.]
Neural Computation. Roč. 20, č. 11 (2008), s. 2696-2714. ISSN 0899-7667. E-ISSN 1530-888X
R&D Projects: GA MŠMT(CZ) LC554; GA AV ČR(CZ) 1ET400110401
Institutional research plan: CEZ:AV0Z50110509
Keywords : parameter estimation * stochastic diffusion neuronal model
Subject RIV: BO - Biophysics
Impact factor: 2.378, year: 2008
Permanent Link: http://hdl.handle.net/11104/0164200 - 8.0312012 - FGÚ 2009 RIV US eng C - Conference Paper (international conference)
Ditlevsen, S. - Lánský, Petr
Comparison of Statistical Methods for Estimation of the Input Parameters in the Ornstein-Uhlenbeck neuronal Model from First-Passage Times Data.
[Srovnání statistických postupů pro odhad parametrů vstupu v Ornstein-Uhlenbeckově neuronovém modelu z doby prvního dosažení.]
Collective Dynamics: Topics on Competition and Cooperation in the Biosciences. Melville: American Institute of Physics, 2008 - (Ricciardi, L.; Buonocore, A.; Pirozzi, E.), s. 171-185. AIP Conference Proceedings, Vol.1028. ISBN 978-0-7354-0552-3. ISSN 0094-243X.
[BIOCOMP 2007. Vietri sul Mare (IT), 24.09.2007-28.09.2007]
R&D Projects: GA AV ČR(CZ) 1ET400110401; GA MŠMT(CZ) LC554
Institutional research plan: CEZ:AV0Z50110509
Keywords : Ornstein-Uhlenbeck neuronal model * estimation * first-passage time
Subject RIV: BO - Biophysics
Permanent Link: http://hdl.handle.net/11104/0163188 - 9.0311437 - FGÚ 2009 RIV US eng J - Journal Article
Bibbona, E. - Lánský, Petr - Sacerdote, L. - Sirovich, R.
Errors in estimation of the input signal for integrate-and-fire neuronal models.
[Chyby v odhadu vstupního signálu pro neuronové modely typu „integrate-and-fire“.]
Physical Review E. Roč. 78, č. 1 (2008), s. 1-10. ISSN 1539-3755
R&D Projects: GA MŠMT(CZ) LC554; GA AV ČR(CZ) 1ET400110401
Grant - others:EC(XE) MIUR PRIN 2005
Institutional research plan: CEZ:AV0Z50110509
Keywords : parameter estimation * stochastic neuronal model
Subject RIV: BO - Biophysics
Impact factor: 2.508, year: 2008
http://link.aps.org/abstract/PRE/v78/e011918
Permanent Link: http://hdl.handle.net/11104/0163053 - 10.0142517 - FGU-C 20030142 RIV US eng M - Monography Chapter
Ricciardi, L. M. - Lánský, Petr
Diffusion models of neuron activity.
The handbook of brain theory and neural networks. 2. Cambridge, Mass.: MIT Press, 2003 - (Arbib, M.), s. 343-348. ISBN 0-262-01197-2
R&D Projects: GA ČR GA309/02/0168
Institutional research plan: CEZ:AV0Z5011922
Keywords : neuronal model * diffusion process
Subject RIV: ED - Physiology
Permanent Link: http://hdl.handle.net/11104/0040218