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ORCIDKhashayar Pakdaman
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2010 – 2019
- 2013
[j30]Henri Berestycki
, Danielle Hilhorst, Frank Merle, Masayasu Mimura, Khashayar Pakdaman:
Preface. Networks Heterog. Media 8(1): i-iii (2013)- [j29]Yann Le Cunff, Annette Baudisch, Khashayar Pakdaman:
How Evolving Heterogeneity Distributions of Resource Allocation Strategies Shape Mortality Patterns. PLoS Comput. Biol. 9(1) (2013) - [j28]Khashayar Pakdaman, Benoît Perthame, Delphine Salort:
Relaxation and Self-Sustained Oscillations in the Time Elapsed Neuron Network Model. SIAM J. Appl. Math. 73(3): 1260-1279 (2013) - 2012
- [j27]Gilles Wainrib, Michèle Thieullen, Khashayar Pakdaman:
Reduction of stochastic conductance-based neuron models with time-scales separation. J. Comput. Neurosci. 32(2): 327-346 (2012) - [j26]Henri Berestycki, Danielle Hilhorst, Frank Merle, Masayasu Mimura, Khashayar Pakdaman:
Preface. Networks Heterog. Media 7(4): i-iii (2012) - [j25]Giambattista Giacomin, Khashayar Pakdaman, Xavier Pellegrin, Christophe Poquet:
Transitions in Active Rotator Systems: Invariant Hyperbolic Manifold Approach. SIAM J. Math. Anal. 44(6): 4165-4194 (2012) - 2011
- [j24]Gilles Wainrib, Michèle Thieullen, Khashayar Pakdaman:
Erratum to: Intrinsic variability of latency to first-spike. Biol. Cybern. 105(3-4): 285 (2011) - 2010
- [j23]Gilles Wainrib, Michèle Thieullen, Khashayar Pakdaman:
Intrinsic variability of latency to first-spike. Biol. Cybern. 103(1): 43-56 (2010)
2000 – 2009
- 2006
- [j22]Efstratios K. Kosmidis, Khashayar Pakdaman:
Stochastic Chaos in a Neuronal Model. Int. J. Bifurc. Chaos 16(2): 395-410 (2006) - 2003
- [j21]Efstratios K. Kosmidis, Khashayar Pakdaman:
An Analysis of the Reliability Phenomenon in the FitzHugh-Nagumo Model. J. Comput. Neurosci. 14(1): 5-22 (2003) - [j20]Maurice J. Chacron, Khashayar Pakdaman, André Longtin:
Interspike Interval Correlations, Memory, Adaptation, and Refractoriness in a Leaky Integrate-and-Fire Model with Threshold Fatigue. Neural Comput. 15(2): 253-278 (2003) - 2002
- [j19]Takanobu Yamanobe, Khashayar Pakdaman:
Response of a pacemaker neuron model to stochastic pulse trains. Biol. Cybern. 86(2): 155-166 (2002) - [j18]Takayuki Takahata, Seiji Tanabe, Khashayar Pakdaman:
White-noise stimulation of the Hodgkin-Huxley model. Biol. Cybern. 86(5): 403-417 (2002) - [j17]Khashayar Pakdaman:
The Reliability of the Stochastic Active Rotator. Neural Comput. 14(4): 781-792 (2002) - [j16]Takanobu Yamanobe, Taishin Nomura, Khashayar Pakdaman, Shunsuke Sato:
Response of a pacemaker neuron model to transient pulse trains. Syst. Comput. Jpn. 33(3): 63-73 (2002) - 2001
- [j15]Alberto Capurro, André Longtin, Epifanio Bagarinao, Shunsuke Sato, Omar Macadar, Khashayar Pakdaman:
Variability of the electric organ discharge interval duration in resting Gymnotus carapo. Biol. Cybern. 84(4): 309-321 (2001) - [j14]Eiji Takeuchi, Takanobu Yamanobe, Khashayar Pakdaman, Shunsuke Sato:
Analysis of models for crustacean stretch receptors. Biol. Cybern. 84(5): 349-363 (2001) - [j13]Seiji Tanabe, Khashayar Pakdaman:
Noise-induced transition in excitable neuron models. Biol. Cybern. 85(4): 269-280 (2001) - [j12]Khashayar Pakdaman, Seiji Tanabe, Tetsuya Shimokawa:
Coherence resonance and discharge time reliability in neurons and neuronal models. Neural Networks 14(6-7): 895-905 (2001) - 2000
- [j11]Tetsuya Shimokawa, Khashayar Pakdaman, Takayuki Takahata, Seiji Tanabe, Shunsuke Sato:
A first-passage-time analysis of the periodically forced noisy leaky integrate-and-fire model. Biol. Cybern. 83(4): 327-340 (2000)
1990 – 1999
- 1999
- [j10]Alberto Capurro, Khashayar Pakdaman, Rossana Perrone, Omar Macadar:
Analysis of the jamming avoidance response in the electric fish Gymnotus carapo. Biol. Cybern. 80(4): 269-283 (1999) - [j9]Khashayar Pakdaman, C. P. Malta, Clodoaldo Grotta Ragazzo:
Asymptotic behavior of irreducible excitatory networks of analog graded-response neurons. IEEE Trans. Neural Networks 10(6): 1375-1381 (1999) - 1998
- [j8]Yoshinobu Maeda, Khashayar Pakdaman, Taishin Nomura, Shinji Doi, Shunsuke Sato:
Reduction of a model for an Onchidium pacemaker neuron. Biol. Cybern. 78(4): 265-276 (1998) - [j7]Joël Pham, Khashayar Pakdaman, Jean Champagnat, Jean-François Vibert:
Activity in sparsely connected excitatory neural networks: effect of connectivity. Neural Networks 11(3): 415-434 (1998) - [j6]Khashayar Pakdaman, Clodoaldo Grotta Ragazzo, C. P. Malta, Ovide Arino, Jean-François Vibert:
Effect of delay on the boundary of the basin of attraction in a system of two neurons. Neural Networks 11(3): 509-519 (1998) - [j5]Khashayar Pakdaman, C. P. Malta:
A note on convergence under dynamical thresholds with delays. IEEE Trans. Neural Networks 9(1): 231-233 (1998) - [c3]Epifanio Bagarinao, Taishin Nomura, Khashayar Pakdaman, Shunsuke Sato:
Learning Dynamical Systems by Neural Networks. ICONIP 1998: 225-228 - [c2]Takanobu Yamanobe, Khashayar Pakdaman, Taishin Nomura, Shunsuke Sato:
The Response of Lobster Stretch Receptor Models to Single Pulses and Step Currents. ICONIP 1998: 1252-1255 - [c1]Hidekazu Fukai, Yoshinobu Maeda, Khashayar Pakdaman, Taishin Nomura, Shunsuke Sato:
Double Impulse Solutions in Reduced Hodgkin-Huxley Models. ICONIP 1998: 1263-1266 - 1997
- [j4]Khashayar Pakdaman, C. P. Malta, Clodoaldo Grotta Ragazzo, Jean-François Vibert:
Effect of Delay on the Boundary of the Basin of Attraction in a Self-Excited Single Graded-Response Neuron. Neural Comput. 9(2): 319-336 (1997) - 1996
- [j3]Khashayar Pakdaman, Jean-François Vibert, Eric Boussard, Noureddine Azmy:
Single Neuron with Recurrent Excitation: Effect of the Transmission Delay. Neural Networks 9(5): 797-818 (1996) - [j2]Arjen van Ooyen, Khashayar Pakdaman, Arthur R. Houweling, Jaap van Pelt, Jean-François Vibert:
Network Connectivity Changes through Activity-Dependent Neurite Outgrowth. Neural Process. Lett. 3(3): 123-130 (1996) - 1994
- [j1]Jean-François Vibert, Khashayar Pakdaman, Noureddine Azmy:
Interneural delay modification synchronizes biologically plausible neural networks. Neural Networks 7(4): 589-607 (1994)
Coauthor Index
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