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Idan Segev
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2020 – today
- 2022
- [j21]Gilad Shapira, Mira Marcus-Kalish, Oren Amsalem, Werner Van Geit
, Idan Segev, David M. Steinberg:
Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket Cells. Frontiers Big Data 5: 789962 (2022) - 2021
- [j20]Toviah Moldwin
The gradient clusteron: A model neuron that learns to solve classification tasks via dendritic nonlinearities, structural plasticity, and gradient descent. PLoS Comput. Biol. 17(5) (2021) - [j19]Siwei Wang
Maximally efficient prediction in the early fly visual system may support evasive flight maneuvers. PLoS Comput. Biol. 17(5) (2021) - [j18]Eilam Goldenberg Leleo
Burst control: Synaptic conditions for burst generation in cortical layer 5 pyramidal neurons. PLoS Comput. Biol. 17(11) (2021) - [j17]Elishai Ezra Tsur
Realistic retinal modeling unravels the differential role of excitation and inhibition to starburst amacrine cells in direction selectivity. PLoS Comput. Biol. 17(12) (2021) - 2020
- [j16]Toviah Moldwin
Perceptron Learning and Classification in a Modeled Cortical Pyramidal Cell. Frontiers Comput. Neurosci. 14: 33 (2020)
2010 – 2019
- 2019
- [c2]Michael Doron, Idan Segev
Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models. KDD 2019: 425-435 - 2017
- [j15]Siwei Wang
Efficient encoding of motion is mediated by gap junctions in the fly visual system. PLoS Comput. Biol. 13(12) (2017) - 2016
- [j14]Werner Van Geit
BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience. Frontiers Neuroinformatics 10: 17 (2016) - 2014
- [j13]Jonathan Laudanski, Benjamin Torben-Nielsen
Spatially Distributed Dendritic Resonance Selectively Filters Synaptic Input. PLoS Comput. Biol. 10(8) (2014) - 2012
- [j12]Irit Nowik, Shmuel Zamir, Idan Segev
Losing the battle but winning the war: game theoretic analysis of the competition between motoneurons innervating a skeletal muscle. Frontiers Comput. Neurosci. 6: 16 (2012) - [j11]Benjamin Torben-Nielsen
The Generation of Phase Differences and Frequency Changes in a Network Model of Inferior Olive Subthreshold Oscillations. PLoS Comput. Biol. 8(7) (2012) - 2011
- [j10]Etay Hay, Sean L. Hill
Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties. PLoS Comput. Biol. 7(7) (2011) - [j9]Shaul Druckmann, Thomas K. Berger, Felix Schürmann, Sean L. Hill
Effective Stimuli for Constructing Reliable Neuron Models. PLoS Comput. Biol. 7(8) (2011)
2000 – 2009
- 2008
- [j8]Shaul Druckmann, Thomas K. Berger, Sean L. Hill
Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data. Biol. Cybern. 99(4-5): 371-379 (2008) - 2006
- [j7]Kamran Diba
Spike propagation in dendrites with stochastic ion channels. J. Comput. Neurosci. 20(1): 77-84 (2006) - 2000
- [j6]Peter N. Steinmetz, Amit Manwani, Christof Koch
Subthreshold Voltage Noise Due to Channel Fluctuations in Active Neuronal Membranes. J. Comput. Neurosci. 9(2): 133-148 (2000)
1990 – 1999
- 1999
- [c1]Elad Schneidman, Idan Segev, Naftali Tishby:
Information Capacity and Robustness of Stochastic Neuron Models. NIPS 1999: 178-184 - 1998
- [j5]Walter Senn
Reading Neuronal Synchrony with Depressing Synapses. Neural Comput. 10(4): 815-819 (1998) - [j4]Elad Schneidman
Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike Timing. Neural Comput. 10(7): 1679-1703 (1998) - 1995
- [j3]Idan Segev
Electrical consequences of spine dimensions in a model of a cortical spiny stellate cell completely reconstructed from serial thin sections. J. Comput. Neurosci. 2(2): 117-130 (1995) - 1994
- [j2]John Rinzel, John P. Miller, James M. Bower, Charles Wilson, Eve Marder
Editorial. J. Comput. Neurosci. 1(1-2): 9-10 (1994) - 1992
- [j1]Moshe Rapp, Yosef Yarom, Idan Segev:
The Impact of Parallel Fiber Background Activity on the Cable Properties of Cerebellar Purkinje Cells. Neural Comput. 4(4): 518-533 (1992)
1980 – 1989
- 1982
- [b1]Idan Segev:
התנהגות פוטנציאלים תת-סיפיים בתא עצב בעל ממברנה אילינארית (The behavior of Subthreshold potentials in a neuron with a nonlinear membrane.; The behavior of subthreshold potentials in a neuron with a nonlinear membrane.). Hebrew University of Jerusalem, Israel, 1982
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