Idan Segev - researchr alias

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Viewing Publication 1 - 24 from 24

2022

Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket CellsGilad Shapira, Mira Marcus-Kalish, Oren Amsalem, Werner Van Geit, Idan Segev, David M. Steinberg. fdata, 5:789962, 2022. [doi]

2021

2020

Perceptron Learning and Classification in a Modeled Cortical Pyramidal CellToviah Moldwin, Idan Segev. ficn, 14:33, 2020. [doi]

2019

Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box ModelsMichael Doron, Idan Segev, Dafna Shahaf. kdd 2019: 425-435 [doi]

2017

Efficient encoding of motion is mediated by gap junctions in the fly visual systemSiwei Wang, Alexander Borst, Noga Zaslavsky, Naftali Tishby, Idan Segev. ploscb, 13(12), 2017. [doi]

2016

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in NeuroscienceWerner Van Geit, Michael Gevaert, Giuseppe Chindemi, Christian Rössert, Jean-Denis Courcol, Eilif Müller, Felix Schürmann, Idan Segev, Henry Markram. fini, 2016:17, 2016. [doi]

2014

Spatially Distributed Dendritic Resonance Selectively Filters Synaptic InputJonathan Laudanski, Benjamin Torben-Nielsen, Idan Segev, Shihab Shamma. ploscb, 10(8), 2014. [doi]

2012

Losing the battle but winning the war: game theoretic analysis of the competition between motoneurons innervating a skeletal muscleIrit Nowik, Shmuel Zamir, Idan Segev. ficn, 2012:16, 2012. [doi]

The Generation of Phase Differences and Frequency Changes in a Network Model of Inferior Olive Subthreshold OscillationsBenjamin Torben-Nielsen, Idan Segev, Yosef Yarom. ploscb, 8(7), 2012. [doi]

2011

Effective Stimuli for Constructing Reliable Neuron ModelsShaul Druckmann, Thomas K. Berger, Felix Schürmann, Sean Hill, Henry Markram, Idan Segev. ploscb, 7(8), 2011. [doi]

Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active PropertiesEtay Hay, Sean Hill, Felix Schürmann, Henry Markram, Idan Segev. ploscb, 7(7), 2011. [doi]

2008

Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate dataShaul Druckmann, Thomas K. Berger, Sean Hill, Felix Schürmann, Henry Markram, Idan Segev. bc, 99(4-5):371-379, 2008. [doi]

2006

Spike propagation in dendrites with stochastic ion channelsKamran Diba, Christof Koch, Idan Segev. jcns, 20(1):77-84, 2006. [doi]

2000

Subthreshold Voltage Noise Due to Channel Fluctuations in Active Neuronal MembranesPeter N. Steinmetz, Amit Manwani, Christof Koch, Michael London, Idan Segev. jcns, 9(2):133-148, 2000.

1999

Information Capacity and Robustness of Stochastic Neuron ModelsElad Schneidman, Idan Segev, Naftali Tishby. nips 2000: 178-184 [doi]

1998

Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike TimingElad Schneidman, Barry Freedman, Idan Segev. neco, 10(7):1679-1703, 1998.

Reading Neuronal Synchrony with Depressing SynapsesWalter Senn, Idan Segev, Misha Tsodyks. neco, 10(4):815-819, 1998.

1995

Electrical consequences of spine dimensions in a model of a cortical spiny stellate cell completely reconstructed from serial thin sectionsIdan Segev, Alon Friedman, Edward L. White, Michael J. Gutnick. jcns, 2(2):117-130, 1995. [doi]

1994

EditorialJohn Rinzel, John P. Miller, James M. Bower, Charles Wilson, Eve Marder, Idan Segev. jcns, 1(1-2):9-10, 1994. [doi]

1992

The Impact of Parallel Fiber Background Activity on the Cable Properties of Cerebellar Purkinje CellsMoshe Rapp, Yosef Yarom, Idan Segev. neco, 4(4):518-533, 1992. [doi]

1982

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.)Idan Segev. PhD thesis, Hebrew University of Jerusalem, Israel, 1982. [doi]

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