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 (1982)

The Impact of Parallel Fiber Background Activity on the Cable Properties of Cerebellar Purkinje Cells. - Moshe Rapp; Yosef Yarom; Idan Segev (Neural Comput., 1992)

Editorial. - John Rinzel; John P. Miller 001; James M. Bower; Charles Wilson; Eve Marder; Idan Segev (J. Comput. Neurosci., 1994)

Electrical consequences of spine dimensions in a model of a cortical spiny stellate cell completely reconstructed from serial thin sections. - Idan Segev; Alon Friedman; Edward L. White; Michael J. Gutnick (J. Comput. Neurosci., 1995)

Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike Timing. - Elad Schneidman; Barry Freedman; Idan Segev (Neural Comput., 1998)

Reading Neuronal Synchrony with Depressing Synapses. - Walter Senn; Idan Segev; Misha Tsodyks (Neural Comput., 1998)

Information Capacity and Robustness of Stochastic Neuron Models. - Elad Schneidman; Idan Segev; Naftali Tishby (NIPS, 1999)

Subthreshold Voltage Noise Due to Channel Fluctuations in Active Neuronal Membranes. - Peter N. Steinmetz; Amit Manwani; Christof Koch; Michael London; Idan Segev (J. Comput. Neurosci., 2000)

Spike propagation in dendrites with stochastic ion channels. - Kamran Diba; Christof Koch; Idan Segev (J. Comput. Neurosci., 2006)

Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data. - Shaul Druckmann; Thomas K. Berger; Sean L. Hill; Felix Schürmann; Henry Markram; Idan Segev (Biol. Cybern., 2008)

Effective Stimuli for Constructing Reliable Neuron Models. - Shaul Druckmann; Thomas K. Berger; Felix Schürmann; Sean L. Hill; Henry Markram; Idan Segev (PLoS Comput. Biol., 2011)

Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties. - Etay Hay; Sean L. Hill; Felix Schürmann; Henry Markram; Idan Segev (PLoS Comput. Biol., 2011)

Losing the battle but winning the war: game theoretic analysis of the competition between motoneurons innervating a skeletal muscle. - Irit Nowik; Shmuel Zamir; Idan Segev (Frontiers Comput. Neurosci., 2012)

The Generation of Phase Differences and Frequency Changes in a Network Model of Inferior Olive Subthreshold Oscillations. - Benjamin Torben-Nielsen; Idan Segev; Yosef Yarom (PLoS Comput. Biol., 2012)

Spatially Distributed Dendritic Resonance Selectively Filters Synaptic Input. - Jonathan Laudanski; Benjamin Torben-Nielsen; Idan Segev; Shihab Shamma (PLoS Comput. Biol., 2014)

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience. - Werner Van Geit; Michael Gevaert; Giuseppe Chindemi; Christian Rössert; Jean-Denis Courcol; Eilif B. Müller; Felix Schürmann; Idan Segev; Henry Markram (Frontiers Neuroinformatics, 2016)

Efficient encoding of motion is mediated by gap junctions in the fly visual system. - Siwei Wang 003; Alexander Borst; Noga Zaslavsky; Naftali Tishby; Idan Segev (PLoS Comput. Biol., 2017)

Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models. - Michael Doron; Idan Segev; Dafna Shahaf (KDD, 2019)

Perceptron Learning and Classification in a Modeled Cortical Pyramidal Cell. - Toviah Moldwin; Idan Segev (Frontiers Comput. Neurosci., 2020)

Burst control: Synaptic conditions for burst generation in cortical layer 5 pyramidal neurons. - Eilam Goldenberg Leleo; Idan Segev (PLoS Comput. Biol., 2021)

The gradient clusteron: A model neuron that learns to solve classification tasks via dendritic nonlinearities, structural plasticity, and gradient descent. - Toviah Moldwin; Menachem Kalmenson; Idan Segev (PLoS Comput. Biol., 2021)

Realistic retinal modeling unravels the differential role of excitation and inhibition to starburst amacrine cells in direction selectivity. - Elishai Ezra Tsur; Oren Amsalem; Lea Ankri; Pritish Patil; Idan Segev; Michal Rivlin-Etzion (PLoS Comput. Biol., 2021)

Maximally efficient prediction in the early fly visual system may support evasive flight maneuvers. - Siwei Wang 003; Idan Segev; Alexander Borst; Stephanie E. Palmer (PLoS Comput. Biol., 2021)

Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket Cells. - Gilad Shapira; Mira Marcus-Kalish; Oren Amsalem; Werner Van Geit; Idan Segev; David M. Steinberg (Frontiers Big Data, 2022)

The calcitron: A simple neuron model that implements many learning rules via the calcium control hypothesis. - Toviah Moldwin; Li Shay Azran; Idan Segev (PLoS Comput. Biol., 2025)

A generalized mathematical framework for the calcium control hypothesis describes weight-dependent synaptic plasticity. - Toviah Moldwin; Li Shay Azran; Idan Segev (J. Comput. Neurosci., 2025)