Idan Segev

发表

An efficient analytical reduction of detailed nonlinear neuron models

Noa Rogozinski, Felix Schürmann, Oren Amsalem, 2020, Nature Communications.

The gradient clusteron: A model neuron that learns to solve classification tasks via dendritic nonlinearities, structural plasticity, and gradient descent

Idan Segev, Toviah Moldwin, Menachem Kalmenson, 2020, bioRxiv.

Dense Computer Replica of Cortical Microcircuits Unravels Cellular Underpinnings of Auditory Surprise Response

Michael W. Reimann, Oren Amsalem, Idan Segev, 2020, bioRxiv.

Single cortical neurons as deep artificial neural networks

Idan Segev, Michael London, David Beniaguev, 2019, Neuron.

Neuron Geometry Underlies Universal Network Features in Cortical Microcircuits

Idan Segev, Michael London, Rodrigo Perin, 2019, bioRxiv.

Perceptron Learning and Classification in a Modeled Cortical Pyramidal Cell

Idan Segev, Toviah Moldwin, 2020, Frontiers in Computational Neuroscience.

Maximally efficient prediction in the early fly visual system may support evasive flight maneuvers

Idan Segev, Siwei Wang, Alexander Borst, 2019, bioRxiv.

Author response: Using subthreshold events to characterize the functional architecture of the electrically coupled inferior olive network

Oren Amsalem, Idan Segev, Yosef Yarom, 2019 .

Single cortical neurons as deep artificial neural networks

Idan Segev, Michael London, David Beniaguev, 2021, Neuron.

Realistic retinal modeling unravels the differential role of excitation and inhibition to starburst amacrine cells in direction selectivity

Oren Amsalem, Idan Segev, Michal Rivlin-Etzion, 2021, PLoS Comput. Biol..

Whole-Neuron Synaptic Mapping Reveals Spatially Precise Excitatory/Inhibitory Balance Limiting Dendritic and Somatic Spiking

Hanchuan Peng, Idan Segev, Uygar Sümbül, 2020, Neuron.