Publications by Idan Segev | EPFL Graph Search

Simplification of spiking neural network models

Wulfram Gerstner, Henry Markram, Christian Antonio Pozzorini, James Gonzalo King, Eilif Benjamin Muller, Csaba Erö, Idan Segev, Willem Anna Mark Wybo, Christian Andreas Rössert

The simplification of neural network models is described. For example, a method for simplifying a neural network model includes providing the neural network model to be simplified, defining a first temporal filter for the conveyance of input from a neuron ...

2024

Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket Cells

Idan Segev, Werner Alfons Hilda Van Geit, Oren Amsalem

Many scientific systems are studied using computer codes that simulate the phenomena of interest. Computer simulation enables scientists to study a broad range of possible conditions, generating large quantities of data at a faster rate than the laboratory ...

FRONTIERS MEDIA SA2022

The Role of Hub Neurons in Modulating Cortical Dynamics

Henry Markram, Felix Schürmann, Idan Segev, Eyal Gal, Oren Amsalem, Michael London

Many neurodegenerative diseases are associated with the death of specific neuron types in particular brain regions. What makes the death of specific neuron types particularly harmful for the integrity and dynamics of the respective network is not well unde ...

2021

An efficient analytical reduction of detailed nonlinear neuron models

Felix Schürmann, Idan Segev, Guy Eyal, Michael Emiel Gevaert, Pramod Shivaji Kumbhar, Oren Amsalem

Detailed conductance-based nonlinear neuron models consisting of thousands of synapses are key for understanding of the computational properties of single neurons and large neuronal networks, and for interpreting experimental results. Simulations of these ...

Nature Research2020

Simplification of neural network models

Wulfram Gerstner, Henry Markram, Christian Antonio Pozzorini, James Gonzalo King, Eilif Benjamin Muller, Csaba Erö, Idan Segev, Marc-Oliver Gewaltig, Willem Anna Mark Wybo, Christian Andreas Rössert

The simplification of neural network models is described. For example, a method for simplifying a neural network model includes providing the neural network model to be simplified, defining a first temporal filter for the conveyance of input from a neuron ...

2018

Rich cell-type-specific network topology in neocortical microcircuitry

Henry Markram, Srikanth Ramaswamy, Eilif Benjamin Muller, Idan Segev, Michael Reimann, Eyal Gal, Michael London

Uncovering structural regularities and architectural topologies of cortical circuitry is vital for understanding neural computations. Recently, an experimentally constrained algorithm generated a dense network reconstruction of a similar to 0.3-mm(3) volum ...

Nature Publishing Group2017

Comprehensive Morpho-Electrotonic Analysis Shows 2 Distinct Classes of L2 and L3 Pyramidal Neurons in Human Temporal Cortex

Idan Segev, Guy Antoine Atenekeng Kahou, Lida Kanari, Guy Eyal, Yair Deitcher

There have been few quantitative characterizations of the morphological, biophysical, and cable properties of neurons in the human neocortex. We employed feature-based statistical methods on a rare data set of 60 3D reconstructed pyramidal neurons from L2 ...

2017

Timed Synaptic Inhibition Shapes NMDA Spikes, Influencing Local Dendritic Processing and Global I/O Properties of Cortical Neurons

Henry Markram, Eilif Benjamin Muller, Idan Segev, Giuseppe Chindemi, Michael Doron

The NMDA spike is a long-lasting nonlinear phenomenon initiated locally in the dendritic branches of a variety of cortical neurons. It plays a key role in synaptic plasticity and in single-neuron computations. Combining dynamic system theory and computatio ...

2017

Comments and General Discussion on “The Anatomical Problem Posed by Brain Complexity and Size: A Potential Solution”

Sean Lewis Hill, Idan Segev

This article gathers together different opinions on the current status and future directions of the study of the brain, taking as a working document the article “The anatomical problem posed by brain complexity and size: a potential solution” http://journa ...

Frontiers Research Foundation2016

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Idan Segev, Jean-Denis Georges Emile Courcol, Werner Alfons Hilda Van Geit, Giuseppe Chindemi, Michael Emiel Gevaert

At many scales in neuroscience, appropriate mathematical models take the form of complex dynamical systems. Parametrising such models to conform to the multitude of available experimental constraints is a global nonlinear optimisation problem with a comple ...

Frontiers Research Foundation2016

From Neuron Biophysics to Orientation Selectivity in Electrically Coupled Networks of Neocortical L2/3 Large Basket Cells

Henry Markram, Eilif Benjamin Muller, Idan Segev, Werner Alfons Hilda Van Geit, Oren Amsalem

In the neocortex, inhibitory interneurons of the same subtype are electrically coupled with each other via dendritic gap junctions (GJs). The impact of multiple GJs on the biophysical properties of interneurons and thus on their input processing is unclear ...

Oxford University Press (OUP)2016

Unique membrane properties and enhanced signal processing in human neocortical neurons

Idan Segev

2016

The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex

Selim Arsever, Henry Markram, Raphael Dumusc, Felix Schürmann, James Gonzalo King, Rajnish Ranjan, Srikanth Ramaswamy, Sean Lewis Hill, Juan Bautista Hernando Vieites, Eilif Benjamin Muller, Daniel Keller, Idan Segev, Michael Reimann, John Richard Walker, Martin Telefont, Yun Wang, Ying Shi, Joseph William Graham, Marwan Muhammad Ahmed Abdellah, Julian Charles Shillcock, Jean-Denis Georges Emile Courcol, Ahmet Bilgili, Werner Alfons Hilda Van Geit, Athanassia Chalimourda, Stefan Eilemann, Guy Antoine Atenekeng Kahou, Jeffrey Christopher Muller, Lida Kanari, Stefano Zaninetta, Giuseppe Chindemi, Jafet Villafranca Diaz, Yury Brukau, Michael Emiel Gevaert, Stanislaw Ryszard Adaszewski, Nicolas Antille

We have established a multi-constraint, data-driven process to digitally reconstruct, and simulate prototypical neocortical microcircuitry, using sparse experimental data. We applied this process to reconstruct the microcircuitry of the somatosensory corte ...

2015

Reconstruction and Simulation of Neocortical Microcircuitry

Nenad Buncic, Jean-Vincent Le Bé, Selim Arsever, Henry Markram, Gilad Silberberg, Sébastien Lasserre, Vincent Delattre, Raphael Dumusc, Rodrigo de Campos Perin, Imad Riachi, Thomas Berger, Felix Schürmann, James Gonzalo King, Rajnish Ranjan, Srikanth Ramaswamy, Michael Lee Hines, Sean Lewis Hill, Juan Bautista Hernando Vieites, Georges Khazen, Shruti Muralidhar, Anastasia Ailamaki, Eilif Benjamin Muller, Farhan Tauheed, Jean Pierre Ghobril, Julie Meystre, Daniel Keller, Idan Segev, Michael Reimann, Thomas Heinis, John Richard Walker, Martin Telefont, Yun Wang, Ying Shi, Joseph William Graham, Marwan Muhammad Ahmed Abdellah, Julian Charles Shillcock, Jean-Denis Georges Emile Courcol, Ahmet Bilgili, Werner Alfons Hilda Van Geit, Athanassia Chalimourda, , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Dendritic Excitability and Gain Control in Recurrent Cortical Microcircuits

Idan Segev

Layer 5 thick tufted pyramidal cells (TTCs) in the neocortex are particularly electrically complex, owing to their highly excitable dendrites. The interplay between dendritic nonlinearities and recurrent cortical microcircuit activity in shaping network re ...

2015

A Hierarchical Structure of Cortical Interneuron Electrical Diversity Revealed by Automated Statistical Analysis

Henry Markram, Felix Schürmann, Sean Lewis Hill, Idan Segev

Although the diversity of cortical interneuron electrical properties is well recognized, the number of distinct electrical types (e-types) is still a matter of debate. Recently, descriptions of interneuron variability were standardized by multiple laborato ...

Oxford University Press2013

Preserving axosomatic spiking features despite diverse dendritic morphology

Henry Markram, Felix Schürmann, Idan Segev

Throughout the nervous system, cells belonging to a certain electrical class (e-class)-sharing high similarity in firing response properties-may nevertheless have widely variable dendritic morphologies. To quantify the effect of this morphological variabil ...

American Physiological Society2013

Principles Governing the Operation of Synaptic Inhibition in Dendrites

Idan Segev

Synaptic inhibition plays a key role in shaping the dynamics of neuronal networks and selecting cell assemblies. Typically, an inhibitory axon contacts a particular dendritic subdomain of its target neuron, where it often makes 10–20 synapses, sometimes on ...

2012

Models of neocortical layer 5b pyramidal cells capturing a wide range of dendritic and perisomatic active properties

Henry Markram, Felix Schürmann, Sean Lewis Hill, Idan Segev

The thick-tufted layer 5b pyramidal cell extends its dendritic tree to all six layers of the mammalian neocortex and serves as a major building block for the cortical column. L5b pyramidal cells have been the subject of extensive experimental and modeling ...

2011

Effective Stimuli for Constructing Reliable Neuron Models

Henry Markram, Thomas Berger, Felix Schürmann, Sean Lewis Hill, Idan Segev

The rich dynamical nature of neurons poses major conceptual and technical challenges for unraveling their nonlinear membrane properties. Traditionally, various current waveforms have been injected at the soma to probe neuron dynamics, but the rationale for ...

2011