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Different responses of mice and rats hippocampus CA1 pyramidal neurons to in vitro and in vivo-like inputs

Related publications (42)

Principles of Network Plasticity in Neocortical Microcircuits

Synaptic plasticity underlies our ability to learn and adapt to the constantly changing environment. The phenomenon of synapses changing their efficacy in an activity-dependent manner is often studied in small groups of neurons in vitro or indirectly throu ...

EPFL2023

Long-term plasticity induces sparse and specific synaptic changes in a biophysically detailed cortical model

Eilif Benjamin Muller, Michael Reimann, James Gonzalo King, Marwan Muhammad Ahmed Abdellah, Pramod Shivaji Kumbhar, András Ecker, Sirio Bolaños Puchet, James Bryden Isbister, Daniela Egas Santander, Jorge Blanco Alonso, Giuseppe Chindemi, Ioannis Magkanaris

Synaptic plasticity underlies the brain’s ability to learn and adapt. This process is often studied in small groups of neurons in vitro or indirectly through its effects on behavior in vivo. Due to the limitations of available experimental techniques, inve ...

2023

Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation

Matthias Wolf, Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Srikanth Ramaswamy, Michael Reimann, Daniel Keller, Werner Alfons Hilda Van Geit, James Gonzalo King, Pramod Shivaji Kumbhar, Alexis Arnaudon, Jean-Denis Georges Emile Courcol, Rajnish Ranjan, Armando Romani, András Ecker, Michael Emiel Gevaert, Vishal Sood, Sirio Bolaños Puchet, James Bryden Isbister, Judit Planas Carbonell, Daniela Egas Santander, Maria Reva, Genrich Ivaska, Natali Barros Zulaica, Mustafa Anil Tuncel, Christoph Pokorny, Elvis Boci, Jorge Blanco Alonso, Aleksandra Zuzanna Teska, Darshan Mandge, Polina Litvak, Gianluca Ficarelli, Weina Ji, Giuseppe Chindemi, Christian Andreas Rössert, Omar Awile, Joni Henrikki Herttuainen, Samuel Lieven D. Lapere, Thomas Brice Delemontex, Tanguy Pierre Louis Damart, Alexander Dietz

In recent years, large-scale computational models of the cortex have emerged as a powerful way to study the multi-scale mechanisms of neural processing. However, due to computational costs and difficulty of parameterization, detailed biophysical reconstruc ...

2023

Different priming states of synaptic vesicles underlie distinct release probabilities at hippocampal excitatory synapses

Maria Reva

A stunning example of synaptic diversity is the postsynaptic target cell-type-dependent difference in synap-tic efficacy in cortical networks. Here, we show that CA1 pyramidal cell (PC) to fast spiking interneuron (FSIN) connections have 10-fold larger rel ...

CELL PRESS2022

HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data

Eilif Benjamin Muller, Werner Alfons Hilda Van Geit, Armando Romani, Szabolcs Kali, Carmen Alina Lupascu, Rosanna Migliore, Luca Leonardo Bologna, Sàra Sàray, Shailesh Appukuttan

Anatomically and biophysically detailed data-driven neuronal models have become widely used tools for understanding and predicting the behavior and function of neurons. Due to the increasing availability of experimental data from anatomical and electrophys ...

PUBLIC LIBRARY SCIENCE2021

Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity

Wulfram Gerstner, Tilo Schwalger, Valentin Marc Schmutz

Coarse-graining microscopic models of biological neural networks to obtain mesoscopic models of neural activities is an essential step towards multi-scale models of the brain. Here, we extend a recent theory for mesoscopic population dynamics with static s ...

2020

Human Cortical Pyramidal Neurons: From Spines to Spikes via Models

Idan Segev, Ruth Benavides Piccione, Guy Eyal, Yair Deitcher

We present detailed models of pyramidal cells from human neocortex, including models on their excitatory synapses, dendritic spines, dendritic NMDA- and somatic/axonal Na(+) spikes that provided new insights into signal processing and computational capabil ...

2018

Data-Driven Modeling of Cholinergic Modulation of Neural Microcircuits: Bridging Neurons, Synapses and Network Activity

Henry Markram, Srikanth Ramaswamy, Cristina Colangelo

Neuromodulators, such as acetylcholine (ACh), control information processing in neural microcircuits by regulating neuronal and synaptic physiology. Computational models and simulations enable predictions on the potential role of ACh in reconfiguring netwo ...

2018

The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow

Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Werner Alfons Hilda Van Geit, Ying Shi, Jean-Denis Georges Emile Courcol, Armando Romani, Michele Migliore, Maurizio Ferdinando Pezzoli, Szabolcs Kali, Carmen Alina Lupascu, Christian Andreas Rössert, Olivier Richard Hagens, Rosanna Migliore, Luca Leonardo Bologna, Audrey Mercer, Stefano Maximiliano Antonel

Every neuron is part of a network, exerting its function by transforming multiple spatiotemporal synaptic input patterns into a single spiking output. This function is specified by the particular shape and passive electrical properties of the neuronal memb ...

PUBLIC LIBRARY SCIENCE2018

Identification of the Goliath beetles Fornasinius fornasini Bertoloni and Fornasinius hauseri Kraatz (Scarabaeidae: Cetoniinae)

Michele De Palma

The Goliath beetles (subtribe Goliathina) are large Cetoniinae comprising a few highly related genera broadly distributed in sub-Saharan Africa. The genus Fornasinius Bertoloni was established in 1853 by Giuseppe Bertoloni to receive a taxon that was suffi ...

2018

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