Neuromodulation of neuronal circuits: back to the future

E Marder - Neuron, 2012 - cell.com
All nervous systems are subject to neuromodulation. Neuromodulators can be delivered as
local hormones, as cotransmitters in projection neurons, and through the general circulation …

Variability, compensation and homeostasis in neuron and network function

E Marder, JM Goaillard - Nature Reviews Neuroscience, 2006 - nature.com
Neurons in most animals live a very long time relative to the half-lives of all of the proteins
that govern excitability and synaptic transmission. Consequently, homeostatic mechanisms …

Training deep neural density estimators to identify mechanistic models of neural dynamics

PJ Gonçalves, JM Lueckmann, M Deistler… - Elife, 2020 - elifesciences.org
Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of
underlying causes. However, determining which model parameters agree with complex and …

Flexible statistical inference for mechanistic models of neural dynamics

JM Lueckmann, PJ Goncalves… - Advances in neural …, 2017 - proceedings.neurips.cc
Mechanistic models of single-neuron dynamics have been extensively studied in
computational neuroscience. However, identifying which models can quantitatively …

Adaptive exponential integrate-and-fire model as an effective description of neuronal activity

R Brette, W Gerstner - Journal of neurophysiology, 2005 - journals.physiology.org
We introduce a two-dimensional integrate-and-fire model that combines an exponential
spike mechanism with an adaptation equation, based on recent theoretical findings. We …

Truncated proposals for scalable and hassle-free simulation-based inference

M Deistler, PJ Goncalves… - Advances in Neural …, 2022 - proceedings.neurips.cc
Simulation-based inference (SBI) solves statistical inverse problems by repeatedly running a
stochastic simulator and inferring posterior distributions from model-simulations. To improve …

Similar network activity from disparate circuit parameters

AA Prinz, D Bucher, E Marder - Nature neuroscience, 2004 - nature.com
It is often assumed that cellular and synaptic properties need to be regulated to specific
values to allow a neuronal network to function properly. To determine how tightly neuronal …

Generalized leaky integrate-and-fire models classify multiple neuron types

C Teeter, R Iyer, V Menon, N Gouwens, D Feng… - Nature …, 2018 - nature.com
There is a high diversity of neuronal types in the mammalian neocortex. To facilitate
construction of system models with multiple cell types, we generate a database of point …

Neuromodulation of neurons and synapses

F Nadim, D Bucher - Current opinion in neurobiology, 2014 - Elsevier
Highlights•Modulation of synaptic strength can occur through changes in short-term
plasticity.•Modulators can shape or induce long-term synaptic plasticity.•Modulators can …

Multiple models to capture the variability in biological neurons and networks

E Marder, AL Taylor - Nature neuroscience, 2011 - nature.com
How tightly tuned are the synaptic and intrinsic properties that give rise to neuron and circuit
function? Experimental work shows that these properties vary considerably across identified …