[HTML][HTML] Multi-class oscillating systems of interacting neurons

S Ditlevsen, E Löcherbach - Stochastic Processes and their Applications, 2017 - Elsevier
We consider multi-class systems of interacting nonlinear Hawkes processes modeling
several large families of neurons and study their mean field limits. As the total number of …

When networks walk a fine line: balance of excitation and inhibition in spinal motor circuits

RW Berg, A Willumsen, H Lindén - Current Opinion in Physiology, 2019 - Elsevier
Highlights•Balanced networks are widespread in the brain, yet their role in the spinal cord is
unclear.•Respiratory and lumbar circuits show signs of balanced activity.•Network motifs are …

Lognormal firing rate distribution reveals prominent fluctuation–driven regime in spinal motor networks

PC Petersen, RW Berg - elife, 2016 - elifesciences.org
When spinal circuits generate rhythmic movements it is important that the neuronal activity
remains within stable bounds to avoid saturation and to preserve responsiveness. Here, we …

Hypoelliptic diffusions: filtering and inference from complete and partial observations

S Ditlevsen, A Samson - Journal of the Royal Statistical Society …, 2019 - academic.oup.com
The statistical problem of parameter estimation in partially observed hypoelliptic diffusion
processes is naturally occurring in many applications. However, because of the noise …

Stochastic optimal control of single neuron spike trains

A Iolov, S Ditlevsen, A Longtin - Journal of neural engineering, 2014 - iopscience.iop.org
Objective. External control of spike times in single neurons can reveal important information
about a neuron's sub-threshold dynamics that lead to spiking, and has the potential to …

Premotor spinal network with balanced excitation and inhibition during motor patterns has high resilience to structural division

PC Petersen, M Vestergaard, KHR Jensen… - Journal of …, 2014 - Soc Neuroscience
Direct measurements of synaptic inhibition (I) and excitation (E) to spinal motoneurons can
provide an important insight into the organization of premotor networks. Such measurements …

Estimation in the partially observed stochastic Morris–Lecar neuronal model with particle filter and stochastic approximation methods

S Ditlevsen, A Samson - 2014 - projecteuclid.org
Parameter estimation in multidimensional diffusion models with only one coordinate
observed is highly relevant in many biological applications, but a statistically difficult …

Neuronal network inference and membrane potential model using multivariate Hawkes processes

A Bonnet, C Dion-Blanc, F Gindraud… - Journal of Neuroscience …, 2022 - Elsevier
Background In this work, we propose to catch the complexity of the membrane potential's
dynamic of a motoneuron between its spikes, taking into account the spikes from other …

Spontaneous slow wave oscillations in extracellular field potential recordings reflect the alternating dominance of excitation and inhibition

Y Zheng, S Kang, J O'Neill, I Bojak - The Journal of Physiology, 2024 - Wiley Online Library
In the resting state, cortical neurons can fire action potentials spontaneously but
synchronously (Up state), followed by a quiescent period (Down state) before the cycle …

Estimation of excitatory and inhibitory synaptic conductance variations in motoneurons during locomotor-like rhythmic activity

R Kobayashi, H Nishimaru, H Nishijo - Neuroscience, 2016 - Elsevier
The rhythmic activity of motoneurons (MNs) that underlies locomotion in mammals is
generated by synaptic inputs from the locomotor network in the spinal cord. Thus, the …