[HTML][HTML] Biological emergent properties in non-spiking neural networks
L Naudin - AIMS Mathematics, 2022 - aimspress.com
A central goal of neuroscience is to understand the way nervous systems work to produce
behavior. Experimental measurements in freely moving animals (eg in the C. elegans worm) …
behavior. Experimental measurements in freely moving animals (eg in the C. elegans worm) …
Towards principles of brain network organization and function
S Kulkarni, DS Bassett - arXiv preprint arXiv:2408.02640, 2024 - arxiv.org
The brain is immensely complex, with diverse components and dynamic interactions
building upon one another to orchestrate a wide range of functions and behaviors …
building upon one another to orchestrate a wide range of functions and behaviors …
ElectroPhysiomeGAN: Generation of Biophysical Neuron Model Parameters from Recorded Electrophysiological Responses
Recent advances in connectomics, biophysics, and neuronal electrophysiology warrant
modeling of neurons with further details in both network interaction and cellular dynamics …
modeling of neurons with further details in both network interaction and cellular dynamics …
An a priori study for the reconstruction of some variables of interest in nonlinear complex networks with an application in neuroscience
S Orange, N Verdière, L Naudin - Chaos, Solitons & Fractals, 2023 - Elsevier
Many real-life problems can be modeled as a complex network made up of nodes whose
dynamics are governed by nonlinear differential equations. State reconstruction of such …
dynamics are governed by nonlinear differential equations. State reconstruction of such …
A general pattern of non-spiking neuron dynamics under the effect of potassium and calcium channel modifications
L Naudin, L Raison-Aubry, L Buhry - Journal of Computational …, 2023 - Springer
Electrical activity of excitable cells results from ion exchanges through cell membranes, so
that genetic or epigenetic changes in genes encoding ion channels are likely to affect …
that genetic or epigenetic changes in genes encoding ion channels are likely to affect …
Conductance-Based Phenomenological Nonspiking Model: A Dimensionless and Simple Model That Reliably Predicts the Effects of Conductance Variations on …
L Naudin, L Raison-Aubry, L Buhry - Neural Computation, 2023 - direct.mit.edu
The modeling of single neurons has proven to be an indispensable tool in deciphering the
mechanisms underlying neural dynamics and signal processing. In that sense, two types of …
mechanisms underlying neural dynamics and signal processing. In that sense, two types of …
Target observability of nonlinear complex networks with linear and nonlinear couplings
S Orange, N Verdière, L Naudin - 2023 - hal.science
Many real-life systems can be modeled as a complex network made up of nodes whose
dynamics are governed by nonlinear differential equations. Observability on such networks …
dynamics are governed by nonlinear differential equations. Observability on such networks …