Searching for Biophysically Realistic Parameters for Dynamic Neuron Models by Genetic Algorithms from Calcium Imaging Recording

by   Magdalena Fuchs, et al.

Individual Neurons in the nervous systems exploit various dynamics. To capture these dynamics for single neurons, we tune the parameters of an electrophysiological model of nerve cells, to fit experimental data obtained by calcium imaging. A search for the biophysical parameters of this model is performed by means of a genetic algorithm, where the model neuron is exposed to a predefined input current representing overall inputs from other parts of the nervous system. The algorithm is then constrained for keeping the ion-channel currents within reasonable ranges, while producing the best fit to a calcium imaging time series of the AVA interneuron, from the brain of the soil-worm, C. elegans. Our settings enable us to project a set of biophysical parameters to the the neuron kinetics observed in neuronal imaging.



There are no comments yet.


page 1

page 2

page 3

page 4


Inference of a mesoscopic population model from population spike trains

To understand how rich dynamics emerge in neural populations, we require...

Automatically tracking neurons in a moving and deforming brain

Advances in optical neuroimaging techniques now allow neural activity to...

Rich dynamics caused by known biological brain network features resulting in stateful networks

The mammalian brain could contain dense and sparse network connectivity ...

Giving Up Control: Neurons as Reinforcement Learning Agents

Artificial Intelligence has historically relied on planning, heuristics,...

Fitting Splines to Axonal Arbors Quantifies Relationship between Branch Order and Geometry

Neuromorphology is crucial to identifying neuronal subtypes and understa...

Hidden Markov Modeling for Maximum Likelihood Neuron Reconstruction

Recent advances in brain clearing and imaging have made it possible to i...

A genetic algorithm to discover flexible motifs with support

Finding repeated patterns or motifs in a time series is an important uns...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.