ModelDB: Models that contain neurolib

Simulation Environment: neurolib

Note: this list includes both models hosted here at ModelDB and models where have metadata and link to the sourcecode somewhere else. These may also be viewed separately; see the browse by simulator page.

Mean-field models of neural populations under electrical stimulation (Cakan & Obermayer 2020)

https://github.com/neurolib-dev/neurolib
neurolib allows you to build, simulate, and optimize your own state-of-the-art whole-brain models. To simulate the neural activity of each brain area, the main implementation provides an advanced neural mass mean-field model of spiking adaptive exponential integrate-and-fire neurons (AdEx) called aln. Each brain area is represented by two populations of excitatory and inhibitory neurons. ...

Top authors for neurolib:

Cakan C (1)
Obermayer K (1)

Top concepts studied with neurolib:

Oscillations (1)
Activity Patterns (1)
Bifurcation (1)

Top neurons studied with neurolib:

Abstract integrate-and-fire leaky neuron (1)
Abstract integrate-and-fire adaptive exponential (AdEx) neuron (1)

Top references cited by these models:

Lynch EP, Houghton CJ. (2015). Parameter estimation of neuron models using in-vitro and in-vivo electrophysiological data. Frontiers in neuroinformatics. 9 (1)
Reato D, Rahman A, Bikson M, Parra LC. (2010). Low-intensity electrical stimulation affects network dynamics by modulating population rate and spike timing. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 (1)
Fröhlich F. (2015). Experiments and models of cortical oscillations as a target for noninvasive brain stimulation. Progress in brain research. 222 (1)
Berényi A, Belluscio M, Mao D, Buzsáki G. (2012). Closed-loop control of epilepsy by transcranial electrical stimulation. Science (New York, N.Y.). 337 (1)
Marshall L, Helgadóttir H, Mölle M, Born J. (2006). Boosting slow oscillations during sleep potentiates memory. Nature. 444 (1)