FNS spiking neural simulator; LIFL neuron model, event-driven simulation (Susi et al 2021)

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Accession:267647
FNS is an event-driven Spiking Neural Network simulator, oriented to data-driven simulations. FNS combines spiking/synaptic level description with the event-driven approach, allowing the user to define heterogeneous modules and multi-scale connectivity with delayed connections and plastic synapses, providing fast simulations at the same time. A novel parallelization strategy is also implemented in order to further speed up simulations. FNS is based on the Leaky-Integrate and Fire with Latency (LIFL) spiking neuron model, that combines some realistic neurocomputational features to low computational complexity. FNS is written in Java, distributed as open source and protected by the GPL license.
Reference:
1 . Susi G, Garces P, Paracone E, Cristini A, Salerno M, Maestu F, Pereda E (2021) FNS allows efficient event-driven spiking neural network simulations based on a neuron model supporting spike latency Sci Rep . [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Synapse; Realistic Network; Spiking neural network; Neuron or other electrically excitable cell;
Brain Region(s)/Organism: Human;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: Java; FNS Neural Simulator;
Model Concept(s): Connectivity matrix; Brain Rhythms; Action Potentials; STDP;
Implementer(s):
![FNS logo](https://github.com/fnsneuralsimulator/FNS-scripts_and_tools/blob/master/FNSlogo.png?raw=true "FNS logo") FNS neural simulator
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FNS is an event-driven Spiking Neural Network framework, oriented to 
data-driven brain simulations. FNS combines spiking/synaptic level 
description with the event-driven approach, allowing the user to define 
heterogeneous modules and multi-scale connectivity with delayed connections 
and plastic synapses, providing fast simulations at the same time.
FNS is written in JAVA.
It comes with the GPLv3 (please see LICENSE).

* **Official website** [here](http://www.fnsneuralsimulator.org)
* **User guide** [here](https://docs.google.com/document/d/1TJ5vWIBHW81IaySHM5b81JeZehEwZXo8hFj2SIrKnKY/export?format=pdf) (please wait a moment after the click)
* **For questions and support**: fnsneuralsimulator@gmail.com


Please cite FNS
------------

When using FNS, please cite us as follows:

Gianluca Susi, Pilar Garcés, Emanuele Paracone, Alessandro Cristini, Mario 
Salerno, Fernando Maestú, Ernesto Pereda (2021). "FNS allows efficient 
event-driven spiking neural network simulations based on a neuron model 
supporting spike latency. Scientific reports, 11(1), 12160.
Laboratory of Cognitive and Computational Neuroscience, UPM-UCM Centre for 
Biomedical Technology, Complutense and Technical University of Madrid; 
University of Rome "Tor Vergata".   


Run using Docker
------------

To run FNS with [Docker](https://docs.docker.com/install/), you can use the public Docker Hub image. 

Please navigate the terminal until the FNS folder (where you placed the `[SIMULATION_FOLDER]` ) and type the following command (consider the prefix `sudo` for linux privileges):

`docker run --rm -v $(pwd)/[SIMULATION_FOLDER]:/usr/local/fns/[SIMULATION_FOLDER] -it -e JAVA_OPTS="" --name fns fnsneuralsimulator/fns-simulator:latest fns [SIMULATION_FOLDER/EXPERIMENT][SWITCHES]`

* replace `-it` with `-d` if you prefer to detach and run FNS in the background;
* specify the field `JAVA_OPTS` in case you need to modify the heap size.

where `[SIMULATION_FOLDER]` is the folder which contains the simulation packages, `[EXPERIMENT]` is the package which contains the set of configuration files for a single simulation, and `.m2` is the directory for your maven repositories. 

To make sure you are using the latest version of Docker, type:

`docker pull fnsneuralsimulator/fns-simulator:latest`

Please refer to the [user guide](https://docs.google.com/document/d/1TJ5vWIBHW81IaySHM5b81JeZehEwZXo8hFj2SIrKnKY/export?format=pdf) for additional information.

License & Copyright (Version 3.x)
-------------------

(c) 2020, Gianluca Susi, Emanuele Paracone, Mario Salerno, 
 Alessandro Cristini, Fernando Maestú.

FNS is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

FNS is distributed in the hope that it will be useful, but WITHOUT ANY 
WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR 
A PARTICULAR PURPOSE. See the GNU General Public License for more details.
 
You should have received a copy of the GNU General Public License along with 
FNS. If not, see <http://www.gnu.org/licenses/>.