Português: Visualização 3D do modelo de Galves-Löcherbach com 4000 neurônios (4 camadas com uma população de neurônios inibitórios e uma população de neurônios excitatórios cada) em 180 intervalos de tempo.
English: 3D visualization of the Galves-Löcherbach model for 4000 neurons (4 layers with one population of inhibitory neurons and one population of excitatory neurons each) at 180 intervals of time.
Polski: Trójwymiarowa wizualizacja modelu Galvesa-Löcherbacha dla 4000 neuronów trwająca 180 jednostek czasu.
Čeština: Třírozmězná vizualizace Galves-Löcherbachova modelu neurologické sítě pro celkem 4000
neuronů (4 vrstvy s různými typy neuronů) celkově ve 180 různých časových intervalech.
Македонски: 3Д-претстава на
Галвес-Лехербахов модел на 4000
неврони (4 слоја со едно население на сопирачки неврони и едно население дразбени неврони во секој од нив) при 180 интервали.
Versão em resolução maior, com 1000 intervalos de tempo, mas sem autoexecução.
High resolution version with 1000 intervals of time, but without the autoplay.
Assessment
This file was selected as the media of the day for 23 November 2016. It was captioned as follows:
English: 3D visualization of the
Galves-Löcherbach model for 4000 neurons (4 layers with one population of inhibitory neurons and one population of excitatory neurons each) at 180 intervals of time.
Other languages
Čeština: Třírozmězná vizualizace Galves-Löcherbachova modelu neurologické sítě pro celkem 4000
neuronů (4 vrstvy s různými typy neuronů) celkově ve 180 různých časových intervalech.
English: 3D visualization of the
Galves-Löcherbach model for 4000 neurons (4 layers with one population of inhibitory neurons and one population of excitatory neurons each) at 180 intervals of time.
Македонски: 3Д-претстава на
Галвес-Лехербахов модел на 4000
неврони (4 слоја со едно население на сопирачки неврони и едно население дразбени неврони во секој од нив) при 180 интервали.
Polski: Trójwymiarowa wizualizacja modelu Galvesa-Löcherbacha dla 4000 neuronów trwająca 180 jednostek czasu.
Português: Visualização 3D do
Modelo Galves-Löcherbach com 4000 neurônios (4 camadas com uma população de neurônios inibitórios e uma população de neurônios excitatórios cada) em 180 intervalos de tempo.
Licensing
This media was produced by NeuroMat and was licensed as
Creative Commons BY-SA 4.0. The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) is a Brazilian research center hosted by the University of São Paulo and funded by the São Paulo Research Foundation (FAPESP).
Attribution in English: RIDC NeuroMat Attribution in Portuguese: CEPID NeuroMat
to share – to copy, distribute and transmit the work
to remix – to adapt the work
Under the following conditions:
attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the
same or compatible license as the original.
Português: Visualização 3D do modelo de Galves-Löcherbach com 4000 neurônios (4 camadas com uma população de neurônios inibitórios e uma população de neurônios excitatórios cada) em 180 intervalos de tempo.
English: 3D visualization of the Galves-Löcherbach model for 4000 neurons (4 layers with one population of inhibitory neurons and one population of excitatory neurons each) at 180 intervals of time.
Polski: Trójwymiarowa wizualizacja modelu Galvesa-Löcherbacha dla 4000 neuronów trwająca 180 jednostek czasu.
Čeština: Třírozmězná vizualizace Galves-Löcherbachova modelu neurologické sítě pro celkem 4000
neuronů (4 vrstvy s různými typy neuronů) celkově ve 180 různých časových intervalech.
Македонски: 3Д-претстава на
Галвес-Лехербахов модел на 4000
неврони (4 слоја со едно население на сопирачки неврони и едно население дразбени неврони во секој од нив) при 180 интервали.
Versão em resolução maior, com 1000 intervalos de tempo, mas sem autoexecução.
High resolution version with 1000 intervals of time, but without the autoplay.
Assessment
This file was selected as the media of the day for 23 November 2016. It was captioned as follows:
English: 3D visualization of the
Galves-Löcherbach model for 4000 neurons (4 layers with one population of inhibitory neurons and one population of excitatory neurons each) at 180 intervals of time.
Other languages
Čeština: Třírozmězná vizualizace Galves-Löcherbachova modelu neurologické sítě pro celkem 4000
neuronů (4 vrstvy s různými typy neuronů) celkově ve 180 různých časových intervalech.
English: 3D visualization of the
Galves-Löcherbach model for 4000 neurons (4 layers with one population of inhibitory neurons and one population of excitatory neurons each) at 180 intervals of time.
Македонски: 3Д-претстава на
Галвес-Лехербахов модел на 4000
неврони (4 слоја со едно население на сопирачки неврони и едно население дразбени неврони во секој од нив) при 180 интервали.
Polski: Trójwymiarowa wizualizacja modelu Galvesa-Löcherbacha dla 4000 neuronów trwająca 180 jednostek czasu.
Português: Visualização 3D do
Modelo Galves-Löcherbach com 4000 neurônios (4 camadas com uma população de neurônios inibitórios e uma população de neurônios excitatórios cada) em 180 intervalos de tempo.
Licensing
This media was produced by NeuroMat and was licensed as
Creative Commons BY-SA 4.0. The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) is a Brazilian research center hosted by the University of São Paulo and funded by the São Paulo Research Foundation (FAPESP).
Attribution in English: RIDC NeuroMat Attribution in Portuguese: CEPID NeuroMat
to share – to copy, distribute and transmit the work
to remix – to adapt the work
Under the following conditions:
attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the
same or compatible license as the original.