Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Colorful image reconstruction from neuromorphic event cameras with biologically inspired deep color fusion neural networks.

Bioinspiration & biomimetics·2024
Same author

Spatial and Temporal Mapping of Breast Cancer Lung Metastases Identify TREM2 Macrophages as Regulators of the Metastatic Boundary.

Cancer discovery·2023
Same author

Computational modeling of color perception with biologically plausible spiking neural networks.

PLoS computational biology·2022
Same author

Realistic retinal modeling unravels the differential role of excitation and inhibition to starburst amacrine cells in direction selectivity.

PLoS computational biology·2021
Same author

LiDAR-driven spiking neural network for collision avoidance in autonomous driving.

Bioinspiration & biomimetics·2021
Same author

Artificial immune system features added to breast cancer clinical data for machine learning (ML) applications.

Bio Systems·2021

Related Experiment Video

Updated: Dec 17, 2025

Author Spotlight: Using the Split Retina Technique for Enhanced Access and Accelerated Experiments
07:53

Author Spotlight: Using the Split Retina Technique for Enhanced Access and Accelerated Experiments

Published on: January 16, 2024

5.3K

NeuroConstruct-based implementation of structured-light stimulated retinal circuitry.

Miriam Elbaz1, Rachel Buterman1, Elishai Ezra Tsur2,3

  • 1Jerusalem College of Technology, Jerusalem, Israel.

BMC Neuroscience
|June 26, 2020
PubMed
Summary
This summary is machine-generated.

Neuroscience researchers can now simulate complex retinal circuits with enhanced NeuroConstruct software. This tool aids in understanding visual processing, like direction selectivity, by modeling starburst amacrine cells.

Keywords:
Computational neuroscienceNeuroMLNeuronNeuronal modeling

More Related Videos

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

2.1K
Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro
12:56

Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro

Published on: December 19, 2017

8.1K

Related Experiment Videos

Last Updated: Dec 17, 2025

Author Spotlight: Using the Split Retina Technique for Enhanced Access and Accelerated Experiments
07:53

Author Spotlight: Using the Split Retina Technique for Enhanced Access and Accelerated Experiments

Published on: January 16, 2024

5.3K
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

2.1K
Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro
12:56

Methodology for Biomimetic Chemical Neuromodulation of Rat Retinas with the Neurotransmitter Glutamate In Vitro

Published on: December 19, 2017

8.1K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Visual Neuroscience

Background:

  • Retinal circuitry is key to understanding neural networks and visual phenomena.
  • Neuronal modeling is crucial for retinal research, balancing biological accuracy with model usability.
  • NeuroConstruct is a 3D modeling framework for neural network creation and analysis.

Purpose of the Study:

  • Extend NeuroConstruct for advanced retinal modeling.
  • Incorporate structured visual stimuli and dynamic synaptic properties.
  • Enable rule-based connectivity for complex neural simulations.

Main Methods:

  • Enhanced NeuroConstruct with new features for visual stimuli and synaptic dynamics.
  • Simulated a dense network of starburst amacrine cells with detailed morphology.
  • Connected amacrine cells to a ganglion cell for stimulation experiments.

Main Results:

  • Successfully simulated biologically realistic starburst amacrine cell networks.
  • Demonstrated the framework's capability with expanding and collapsing light stimuli.
  • Showcased rule-based connectivity and heterogeneous synapse distribution.

Conclusions:

  • The enhanced NeuroConstruct framework is a powerful tool for retinal computation research.
  • Facilitates investigation into mechanisms like direction selectivity.
  • Highlights the framework's adaptability for advanced neuro-modeling.