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

Neural Circuits01:25

Neural Circuits

3.0K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
3.0K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.2K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.2K

You might also read

Related Articles

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

Sort by
Same author

Emotions and music through an innovative project during compulsory secondary education.

Heliyon·2024
Same author

Bus Travel Time Prediction Model Based on Profile Similarity.

Sensors (Basel, Switzerland)·2019
Same author

Study on an Indoor Positioning System for Harsh Environments Based on Wi-Fi and Bluetooth Low Energy.

Sensors (Basel, Switzerland)·2017
Same author

A Character Segmentation Proposal for High-Speed Visual Monitoring of Expiration Codes on Beverage Cans.

Sensors (Basel, Switzerland)·2016
Same author

Remarks on neurocybernetics and its links to computing science. To the memory of Prof. Luigi M. Ricciardi.

Bio Systems·2013
Same author

On the legacy of W.S. McCulloch.

Bio Systems·2006
Same journal

Modeling the impact of budget limitation on the screening and treatment pathway of HPV-induced precancerous cervical lesions.

Mathematical biosciences and engineering : MBE·2026
Same journal

Modeling the effects of trait-mediated dispersal on coexistence of two species: Competition and non-consumptive predator-prey.

Mathematical biosciences and engineering : MBE·2026
Same journal

A close look at the viral reduction rate in target cell limited models.

Mathematical biosciences and engineering : MBE·2026
Same journal

A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies.

Mathematical biosciences and engineering : MBE·2026
Same journal

Addressing domain shift via imbalance-aware domain adaptation in embryo development assessment.

Mathematical biosciences and engineering : MBE·2026
Same journal

Effect of drug resistance on an HIV epidemic in heterogeneous populations.

Mathematical biosciences and engineering : MBE·2026
See all related articles

Related Experiment Video

Updated: May 5, 2026

Examining Local Network Processing using Multi-contact Laminar Electrode Recording
13:40

Examining Local Network Processing using Multi-contact Laminar Electrode Recording

Published on: September 8, 2011

12.2K

Distributed, layered and reliable computing nets to represent neuronal receptive fields.

Arminda Moreno-Diaz1, Gabriel de Blasio, Roberto Moreno-Diaz

  • 1Facultad de Informatica, Universidad Politecnica de Madrid (UPM), Spain. amoreno@fi.upm.es.

Mathematical Biosciences and Engineering : MBE
|November 20, 2013
PubMed
Summary
This summary is machine-generated.

Researchers developed novel filters to model computations in retinal cells, enhancing our understanding of neural processing. These filters aid in analyzing neuron-like structures and the impact of lesions on neural network performance.

More Related Videos

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.3K
A Computer-assisted Multi-electrode Patch-clamp System
11:01

A Computer-assisted Multi-electrode Patch-clamp System

Published on: October 18, 2013

13.5K

Related Experiment Videos

Last Updated: May 5, 2026

Examining Local Network Processing using Multi-contact Laminar Electrode Recording
13:40

Examining Local Network Processing using Multi-contact Laminar Electrode Recording

Published on: September 8, 2011

12.2K
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.3K
A Computer-assisted Multi-electrode Patch-clamp System
11:01

A Computer-assisted Multi-electrode Patch-clamp System

Published on: October 18, 2013

13.5K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biophysics

Background:

  • Retinal and sensory neurons exhibit diverse spatiotemporal responses to stimuli, often showing asymmetric or center-surround receptive fields.
  • These response patterns suggest complex, distributed computations occur before final neuronal integration, supported by anatomical evidence.

Purpose of the Study:

  • To introduce novel discrete and continuous filters for modeling computations within retinal cell receptive fields.
  • To demonstrate the filters' efficacy in analyzing complex neuron-like structures and simulating lesion effects.

Main Methods:

  • Development of new discrete and continuous filter models.
  • Utilization of a custom-programmed computer tool for analyzing model performance on non-trivial structures.
  • Application of the tool to study the impact of simulated lesions on model neural networks.

Main Results:

  • The developed filters effectively model computational processes in receptive fields.
  • The computer tool successfully analyzed various neuron-like structures, showcasing filter performance.
  • Simulations revealed the effects of lesions on the overall performance of the model neural networks.

Conclusions:

  • The proposed filters provide a valuable tool for understanding the computational mechanisms in retinal receptive fields.
  • The computational approach aids in analyzing neural structures and predicting functional changes after damage.
  • This work contributes to the broader understanding of sensory information processing in biological systems.