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Related Concept Videos

Neural Circuits01:25

Neural Circuits

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...

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Related Experiment Video

Updated: May 15, 2026

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
05:19

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

Sub-millisecond closed-loop feedback stimulation between arbitrary sets of individual neurons.

Jan Müller1, Douglas J Bakkum, Andreas Hierlemann

  • 1Bio Engineering Laboratory, ETH Zürich Basel, Switzerland.

Frontiers in Neural Circuits
|January 22, 2013
PubMed
Summary

We developed a system to control neuron communication timing using a complementary metal-oxide-semiconductor (CMOS) high-density microelectrode array (MEA). This technology allows real-time manipulation of neural network information processing for research into memory and learning.

Keywords:
LTDSTDPacausal stimulationclosed-loophigh-density microelectrode arraysub-millisecond

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Related Experiment Videos

Last Updated: May 15, 2026

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
05:19

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms
08:28

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

Published on: March 3, 2023

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Area of Science:

  • Neuroscience
  • Bioelectronics
  • Computational Neuroscience

Background:

  • Neural spike timing is crucial for brain functions like memory and learning.
  • Understanding and manipulating neural network dynamics is key to advancing neuroscience.

Purpose of the Study:

  • To present a novel system for artificially correlating spike timing between arbitrary neurons.
  • To enable real-time, closed-loop manipulation of neural network information processing.

Main Methods:

  • Utilized a complementary metal-oxide-semiconductor (CMOS) high-density microelectrode array (MEA).
  • Developed a reprogrammable event engine for detecting spatio-temporal action potential patterns.
  • Implemented sub-millisecond closed-loop electrical stimulation feedback.

Main Results:

  • Successfully demonstrated a system capable of detecting and responding to neural activity in real-time.
  • Achieved precise, sub-millisecond control over electrical stimulation based on detected spike patterns.
  • Established a method to artificially alter spike timing relationships between neurons.

Conclusions:

  • The developed system offers a novel tool to investigate the role of spike timing in neural computation.
  • Provides a "knob" to tune information processing in neural networks, advancing research in memory and learning.
  • Opens new avenues for studying neural plasticity and network dynamics.