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Related Concept Videos

Neural Circuits01:25

Neural Circuits

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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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Second-Order Circuits01:17

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Integrating two fundamental energy storage elements in electrical circuits results in second-order circuits, encompassing RLC circuits and circuits with dual capacitors or inductors (RC and RL circuits). Second-order circuits are identified by second-order differential equations that link input and output signals.
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First-Order Circuits01:15

First-Order Circuits

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First-order electrical circuits, which comprise resistors and a single energy storage element - either a capacitor or an inductor, are fundamental to many electronic systems. These circuits are governed by a first-order differential equation that describes the relationship between input and output signals.
One common example of a first-order circuit is the RC (resistor-capacitor) circuit. These circuits are used in relaxation oscillators such as neon lamp oscillator circuits. When voltage is...
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The Y-to-Y Circuit01:19

The Y-to-Y Circuit

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In a balanced four-wire wye-to-wye system, the arrangement involves wye-connected sinusoidal voltage sources and loads, connected through a neutral wire that links the neutral nodes of the source and load. The load impedance is connected across each phase of the load. The wye-connected source can be connected to the wye-connected load in four-wire and three-wire arrangements. A three-phase system is considered balanced when the load on each phase is equal, leading to uniform current flow and...
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LC Circuits01:21

LC Circuits

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An LC circuit consists of an inductor and a capacitor, either in series or parallel. Consider a charged capacitor connected with an inductor in series. Before the switch is closed, all the energy of the circuit is stored in the electric field of the capacitor. When the switch is closed, the capacitor begins to discharge, producing a current in the circuit. The current, in turn, creates a magnetic field in the inductor. Because of the induced emf in the inductor, the current cannot change...
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Neural Regulation01:37

Neural Regulation

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Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
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Correction: Kang et al. Fluid Flow to Electricity: Capturing Flow-Induced Vibrations with Micro-Electromechanical-System-Based Piezoelectric Energy Harvester. <i>Micromachines</i> 2024, <i>15</i>, 581.

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Recordings of Neural Circuit Activation in Freely Behaving Animals
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Neural Circuits on a Chip.

Md Fayad Hasan1, Yevgeny Berdichevsky2,3

  • 1Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA 18015, USA. mdh415@lehigh.edu.

Micromachines
|November 9, 2018
PubMed
Summary
This summary is machine-generated.

Scientists are building precise living neural circuits in vitro. These engineered brain networks show learning and can perform logic functions, advancing our understanding of neural processing.

Keywords:
axoncircuitculturemicrochannelmicrostampingmultiple electrode array (MEA)neuronoptogenetic

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Area of Science:

  • Neuroscience
  • Bioengineering
  • Systems Biology

Background:

  • Neural circuits underpin brain functions like information processing and storage.
  • Reductionist approaches study individual neurons in vitro.
  • Dissociated neurons spontaneously form networks with synchronized activity and learning capabilities.

Purpose of the Study:

  • To review methods for controlling neuronal connectivity in vitro.
  • To explore the construction of increasingly complex and precise living neural circuits.
  • To highlight advances enabling sophisticated neural circuit engineering.

Main Methods:

  • Microfabrication techniques to guide neuronal network self-assembly.
  • Development of methods for controlling in vitro circuit size and connectivity.
  • Integration of advanced multiple electrode arrays and optical sensors/transducers.

Main Results:

  • Controlled self-assembly of neuronal networks with defined size and connectivity.
  • Demonstration of logic functions implemented by living neural circuits.
  • Establishment of techniques for constructing and controlling three-dimensional neural circuits.
  • Development of interfaces for monitoring and interacting with large-scale neural circuits.

Conclusions:

  • Engineered living neural circuits offer a platform for studying brain function.
  • Precise control over neural connectivity and activity is achievable in vitro.
  • Advances in fabrication and sensing technologies are crucial for developing complex neural circuits.
  • Future on-chip neural circuits hold promise for deeper insights into brain mechanisms.