Jove
Visualize
Contáctanos

Videos de Conceptos Relacionados

Neural Circuits01:25

Neural Circuits

1.5K
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...
1.5K
Integration of Synaptic Events01:28

Integration of Synaptic Events

2.1K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
2.1K
Neuron Structure01:31

Neuron Structure

225.2K
Overview
225.2K
Propagation of Action Potentials01:23

Propagation of Action Potentials

6.8K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
6.8K
Electrical Synapses01:28

Electrical Synapses

8.9K
Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
8.9K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Alternating atomic-dipole layers and switching dynamics in Al<sub>1-x</sub>Sc<sub>x</sub>N ferroelectrics.

Science (New York, N.Y.)·2026
Same author

Mesenchymal stromal cells alleviate neuropathic pain in association with M2 macrophage polarization in dorsal root ganglia and peripheral nerve repair.

BMC anesthesiology·2026
Same author

Energetic Mn(II)/Ni(II) coordination compounds in catalyzing RDX and HMX decomposition and enhancing combustion.

Dalton transactions (Cambridge, England : 2003)·2026
Same author

Thermally Processable, Transparent, Mechanically Tunable and Robust Bioplastics From Wastepaper.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Spatial prediction of animal plague risk in Qinghai Province, China using MaxEnt modeling: implications for targeted control.

Frontiers in veterinary science·2026
Same author

HFIP-promoted strain-release rearrangement/<i>N</i>-functionalization of azabicyclo[1.1.0]butanes with <i>para</i>-quinone methides for the synthesis of azetidines.

Chemical communications (Cambridge, England)·2026
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Video Experimental Relacionado

Updated: Sep 9, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.0K

Red neuronal bayesiana con fuente de entropía unificada y pesos de sinapsis utilizando una matriz de 16 capas de

Yuanquan Huang1,2,3, Qiqiao Wu4,5, Tiancheng Gong6,7

  • 1State Key Laboratory of Fabrication Technologies for Integrated Circuits, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China.

Nature communications
|August 28, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Los dispositivos de diodo Fe ofrecen una fuente de entropía estable y de alta frecuencia ideal para sistemas de inteligencia artificial (IA) de vanguardia. Estos dispositivos permiten cálculos de IA eficientes y precisos incluso bajo temperaturas extremas y altas frecuencias.

Más Videos Relacionados

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
09:47

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model

Published on: October 18, 2015

10.2K
Dopamine Release at Individual Presynaptic Terminals Visualized with FFNs
09:37

Dopamine Release at Individual Presynaptic Terminals Visualized with FFNs

Published on: August 31, 2009

24.9K

Videos de Experimentos Relacionados

Last Updated: Sep 9, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.0K
Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
09:47

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model

Published on: October 18, 2015

10.2K
Dopamine Release at Individual Presynaptic Terminals Visualized with FFNs
09:37

Dopamine Release at Individual Presynaptic Terminals Visualized with FFNs

Published on: August 31, 2009

24.9K

Área de la Ciencia:

  • Ciencias de los materiales
  • Inteligencia artificial
  • Física de los dispositivos

Sus antecedentes:

  • Los sistemas de IA de borde exigen una operación de alta frecuencia, desafiando las fuentes de entropía tradicionales que se degradan con la frecuencia.
  • Las fuentes de entropía existentes luchan con la estabilidad requerida para la IA de borde bajo temperaturas y frecuencias variables.

Objetivo del estudio:

  • Investigar la idoneidad de los dispositivos de diodo Fe como una fuente de entropía estable y de alta frecuencia para la IA de borde.
  • Implementar experimentalmente una red neuronal bayesiana utilizando dispositivos de diodo Fe en chips basados en silicio.

Principales métodos:

  • Caracterización de la densidad de ruido del dispositivo de diodo Fe a través de voltajes, frecuencias y temperaturas de lectura variables.
  • Implementación experimental de una red neuronal Bayesiana jerárquica que utiliza una matriz de Fe-diodo de 16 capas en 3D.
  • Demostración de una fuente de entropía unificada y arquitectura de sinapsis de 4 estados.

Principales resultados:

  • Los dispositivos de diodo Fe presentan una densidad de ruido estable, modificable por el voltaje de lectura, a través de altas frecuencias y fluctuaciones de temperatura.
  • La red neuronal bayesiana implementada logró una alta precisión de reconocimiento.
  • El sistema demostró una alta eficiencia de área y un amplio rango de temperatura de trabajo.

Conclusiones:

  • Los dispositivos de diodo Fe son físicamente adecuados para aplicaciones de IA de borde que requieren altas frecuencias y estabilidad ambiental.
  • La red neuronal bayesiana desarrollada basada en diodos Fe ofrece entrenamiento in situ de baja energía y alto rendimiento para la IA de borde.