Jove
Visualize
Contáctanos
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

Videos de Conceptos Relacionados

Determination01:51

Determination

20.6K
During embryogenesis, cells become progressively committed to different fates through a two-step process: specification followed by determination. Specification is demonstrated by removing a segment of an early embryo, “neutrally” culturing the tissue in vitro—for example, in a petri dish with simple medium—and then observing the derivatives. If the cultured region gives rise to cell types that it would normally generate in the embryo, this means that it is specified. In...
20.6K
Neuroplasticity01:01

Neuroplasticity

1.5K
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
1.5K
Neural Circuits01:25

Neural Circuits

2.6K
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...
2.6K
Neurulation01:30

Neurulation

45.0K
Neurulation is the embryological process which forms the precursors of the central nervous system and occurs after gastrulation has established the three primary cell layers of the embryo: ectoderm, mesoderm, and endoderm. In humans, the majority of this system is formed via primary neurulation, in which the central portion of the ectoderm—originally appearing as a flat sheet of cells—folds upwards and inwards, sealing off to form a hollow neural tube. As development proceeds, the...
45.0K
Neuronal Communication01:28

Neuronal Communication

2.9K
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
2.9K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.6K
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....
3.6K

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

The Brain HelpDesk: an online interactive platform for neuroscience communication with the general public.

Brain structure & function·2026
Same author

NeuroCarta: An automated and quantitative approach to mapping cellular networks in the mouse brain.

Network neuroscience (Cambridge, Mass.)·2025
Same author

Information transfer and recovery for the sense of touch.

Cerebral cortex (New York, N.Y. : 1991)·2025
Same author

Targeting Key Risk Factors for Cardiovascular Disease in At-Risk Individuals: Developing a Digital, Personalized, and Real-Time Intervention to Facilitate Smoking Cessation and Physical Activity.

JMIR cardio·2024
Same author

The tuning of tuning: How adaptation influences single cell information transfer.

PLoS computational biology·2024
Same author

Nonlinear super-resolution signal processing allows intracellular tracking of calcium dynamics.

Journal of neural engineering·2024
Same journal

DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation.

PLoS computational biology·2026
Same journal

Redefining and estimating the early-phase reproduction ratio for epidemic outbreaks in spatially structured populations.

PLoS computational biology·2026
Same journal

Optimized phenotype definitions boost GWAS power.

PLoS computational biology·2026
Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026
Same journal

Exploring the structural lexicon of the Proteome via Metric Geometry.

PLoS computational biology·2026
Same journal

Linking retinal sampling in neural encoding models to temporal profiles of visual processing in humans.

PLoS computational biology·2026
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: Jan 8, 2026

Homochronic Transplantation of Interneuron Precursors into Early Postnatal Mouse Brains
10:08

Homochronic Transplantation of Interneuron Precursors into Early Postnatal Mouse Brains

Published on: June 8, 2018

8.2K

La identidad neuronal no es estática: una perspectiva impulsada por la entrada

Nishant Joshi1, Sven van Der Burg2, Tansu Celikel3,4

  • 1Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.

PLoS computational biology
|December 22, 2025
PubMed
Resumen
Este resumen es generado por máquina.

La clasificación neuronal no es estática; cambia dinámicamente según los patrones de entrada. Los promedios de espiga activada (STA) explican mejor la identidad neuronal, enfatizando la diversidad funcional dinámica sobre las propiedades estáticas.

Palabras clave:
identidad neuronalclasificación neuronaldinámica neuronalpromedio de espiga activadadiversidad funcional

Más Videos Relacionados

Isolation and Cultivation of Neural Progenitors Followed by Chromatin-Immunoprecipitation of Histone 3 Lysine 79 Dimethylation Mark
10:09

Isolation and Cultivation of Neural Progenitors Followed by Chromatin-Immunoprecipitation of Histone 3 Lysine 79 Dimethylation Mark

Published on: January 26, 2018

7.9K
Live Imaging of Drosophila Larval Neuroblasts
09:50

Live Imaging of Drosophila Larval Neuroblasts

Published on: July 7, 2014

15.4K

Videos de Experimentos Relacionados

Last Updated: Jan 8, 2026

Homochronic Transplantation of Interneuron Precursors into Early Postnatal Mouse Brains
10:08

Homochronic Transplantation of Interneuron Precursors into Early Postnatal Mouse Brains

Published on: June 8, 2018

8.2K
Isolation and Cultivation of Neural Progenitors Followed by Chromatin-Immunoprecipitation of Histone 3 Lysine 79 Dimethylation Mark
10:09

Isolation and Cultivation of Neural Progenitors Followed by Chromatin-Immunoprecipitation of Histone 3 Lysine 79 Dimethylation Mark

Published on: January 26, 2018

7.9K
Live Imaging of Drosophila Larval Neuroblasts
09:50

Live Imaging of Drosophila Larval Neuroblasts

Published on: July 7, 2014

15.4K

Área de la Ciencia:

  • Neurociencia; Neurociencia Computacional; Neurociencia de Sistemas

Sus antecedentes:

  • La clasificación neuronal tradicionalmente se basa en propiedades estáticas como la morfología y la electrofisiología.
  • Este estudio desafía la visión estática, proponiendo que la clasificación funcional depende de la entrada.

Objetivo del estudio:

  • Investigar cómo los diferentes patrones de entrada influyen en la clasificación neuronal.
  • Determinar la contribución relativa de los atributos neuronales frente a los patrones de entrada en la definición de la identidad neuronal.

Principales métodos:

  • Registros de células individuales de neuronas de la corteza de barril de capa 2/3 de ratón.
  • Comparación de las respuestas neuronales a entradas de ruido congelado dinámico frente a paso y mantenimiento.
  • Análisis del potencial de acción, corrientes biofísicas pasivas, corrientes de adaptación y promedios de espiga activada (STA).

Principales resultados:

  • La clasificación neuronal varió significativamente según el tipo de entrada (paso y mantenimiento vs. ruido dinámico).
  • Los promedios de espiga activada (STA), que reflejan la capacidad de respuesta impulsada por la entrada, explicaron la mayor parte de la varianza en la clasificación neuronal.
  • Los patrones de entrada son determinantes críticos de la identidad neuronal funcional.

Conclusiones:

  • La identidad neuronal es dinámica y está significativamente influenciada por la naturaleza de la entrada sináptica.
  • Las entradas fisiológicamente relevantes son esenciales para una clasificación neuronal precisa.
  • La investigación futura debe centrarse en la diversidad funcional dinámica en lugar de las propiedades neuronales estáticas.