Jove
Visualize
Contáctanos

Videos de Conceptos Relacionados

tRNA Activation02:26

tRNA Activation

Aminoacyl-tRNA synthetases are present in both eukaryotes and bacteria. Though eukaryotes have 20 different aminoacyl-tRNA synthetases to couple to 20 amino acids, many bacteria do not have genes for all of these aminoacyl-tRNA synthetases. Despite this, they still use all 20 amino acids to synthesize their proteins. For instance, some bacteria do not have the gene encoding the enzyme that couples glutamine with its partner tRNA. In these organisms, one enzyme adds glutamic acid to all of the...
Activation and Inactivation of G Proteins01:22

Activation and Inactivation of G Proteins

Heterotrimeric G proteins are guanine nucleotide-binding proteins. As the name suggests, heterotrimeric G proteins are composed of three subunits: alpha, beta, and gamma. They remain GDP-bound or GTP-bound inside the cells and switch between inactive/active states. The Gα subunit possesses the nucleotide-binding pocket that binds guanine nucleotides and switches between GDP or GTP-bound states. In contrast, the Gꞵ and Gγ subunits are always bound together with high affinity and are together...
Sensory Functions of the Skin01:16

Sensory Functions of the Skin

The skin is the largest organ of the human body and plays a crucial role in our sensory perception. It contains a vast network of sensory receptors that contribute to the skin's protective function by perceiving physical, biological, and environmental cues and generating relevant responses.
There are two main categories of receptors on the skin: capsulated and non-capsulated. The non-capsulated ones are mainly the pain receptors. The capsulated ones can be further categorized based on the...
Generation of Action Potential in Skeletal Muscles01:24

Generation of Action Potential in Skeletal Muscles

Every cell in the body maintains a membrane potential due to an uneven distribution of positive and negative charges across its plasma membrane. The membrane potential is measured in millivolts and quantifies the difference in charge across the membrane.
Like neurons, muscle cells are also regarded as excitable due to their capacity to change in response to stimuli, primarily due to voltage-gated ion channels embedded in their plasma membranes, which get activated by alterations in the cell's...
Propagation of Action Potentials01:23

Propagation of Action Potentials

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...
Encoding01:19

Encoding

Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

Dopamine reward transients calibrate movement timing via one-shot updates to behavioral vigor.

bioRxiv : the preprint server for biology·2025
Same author

Explaining dopamine through prediction errors and beyond.

Nature neuroscience·2024
Same author

Dopamine mediates the bidirectional update of interval timing.

Behavioral neuroscience·2022
Same author

Tapered fibertrodes for optoelectrical neural interfacing in small brain volumes with reduced artefacts.

Nature materials·2022
Same author

Slowly evolving dopaminergic activity modulates the moment-to-moment probability of reward-related self-timed movements.

eLife·2021
Same author

Neuronal Mechanisms of Visual Categorization: An Abstract View on Decision Making.

Annual review of neuroscience·2016
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: Jul 7, 2026

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

Codificación dinámica de estímulos relevantes para el comportamiento en la corteza parietal.

Louis J Toth1, John A Assad

  • 1Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA. ljtoth@alum.mit.edu

Nature
|January 24, 2002
PubMed
Resumen

Las neuronas en el área intraparietal lateral (LIP) pueden cambiar su selectividad en función del comportamiento. Cuando el color guiaba los movimientos oculares, las neuronas LIP codificaban el color, pero no cuando la ubicación era relevante.

Más Videos Relacionados

Studying the Coding Profiles of Somatic Stimulation on Cardiac-locked Neuronal Responses in the Rat Spinal Dorsal Horn
07:12

Studying the Coding Profiles of Somatic Stimulation on Cardiac-locked Neuronal Responses in the Rat Spinal Dorsal Horn

Published on: May 23, 2025

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Videos de Experimentos Relacionados

Last Updated: Jul 7, 2026

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

Studying the Coding Profiles of Somatic Stimulation on Cardiac-locked Neuronal Responses in the Rat Spinal Dorsal Horn
07:12

Studying the Coding Profiles of Somatic Stimulation on Cardiac-locked Neuronal Responses in the Rat Spinal Dorsal Horn

Published on: May 23, 2025

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Área de la Ciencia:

  • La neurociencia es la neurociencia.
  • Neurociencia cognitiva y neurociencia cognitiva.
  • Integración sensorio-motriz Integración sensorio-motriz

Sus antecedentes:

  • La corteza cerebral facilita asociaciones flexibles entre los estímulos sensoriales y los comportamientos.
  • Las neuronas en las áreas parietal, prefrontal y motora vinculan las señales sensoriales a movimientos específicos.
  • Las neuronas del área intraparietal lateral (LIP) típicamente codifican la ubicación del estímulo visual y la dirección de la sacada, no atributos no espaciales como el color.

Objetivo del estudio:

  • Investigar si las neuronas LIP codifican el color cuando está relacionado de manera conductual con los movimientos oculares.
  • Determinar la flexibilidad de la selectividad neuronal en el LIP basado en las demandas de la tarea.

Principales métodos:

  • Los monos fueron entrenados para realizar movimientos saccádicos de los ojos basados en el color o la ubicación de las señales visuales.
  • La actividad neuronal en el LIP se registró durante estas tareas.
  • La selectividad de las neuronas LIP para el color y la ubicación de la señal se analizó en diferentes condiciones de comportamiento.

Principales resultados:

  • Una proporción significativa de las neuronas LIP exhibieron selectividad de color cuando el color era relevante para dirigir los movimientos oculares.
  • Cuando la ubicación de la señal era la característica relevante, la selectividad del color en las neuronas LIP estaba en gran parte ausente.
  • Esto indica que las neuronas LIP pueden adquirir dinámicamente una nueva selectividad basada en la relevancia del comportamiento.

Conclusiones:

  • La selectividad de las neuronas corticales no es fija, sino que puede ser alterada dinámicamente por el contexto conductual.
  • El LIP juega un papel en la vinculación de la información sensorial a la acción, con su capacidad de representación adaptándose a los requisitos de la tarea.
  • Estos hallazgos ponen de relieve la plasticidad de las representaciones neuronales en las áreas corticales superiores.