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Weak Base Solutions03:21

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Some compounds produce hydroxide ions when dissolved by chemically reacting with water molecules. In all cases, these compounds react only partially and so are classified as weak bases. These types of compounds are also abundant in nature and important commodities in various technologies. For example, global production of the weak base ammonia is typically well over 100 metric tons annually, being widely used as an agricultural fertilizer, a raw material for chemical synthesis of other...
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Weak Acid Solutions04:02

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Few compounds act as strong acids. A far greater number of compounds behave as weak acids and only partially react with water, leaving a large majority of dissolved molecules in their original form and generating a relatively small amount of hydronium ions. Weak acids are commonly encountered in nature, being the substances partly responsible for the tangy taste of citrus fruits, the stinging sensation of insect bites, and the unpleasant smells associated with body odor. A familiar example of a...
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Titration of a Weak Acid with a Weak Base01:08

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Weak acids and bases do not undergo dissociation completely, and titrations between these two are rarely studied. When such studies are performed, say, for the titration of a weak acid with a weak base, the titration curve plots the change in pH as a function of the volume of base added. Take the titration of acetic acid with ammonia, for instance. During the titration, these two species form ammonium acetate and water, but the pH change is slow and gradual.
As a result, there is no simple...
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lncRNA - Long Non-coding RNAs02:39

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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Calculating pH for Titration Solutions: Weak Acid/Strong Base
For the titration of 25.00 mL of 0.100 M CH3CO2H with 0.100 M NaOH, the reaction can be represented as:
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Updated: Feb 15, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
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Descifrando códigos de lugar del hipocampo en ritmos theta débiles

Gautam Agarwal1,2, Seiji Akera3, Brian Lustig4

  • 1Department of Natural Sciences, Pitzer College, Claremont, CA, USA. gagarwal@scrippscollege.edu.

Nature communications
|February 13, 2026
PubMed
Resumen

Los potenciales de campo local (LFP) pueden transportar información espacial incluso sin fuertes oscilaciones theta. Una red neuronal artificial reveló ritmos theta sintonizados con la posición (pThetas) en el hipocampo de ratas, lo que sugiere nuevos principios de decodificación para el cálculo neuronal.

Palabras clave:
oscilaciones neuronalesritmos thetahipocamponavegación espacialredes neuronales artificialescodificación neuronalpotenciales de campo localcálculo neuronal

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Last Updated: Feb 15, 2026

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Área de la Ciencia:

  • Neurociencia
  • Neurociencia Computacional
  • Inteligencia Artificial

Sus antecedentes:

  • Se cree que los potenciales de campo local (LFP) reflejan la coordinación neuronal, pero su papel en el cálculo neuronal no está claro.
  • Los ritmos theta del hipocampo organizan la actividad de las células de lugar para la navegación espacial, pero se vuelven irregulares durante la inmovilidad.
  • Se asume que esta irregularidad perjudica la codificación de la información espacial.

Objetivo del estudio:

  • Desafiar la suposición de que los ritmos theta irregulares alteran la información espacial.
  • Desarrollar un método para detectar información espacial en LFP con oscilaciones débiles.
  • Investigar principios alternativos para decodificar información neuronal.

Principales métodos:

  • Se desarrolló una red neuronal artificial para identificar ritmos theta sintonizados con la posición (pThetas) a partir de LFP.
  • Se analizaron registros de LFP de ratas macho durante la navegación y la inmovilidad.
  • Se compararon las pThetas con los ritmos theta dominantes y los códigos de espigas de población.

Principales resultados:

  • La red neuronal artificial identificó con éxito pThetas a partir de LFP, incluso sin fuertes oscilaciones theta.
  • Se descubrió que las pThetas son distintas del ritmo theta dominante.
  • Las pThetas reflejaron la coordinación rítmica entre las poblaciones de células de lugar y transportaron información espacial.

Conclusiones:

  • Las oscilaciones neuronales débiles e intermitentes pueden transmitir información espacial significativa.
  • Los principios de decodificación basados en la información son efectivos para analizar datos neuronales con oscilaciones sutiles.
  • Esto desafía las puntos de vista tradicionales sobre la necesidad de oscilaciones fuertes para el cálculo neuronal.