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Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

The Equilibrium Binding Constant and Binding Strength

The Equilibrium Binding Constant and Binding Strength

The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:

The Equilibrium Binding Constant and Binding Strength

The Equilibrium Binding Constant and Binding Strength

Network Covalent Solids

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...

Ligand Binding Sites

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...

Conserved Binding Sites

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...

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El problema de la vinculación fenoménica para redes neuronales

Chris Percy¹, Gautam Agarwal²

¹Qualia Research Institute, San Francisco, USA; College of Arts, Humanities and Education, University of Derby, Derby, UK.

Consciousness and cognition

|February 4, 2026

Resumen

Este resumen es generado por máquina.

Los investigadores exploraron los mecanismos de las redes neuronales artificiales (ANN) para la vinculación fenoménica, y descubrieron que los modelos actuales pueden lograr la vinculación funcional pero tienen dificultades con la vinculación fenoménica, lo que pone de relieve los desafíos para las teorías de la conciencia.

Palabras clave:

Conexionismo Vinculación funcional Redes neuronales Vinculación fenoménica Conciencia fenoménica

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Área de la Ciencia:

Neurociencia Cognitiva
Neurociencia Computacional
Filosofía de la Mente

Sus antecedentes:

La vinculación fenoménica, la integración de microinformación en la experiencia macroconsciente, es crucial para las teorías de la conciencia.
Comprender este proceso ayuda a la traducción entre la fenomenología psicológica y la neurociencia computacional.

Objetivo del estudio:

Explorar los mecanismos de las redes neuronales para la vinculación fenoménica.
Conectar la vinculación fenoménica con la vinculación funcional, el problema difícil y la unidad de la conciencia.
Evaluar las teorías de la conciencia existentes frente a un modelo simple de red neuronal artificial (ANN).

Principales métodos:

Se definió un modelo simple de red neuronal artificial (ANN) para investigar la vinculación fenoménica.
Se evaluó la capacidad del modelo para la vinculación funcional y fenoménica.
Se mapearon las teorías de la conciencia establecidas y potenciales al espacio de solución del modelo ANN.

Principales resultados:

El modelo ANN implementó con éxito la vinculación funcional.
El modelo no implementó la vinculación fenoménica al distinguir el procesamiento consciente e inconsciente.
Varias teorías, incluidas IIT, Orch-OR y CEMI, se alinean con la estructura de solución propuesta.

Conclusiones:

Los modelos ANN simples actuales enfrentan limitaciones para explicar la vinculación fenoménica.
Se necesita más investigación para refinar las teorías existentes y explicar la vinculación fenoménica.
El estudio proporciona un marco para desarrollar y evaluar futuras teorías de la conciencia.