# Neuroscience of Behavior

**Authors:** Mario Treviño, Oscar Arias-Carrión, Braniff de la Torre-Valdovinos, Paulina Osuna Carrasco, Inmaculada Márquez

PMC · DOI: 10.3390/neurosci6040108 · NeuroSci · 2025-10-24

## TL;DR

The paper explores how behavior arises from complex neural processes and emphasizes the need to study both behavior and neural activity together.

## Contribution

It provides a unified framework integrating biological, environmental, and computational perspectives on behavior and neural systems.

## Key findings

- Behavior and neural activity are interdependent and must be studied together.
- Neural dynamics correlate with latent variables like intention and prediction error.
- Recent methods allow analyzing neural and behavioral data with shared computational models.

## Abstract

Behavior is not a mere sequence of responses to stimuli but the dynamic expression of internal processes such as planning, prediction, valuation, and inference. These functions arise from distributed and metabolically costly neural systems and are best understood by considering behavior and neural activity together. This article presents a narrative and conceptual review of the neuroscience of behavior, integrating biological, environmental, and computational perspectives. We synthesize evidence from motor control, neural population dynamics, predictive processing, and spontaneous behavior, showing that behavior cannot be explained without the neural systems that generate it, and that neural activity gains meaning only through detailed behavioral models. Neural dynamics correlate with latent variables, such as intention and prediction error, that structure adaptive action across timescales. Recent advances in behavioral analysis, dimensionality reduction, and computational modeling enable the analysis of neural and behavioral data with comparable complexity, revealing shared computational architectures that link population activity with the organization of action. Our methodology involved a targeted literature search in PubMed and Web of Science (1919–2025), supplemented by seminal earlier works. By combining mechanistic and functional analysis, we outline a unified framework that explains how brains, bodies, and environments together generate flexible, adaptive behavior.

## Full-text entities

- **Diseases:** executive deficits (MESH:D009461), taste aversion (MESH:D020018), impaired motor control (MESH:D007174), cerebellar and striatal dysfunction (MESH:D002526), injury to (MESH:D014947), autism (MESH:D001321), Parkinson's disease (MESH:D010300), schizophrenia (MESH:D012559), psychiatric illnesses (MESH:D001523), movement disorders (MESH:D009069), ADHD (MESH:D001289)
- **Chemicals:** oxygen (MESH:D010100), lactose (MESH:D007785), norepinephrine (MESH:D009638), calcium (MESH:D002118), glucose (MESH:D005947), microzone (-), dopamine (MESH:D004298)
- **Species:** Rattus norvegicus (brown rat, species) [taxon 10116], Drosophila melanogaster (fruit fly, species) [taxon 7227], Mus musculus (house mouse, species) [taxon 10090], Mustela putorius furo (black ferret, subspecies) [taxon 9669], Callithrix jacchus (common marmoset, species) [taxon 9483], Homo sapiens (human, species) [taxon 9606], Rodentia (rodent, order) [taxon 9989], Danio rerio (leopard danio, species) [taxon 7955], C. elegans [taxon 328850]

## Full text

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## References

55 references — full list in the complete paper: https://tomesphere.com/paper/PMC12641644/full.md

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Source: https://tomesphere.com/paper/PMC12641644