# Computational methods for extracting neural correlates of working memory and mental imagery from intracortical recordings in human visual cortex

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/computational-methods-for-extracting-neural-correlates-of-working-memory-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jacob Granley,Lily M. Turkstra,Galen Pogoncheff,Fabrizio Grani,Leili Soo,Alfonso Rodil Doblado,Cristina Soto‐Sánchez,Thomas C. Sprague,Eduardo Fernández,Michael Beyeler |
| Citations | 0 |
| DOI | 10.1167/jov.25.9.2713 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1167/jov.25.9.2713 |
| OpenAlex ID | https://openalex.org/W4412462473 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Lily M. Turkstra](https://scholariq.org/researchers/lily-m-turkstra/)

## Paper primary topic

- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

## Paper topics

- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [CCD and CMOS Imaging Sensors](https://scholariq.org/topics/ccd-and-cmos-imaging-sensors/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.