# Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/categorization-and-decision-making-in-a-neurobiologically-plausible-spiking/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Michael Beyeler,Nikil Dutt,Jeffrey L. Krichmar |
| Citations | 132 |
| DOI | 10.1016/j.neunet.2013.07.012 |
| Fields | Engineering,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2158766867 |
| PMID | 23994510 |
| Type | article |
| Year | 2013 |

## Paper authors

- [Michael Beyeler](https://scholariq.org/researchers/michael-beyeler/)

## Paper journal

- [Neural Networks](https://scholariq.org/journals/neural-networks/)

## Paper primary topic

- [Advanced Memory and Neural Computing](https://scholariq.org/topics/advanced-memory-and-neural-computing/)

## Paper topics

- [Advanced Memory and Neural Computing](https://scholariq.org/topics/advanced-memory-and-neural-computing/)
- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)
- [CCD and CMOS Imaging Sensors](https://scholariq.org/topics/ccd-and-cmos-imaging-sensors/)

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