Back to search

Article

A Spiking Neural Network Model for Category Learning

2020-01-24

Abstract excerpt

The creation of useful categories from data is an important cognitive ability, and from the extensive research on categorization, it is now known that the brain has distinct systems for category learning. In this paper, we present the first spiking neural network (SNN) model of human category learning. Here categories are combinations of features - such categories are observed in the prefrontal cortex (PFC). The s...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f03b8457-78d1-525e-a828-3f7d46f25983
DOI
10.1101/2020.01.23.916593
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Spiking Neural Network Model for Category LearningDOI 10.1101/2020.01.23.916593
Select a neighboring publication to make it the new centre.