Back to search

Article

On logical inference over brains, behaviour, and artificial neural networks

2021-10-06

Abstract excerpt

<p>In the cognitive, computational, and neuro- sciences, practitioners often reason about what computational models represent or learn, as well as what algorithm is instantiated. The putative goal of such reasoning is to generalize claims about the model in question, to claims about the mind and brain, and the neurocognitive capacities of those systems. Such inference is often based on a model's performance on a t...

Topics

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

Identifiers and source

Literature Corpus work
5f78f733-d52c-5106-9bbb-38b3c96554e4
DOI
10.31234/osf.io/tbmcg
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.
On logical inference over brains, behaviour, and artificial neural networksDOI 10.31234/osf.io/tbmcg
Select a neighboring publication to make it the new centre.