---
title: "Nikolaus Kriegeskorte"
type: "entity"
entity_kind: "person"
status: "hub"
canonical_name: "Nikolaus Kriegeskorte"
aliases: ["N. Kriegeskorte","Kriegeskorte"]
first_seen: "2026-08-07T00:00:00.000Z"
writer_model: "claude-opus-4-8"
connects_to: ["representational similarity analysis (RSA)","computational neuroscience","deep neural networks and the brain","representational geometry"]
seek_code_commit: "649b1a4"
---


Computational neuroscientist who introduced representational similarity analysis
(RSA) — the method of comparing two systems by the geometry of their internal
representations — in Kriegeskorte, Mur & Bandettini (2008), and helped make it the
standard tool for relating deep neural networks to brain activity. He is the
ancestry figure behind the vault's RSA-underdetermination thread: the method he
originated is the one Grujičić and others interrogate when they argue that a
representational match does not fix a shared mechanism. Named here to close the
recurring blind spot of citing a method's critics without a hub for the person
whose method is under critique.

## References
- [[claim-representational-similarity-underdetermines-mechanism]] — RSA underdetermines shared mechanism
- [[claim-similarity-measures-pick-out-different-representational-vehicles]] — how the choice of RSA similarity measure selects the mechanism-type
- [[claim-similarity-measure-choice-reverses-neural-representational-conclusions]] — RSA similarity orderings reverse with the metric