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researcher

Tim C Kietzmann

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • q-bio.NC3
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedThe neuroconnectionist research programme

24 citations · 24 across the 1 of their papers we have counts for

collaborators

4 papers

q-bio.NC2022★ 24 cited

The neuroconnectionist research programme

Adrien Doerig, Rowan Sommers, Katja Seeliger +8

Artificial Neural Networks (ANNs) inspired by biology are beginning to be widely used to model behavioral and neural data, an approach we call neuroconnectionism. ANNs have been la…

q-bio.NC2019

Visualizing Representational Dynamics with Multidimensional Scaling Alignment

Baihan Lin, Marieke Mur, Tim Kietzmann +1

Representational similarity analysis (RSA) has been shown to be an effective framework to characterize brain-activity profiles and deep neural network activations as representation…

cs.CV2019

Learning robust visual representations using data augmentation invariance

Alex Hernández-García, Peter König, Tim C. Kietzmann

Deep convolutional neural networks trained for image object categorization have shown remarkable similarities with representations found across the primate ventral visual stream. Y…

q-bio.NC2019

Recurrence is required to capture the representational dynamics of the human visual system

Tim C Kietzmann, Courtney J Spoerer, Lynn Sörensen +3

The human visual system is an intricate network of brain regions that enables us to recognize the world around us. Despite its abundant lateral and feedback connections, object pro…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.