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Ján Antolík

2 accepted papers

2025

Learning and aligning single-neuron invariance manifolds in visual cortex

ICLR 2025oral

Understanding how sensory neurons exhibit selectivity to certain features and invariance to others is central to uncovering the computational principles underlying robustness and generalization in visual perception. Most existing methods for characterizing selectivity and invariance identify single…

Cited by 0SourcePDFScholar
2025

MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs

NeurIPS 2025poster

Decoding visual stimuli from neural population activity is crucial for understanding the brain and for applications in brain-machine interfaces. However, such biological data is often scarce, particularly in primates or humans, where high-throughput recording techniques, such as two-photon imaging,…

Cited by 0SourceScholar