Research

Topographic maps

How maps of the sensory world and of the body organize processing throughout the brain.

Inflated cortical surfaces colored by preferred visual field position, with visual areas from V1 to the intraparietal sulcus outlined.

Early sensory cortex is laid out as maps: neighboring neurons respond to neighboring points on the retina or the skin. We ask how far this organization reaches beyond the classical sensory areas, how it changes with cognitive state and with eye movements, and what maps contribute to memory, to action and to perceiving other people’s bodies.

Approach

We estimate each brain location’s preferred position in visual space with population receptive field (pRF) models. Topographic connectivity derives preferred positions in visual space or on the body from the pattern of activity on a source map, such as primary visual cortex (V1) or primary somatosensory cortex (S1). It needs only brain activity, so it also works during movie watching and rest. We analyze large public datasets, such as the Human Connectome Project (HCP) retinotopy data, alongside individuals scanned over many runs.

What we have found

The cerebellum contains maps of visual space. In the HCP retinotopy data we found five ipsilateral retinotopic maps in three clusters of the human cerebellum (oculomotor vermis, lobule VIIb and lobule VIIIb), and released an atlas of them (van Es et al., 2019). Connectivity with V1 later revealed an eccentricity gradient in the oculomotor vermis during movie watching, absent in a simple mapping experiment, and a new topographic area in Crus II that appeared during movies but not at rest (Zuiderbaan et al., 2026).

Visual coding extends into the default network and hippocampus. In the human brain, the default network deactivates selectively depending on where a visual stimulus appears: it encodes spatial vision through deactivation (Szinte and Knapen, 2020). Connectivity with V1 revealed stable visual organization in the default-mode network and hippocampus, warped by cognitive state (Knapen, 2021). In the human hippocampus, pRF mapping showed strong biases for the contralateral visual field (Silson et al., 2021).

Body maps in visual cortex. A model that maps body-part tuning and visual field tuning at once revealed an array of somatotopic body maps across the human dorsolateral visual system during video watching. Their body-position tuning aligns with their visual tuning and predicts both visual field preferences and preferences for seeing particular body parts (Hedger et al., 2025).

Maps across eye movements. Motion and tilt aftereffects are tied to retinal position, not to world- or head-centered position (Knapen et al., 2009; Knapen et al., 2010). Around a saccade, information about its target reaches foveal retinotopic cortex. In human fMRI, activity matching the target’s orientation and size was remapped to the fovea, but not when observers only attended the target (Knapen et al., 2016), and peripheral targets could be decoded from foveal cortex without foveal stimulation (Kämmer et al., 2026).

Open questions

With colleagues, we have proposed that visuospatial coding gives cognition a common reference frame (Groen et al., 2021). What do maps in memory and default-network regions compute, and how do they reorganize during free viewing? How do aligned visual and bodily maps support action and social perception, and how similar is this organization across primate species?

Papers

13 papers on this theme, selected papers first. Filter the full list.

  1. Vicarious body maps bridge vision and touch in the human brain

    Hedger N, Naselaris T, Kay K, Knapen T

    Nature 650(8100), 173–181 (2025) Selected

  2. Visuospatial coding as ubiquitous scaffolding for human cognition

    Groen IIA, Dekker TM, Knapen T, Silson EH

    Trends in Cognitive Sciences 26(1), 81–96 (2021) Review Selected

  3. Topographic connectivity reveals task-dependent retinotopic processing throughout the human brain

    Knapen T

    Proceedings of the National Academy of Sciences 118(2), e2017032118 (2021) Selected

  4. Topographic Maps of Visual Space in the Human Cerebellum

    van Es DM, van der Zwaag W, Knapen T

    Current Biology 29(10), 1689–1694.e3 (2019) Selected

  5. Feedback of peripheral saccade targets to early foveal cortex

    Kämmer L, Kroell LM, Knapen T, Rolfs M, Hebart MN

    eLife 14 (2026)

  6. Task-Dependent Visual Topographic Connectivity in the Human Cerebellum

    Zuiderbaan W, van der Zwaag W, Knapen T

    Journal of Neuroscience 46(3) (2026)

  7. Representation of Contralateral Visual Space in the Human Hippocampus

    Silson EH, Zeidman P, Knapen T, Baker CI

    Journal of Neuroscience 41(11), 2382–2392 (2021)

  8. Visual Organization of the Default Network

    Szinte M, Knapen T

    Cerebral Cortex 30(6), 3518–3527 (2020)

  9. How Visual Cortical Organization Is Altered by Ophthalmologic and Neurologic Disorders

    Dumoulin SO, Knapen T

    Annual Review of Vision Science 4, 357–379 (2018) Review

  10. Oculomotor Remapping of Visual Information to Foveal Retinotopic Cortex

    Knapen T, Swisher JD, Tong F, Cavanagh P

    Frontiers in Systems Neuroscience 10, 54 (2016)

Show all 13 papersShow fewer papers
  1. The reference frame of the tilt aftereffect

    Knapen T, Rolfs M, Wexler M, Cavanagh P

    Journal of Vision 10(1), 8 (2010)

  2. The spatial scale of perceptual memory in ambiguous figure perception

    Knapen T, Brascamp J, Adams WJ, Graf EW

    Journal of Vision 9(13), 16 (2009)

  3. The reference frame of the motion aftereffect is retinotopic

    Knapen T, Rolfs M, Cavanagh P

    Journal of Vision 9(5), 16 (2009)

People

Xaver Funk

Postdoctoral researcher (from 2027)

Former lab members who worked on this theme: Daan van Es, Martin Szinte, Nick Hedger, Inês Veríssimo.

Software & data

Python package for fitting population receptive field models (including compressive spatial summation, difference-of-Gaussians and divisive normalization variants) and related models such as connective field and contrast sensitivity models, on GPU-accelerated backends (TensorFlow, PyTorch or JAX, through Keras 3). Developed by the Popylar team with the Netherlands eScience Center.

pip install "prfmodel[tensorflow]"

prfpy

Available

Python package to simulate and fit population receptive field (pRF) models to time series data, including the divisive normalization pRF model. prfmodel, developed in the Popylar project, builds on it.

Vicarious body-map atlas

Available

An atlas of the somatotopic body maps described in the vicarious body maps study. The paper's data availability statement describes how to obtain it.