LabCompass

Hannah J. Block

Neuroscience · Indiana University

Publications

56

Citations

1,517

Est. group size

Recurring co-author estimate

Active years

21

Publishing since 2005

Research summary
AI-generated

Hannah J. Block studies how the brain combines information from vision and body position sense (proprioception) to control movement, particularly the hand. Her work examines how people recalibrate their internal 'map' of where their limbs are when visual and felt positions disagree, and how motor skill learning changes these sensory processes across different ages.

Motor control and sensorimotor adaptationVision and body-position sense integrationProprioception and touchMotor skill learningBrain stimulation methods (TMS)

Publication activity has been steady over the last decade, averaging about 4-5 papers per year with a peak around 2020.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.4/year recently
2017: 2 publications172018: 2 publications182019: 5 publications192020: 10 publications10202021: 2 publications212022: 6 publications222023: 4 publications232024: 7 publications242025: 5 publications2526
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×11
  • Journal of Neurophysiology×5
  • Journal of Neuroscience×2
  • Scientific Reports×2
  • Experimental Brain Research×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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