Mathematical modeling of brain circuitry during cerebellar movement control. - Henrik Jörntell; Per-Ola Forsberg; Fredrik Bengtsson; Rolf Johansson 001 (ROBIO, 2009)

ORF-MOSAIC for adaptive control of a biomimetic arm. - Mohammad Mahdi Ghazaei Ardakani; Henrik Jörntell; Rolf Johansson 001 (ROBIO, 2011)

Human hand modelling: kinematics, dynamics, applications. - Agneta Gustus; Georg Stillfried; Judith Visser; Henrik Jörntell; Patrick van der Smagt (Biol. Cybern., 2012)

Neural bases of hand synergies. - Marco Santello; Gabriel Baud-Bovy; Henrik Jörntell (Frontiers Comput. Neurosci., 2013)

Cross-correlations between pairs of neurons in cerebellar cortex in vivo. - Fredrik Bengtsson; Pontus Geborek; Henrik Jörntell (Neural Networks, 2013)

Computation in the Cerebellum. - Dieter Jaeger; Henrik Jörntell; Mitsuo Kawato (Neural Networks, 2013)

Processing of Multi-dimensional Sensorimotor Information in the Spinal and Cerebellar Neuronal Circuitry: A New Hypothesis. - Anton Spanne; Henrik Jörntell (PLoS Comput. Biol., 2013)

Synergy Control in Subcortical Circuitry: Insights from Neurophysiology. - Henrik Jörntell (Human and Robot Hands, 2016)

Large-Area Soft e-Skin: The Challenges Beyond Sensor Designs. - Ravinder Dahiya; Nivasan Yogeswaran; Fengyuan Liu; Libu Manjakkal; Etienne Burdet; Vincent Hayward; Henrik Jörntell (Proc. IEEE, 2019)

Cuneate spiking neural network learning to classify naturalistic texture stimuli under varying sensing conditions. - Udaya Bhaskar Rongala; Alberto Mazzoni; Anton Spanne; Henrik Jörntell; Calogero M. Oddo (Neural Networks, 2020)

Rich dynamics caused by known biological brain network features resulting in stateful networks. - Udaya Bhaskar Rongala; Henrik Jörntell (CoRR, 2021)

What Neurons Do - and Don't Do. - Martin Nilsson 001; Henrik Jörntell (ERCIM News, 2021)

A Non-spiking Neuron Model With Dynamic Leak to Avoid Instability in Recurrent Networks. - Udaya Bhaskar Rongala; Jonas M. D. Enander; Matthias Kohler; Gerald E. Loeb; Henrik Jörntell (Frontiers Comput. Neurosci., 2021)

Dynamic neuronal networks efficiently achieve classification in robotic interactions with real-world objects. - Pakorn Uttayopas; Xiaoxiao Cheng; Udaya Bhaskar Rongala; Henrik Jörntell; Etienne Burdet (CoRR, 2022)

Whole Body Coordination for Self-Assistance in Locomotion. - André Seyfarth; Guoping Zhao; Henrik Jörntell (Frontiers Neurorobotics, 2022)

The Bcm rule allows a spinal cord model to learn rhythmic movements. - Matthias Kohler; Florian Röhrbein; Alois Knoll; Alin Albu-Schäffer; Henrik Jörntell (Biol. Cybern., 2023)

A Foundational Theory for Decentralized Sensory Learning. - Linus Mårtensson; Jonas M. D. Enander; Udaya B. Rongala; Henrik Jörntell (CoRR, 2025)