Henrik Anders Lindén

Henrik Anders Lindén

Guest researcher

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    1. Published

      Intrinsic dendritic filtering gives low-pass power spectra of local field potentials

      Lindén, Henrik Anders, Pettersen, K. H. & Einevoll, G. T., Dec 2010, In: Journal of Computational Neuroscience. 29, 3, p. 423-44 22 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    2. Published

      Movement is governed by rotational neural dynamics in spinal motor networks

      Lindén, Henrik Anders, Petersen, Peter C., Vestergaard, M. & Berg, Rune W., 2022, In: Nature. 610, p. 526-531 6 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    3. Published

      Why Firing Rate Distributions Are Important for Understanding Spinal Central Pattern Generators

      Lindén, Henrik Anders & Berg, Rune W., 2021, In: Frontiers in Human Neuroscience. 15, 10 p., 719388.

      Research output: Contribution to journalJournal articleResearchpeer-review

    4. Published

      Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models

      Mazzoni, A., Lindén, Henrik Anders, Cuntz, H., Lansner, A., Panzeri, S. & Einevoll, G. T., Dec 2015, In: PLoS Computational Biology. 11, 12, p. 1-38 38 p., e1004584.

      Research output: Contribution to journalJournal articleResearchpeer-review

    5. Published

      Power laws from linear neuronal cable theory: power spectral densities of the soma potential, soma membrane current and single-neuron contribution to the EEG

      Pettersen, K. H., Lindén, Henrik Anders, Tetzlaff, T. & Einevoll, G. T., Nov 2014, In: PLoS Computational Biology. 10, 11, p. 1-26 26 p., e1003928.

      Research output: Contribution to journalJournal articleResearchpeer-review

    6. Published

      Decoupling of timescales reveals sparse convergent CPG network in the adult spinal cord

      Radosevic, M., Willumsen, A., Petersen, Peter C., Lindén, Henrik Anders, Vestergaard, M. & Berg, Rune W., 2019, In: Nature Communications. 10, 14 p., 2937.

      Research output: Contribution to journalJournal articleResearchpeer-review

    7. Published

      Spike-Based Bayesian-Hebbian Learning of Temporal Sequences

      Tully, P. J., Lindén, Henrik Anders, Hennig, M. H. & Lansner, A., May 2016, In: PLoS Computational Biology. 12, 5, 35 p., e1004954.

      Research output: Contribution to journalJournal articleResearchpeer-review

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