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Vector strength after Goldberg, Brown, and von Mises: biological and mathematical perspectives.

Biological cybernetics

van Hemmen JL.
PMID: 23982848
Biol Cybern. 2013 Aug;107(4):385-96. doi: 10.1007/s00422-013-0561-7. Epub 2013 Aug 27.

The vector strength, a number between 0 and 1, is a classical notion in biology. It was first used in neurobiology by Goldberg and Brown (J Neurophys 31:639-656, 1969) but dates back at least to von Mises (Phys Z...

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van Hemmen JL. Vector strength after Goldberg, Brown, and von Mises: biological and mathematical perspectives. Biol Cybern. 2013;107(4):385-96doi: 10.1007/s00422-013-0561-7.
van Hemmen, J. L. (2013). Vector strength after Goldberg, Brown, and von Mises: biological and mathematical perspectives. Biological cybernetics, 107(4), 385-96. https://doi.org/10.1007/s00422-013-0561-7
van Hemmen, J Leo. "Vector strength after Goldberg, Brown, and von Mises: biological and mathematical perspectives." Biological cybernetics vol. 107,4 (2013): 385-96. doi: https://doi.org/10.1007/s00422-013-0561-7
van Hemmen JL. Vector strength after Goldberg, Brown, and von Mises: biological and mathematical perspectives. Biol Cybern. 2013 Aug;107(4):385-96. doi: 10.1007/s00422-013-0561-7. Epub 2013 Aug 27. PMID: 23982848.
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Phase response approaches to neural activity models with distributed delay.

Biological cybernetics

Winkler M, Dumont G, Schöll E, Gutkin B.
PMID: 34853889
Biol Cybern. 2021 Dec 02; doi: 10.1007/s00422-021-00910-9. Epub 2021 Dec 02.

In weakly coupled neural oscillator networks describing brain dynamics, the coupling delay is often distributed. We present a theoretical framework to calculate the phase response curve of distributed-delay induced limit cycles with infinite-dimensional phase space. Extending previous works, in...

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Winkler M, Dumont G, Schöll E, et al. Phase response approaches to neural activity models with distributed delay. Biol Cybern. 2021;doi: 10.1007/s00422-021-00910-9.
Winkler, M., Dumont, G., Schöll, E., & Gutkin, B. (2021). Phase response approaches to neural activity models with distributed delay. Biological cybernetics, . https://doi.org/10.1007/s00422-021-00910-9
Winkler, Marius, et al. "Phase response approaches to neural activity models with distributed delay." Biological cybernetics vol. (2021). doi: https://doi.org/10.1007/s00422-021-00910-9
Winkler M, Dumont G, Schöll E, Gutkin B. Phase response approaches to neural activity models with distributed delay. Biol Cybern. 2021 Dec 02; doi: 10.1007/s00422-021-00910-9. Epub 2021 Dec 02. PMID: 34853889.
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Electric signal synchronization as a behavioural strategy to generate social attention in small groups of mormyrid weakly electric fish and a mobile fish robot.

Biological cybernetics

Worm M, Landgraf T, von der Emde G.
PMID: 34398266
Biol Cybern. 2021 Dec;115(6):599-613. doi: 10.1007/s00422-021-00892-8. Epub 2021 Aug 16.

African weakly electric fish communicate at night by constantly emitting and perceiving brief electrical signals (electric organ discharges, EOD) at variable inter-discharge intervals (IDI). While the waveform of single EODs contains information about the sender's identity, the variable IDI...

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Worm M, Landgraf T, von der Emde G. Electric signal synchronization as a behavioural strategy to generate social attention in small groups of mormyrid weakly electric fish and a mobile fish robot. Biol Cybern. 2021;115(6):599-613doi: 10.1007/s00422-021-00892-8.
Worm, M., Landgraf, T., & von der Emde, G. (2021). Electric signal synchronization as a behavioural strategy to generate social attention in small groups of mormyrid weakly electric fish and a mobile fish robot. Biological cybernetics, 115(6), 599-613. https://doi.org/10.1007/s00422-021-00892-8
Worm, Martin, et al. "Electric signal synchronization as a behavioural strategy to generate social attention in small groups of mormyrid weakly electric fish and a mobile fish robot." Biological cybernetics vol. 115,6 (2021): 599-613. doi: https://doi.org/10.1007/s00422-021-00892-8
Worm M, Landgraf T, von der Emde G. Electric signal synchronization as a behavioural strategy to generate social attention in small groups of mormyrid weakly electric fish and a mobile fish robot. Biol Cybern. 2021 Dec;115(6):599-613. doi: 10.1007/s00422-021-00892-8. Epub 2021 Aug 16. PMID: 34398266.
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Steps towards a computational ethology: an automatized, interactive setup to investigate filial imprinting and biological predispositions.

Biological cybernetics

Zanon M, Lemaire BS, Vallortigara G.
PMID: 34272970
Biol Cybern. 2021 Dec;115(6):575-584. doi: 10.1007/s00422-021-00886-6. Epub 2021 Jul 17.

Soon after hatching, the young of precocial species, such as domestic chicks or ducklings, learn to recognize their social partner by simply being exposed to it (imprinting process). Even artificial objects or stimuli displayed on monitor screens can effectively...

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Zanon M, Lemaire BS, Vallortigara G. Steps towards a computational ethology: an automatized, interactive setup to investigate filial imprinting and biological predispositions. Biol Cybern. 2021;115(6):575-584doi: 10.1007/s00422-021-00886-6.
Zanon, M., Lemaire, B. S., & Vallortigara, G. (2021). Steps towards a computational ethology: an automatized, interactive setup to investigate filial imprinting and biological predispositions. Biological cybernetics, 115(6), 575-584. https://doi.org/10.1007/s00422-021-00886-6
Zanon, Mirko, et al. "Steps towards a computational ethology: an automatized, interactive setup to investigate filial imprinting and biological predispositions." Biological cybernetics vol. 115,6 (2021): 575-584. doi: https://doi.org/10.1007/s00422-021-00886-6
Zanon M, Lemaire BS, Vallortigara G. Steps towards a computational ethology: an automatized, interactive setup to investigate filial imprinting and biological predispositions. Biol Cybern. 2021 Dec;115(6):575-584. doi: 10.1007/s00422-021-00886-6. Epub 2021 Jul 17. PMID: 34272970.
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Geodesic-based distance reveals nonlinear topological features in neural activity from mouse visual cortex.

Biological cybernetics

Beshkov K, Tiesinga P.
PMID: 34816322
Biol Cybern. 2021 Nov 23; doi: 10.1007/s00422-021-00906-5. Epub 2021 Nov 23.

An increasingly popular approach to the analysis of neural data is to treat activity patterns as being constrained to and sampled from a manifold, which can be characterized by its topology. The persistent homology method identifies the type and...

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Beshkov K, Tiesinga P. Geodesic-based distance reveals nonlinear topological features in neural activity from mouse visual cortex. Biol Cybern. 2021;doi: 10.1007/s00422-021-00906-5.
Beshkov, K., & Tiesinga, P. (2021). Geodesic-based distance reveals nonlinear topological features in neural activity from mouse visual cortex. Biological cybernetics, . https://doi.org/10.1007/s00422-021-00906-5
Beshkov, Kosio, and Tiesinga, Paul. "Geodesic-based distance reveals nonlinear topological features in neural activity from mouse visual cortex." Biological cybernetics vol. (2021). doi: https://doi.org/10.1007/s00422-021-00906-5
Beshkov K, Tiesinga P. Geodesic-based distance reveals nonlinear topological features in neural activity from mouse visual cortex. Biol Cybern. 2021 Nov 23; doi: 10.1007/s00422-021-00906-5. Epub 2021 Nov 23. PMID: 34816322.
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Mathematization of nature: how it is done.

Biological cybernetics

van Hemmen JL.
PMID: 34837542
Biol Cybern. 2021 Dec;115(6):655-664. doi: 10.1007/s00422-021-00914-5.

Natural phenomena can be quantitatively described by means of mathematics, which is actually the only way of doing so. Physics is a convincing example of the mathematization of nature. This paper gives an answer to the question of how...

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van Hemmen JL. Mathematization of nature: how it is done. Biol Cybern. 2021;115(6):655-664doi: 10.1007/s00422-021-00914-5.
van Hemmen, J. L. (2021). Mathematization of nature: how it is done. Biological cybernetics, 115(6), 655-664. https://doi.org/10.1007/s00422-021-00914-5
van Hemmen, J Leo. "Mathematization of nature: how it is done." Biological cybernetics vol. 115,6 (2021): 655-664. doi: https://doi.org/10.1007/s00422-021-00914-5
van Hemmen JL. Mathematization of nature: how it is done. Biol Cybern. 2021 Dec;115(6):655-664. doi: 10.1007/s00422-021-00914-5. PMID: 34837542.
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The creation of phenomena in interactive biorobotics.

Biological cybernetics

Datteri E.
PMID: 34714419
Biol Cybern. 2021 Dec;115(6):629-642. doi: 10.1007/s00422-021-00900-x. Epub 2021 Oct 29.

In so-called interactive biorobotics, robotic models of living systems interact with animals in controlled experimental settings. By observing how the focal animal reacts to the stimuli delivered by the robot, one tests hypotheses concerning the determinants of animal behaviour...

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Datteri E. The creation of phenomena in interactive biorobotics. Biol Cybern. 2021;115(6):629-642doi: 10.1007/s00422-021-00900-x.
Datteri, E. (2021). The creation of phenomena in interactive biorobotics. Biological cybernetics, 115(6), 629-642. https://doi.org/10.1007/s00422-021-00900-x
Datteri, Edoardo. "The creation of phenomena in interactive biorobotics." Biological cybernetics vol. 115,6 (2021): 629-642. doi: https://doi.org/10.1007/s00422-021-00900-x
Datteri E. The creation of phenomena in interactive biorobotics. Biol Cybern. 2021 Dec;115(6):629-642. doi: 10.1007/s00422-021-00900-x. Epub 2021 Oct 29. PMID: 34714419.
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The creation of phenomena in interactive biorobotics.

Biological cybernetics

Datteri E.
PMID: 34714419
Biol Cybern. 2021 Dec;115(6):629-642. doi: 10.1007/s00422-021-00900-x. Epub 2021 Oct 29.

In so-called interactive biorobotics, robotic models of living systems interact with animals in controlled experimental settings. By observing how the focal animal reacts to the stimuli delivered by the robot, one tests hypotheses concerning the determinants of animal behaviour...

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Datteri E. The creation of phenomena in interactive biorobotics. Biol Cybern. 2021;115(6):629-642doi: 10.1007/s00422-021-00900-x.
Datteri, E. (2021). The creation of phenomena in interactive biorobotics. Biological cybernetics, 115(6), 629-642. https://doi.org/10.1007/s00422-021-00900-x
Datteri, Edoardo. "The creation of phenomena in interactive biorobotics." Biological cybernetics vol. 115,6 (2021): 629-642. doi: https://doi.org/10.1007/s00422-021-00900-x
Datteri E. The creation of phenomena in interactive biorobotics. Biol Cybern. 2021 Dec;115(6):629-642. doi: 10.1007/s00422-021-00900-x. Epub 2021 Oct 29. PMID: 34714419; PMCID: PMC8642366.
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Partial directed coherence: twenty years on some history and an appraisal.

Biological cybernetics

Baccalá LA, Sameshima K.
PMID: 34100992
Biol Cybern. 2021 Jun;115(3):195-204. doi: 10.1007/s00422-021-00880-y. Epub 2021 Jun 08.

Here while we reminisce about how partial directed coherence was proposed, its motivation and evolution, we take the opportunity to relate it to some of its kin quantities and some of its offspring. Emphasis is placed on our development...

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Baccalá LA, Sameshima K. Partial directed coherence: twenty years on some history and an appraisal. Biol Cybern. 2021;115(3):195-204doi: 10.1007/s00422-021-00880-y.
Baccalá, L. A., & Sameshima, K. (2021). Partial directed coherence: twenty years on some history and an appraisal. Biological cybernetics, 115(3), 195-204. https://doi.org/10.1007/s00422-021-00880-y
Baccalá, Luiz A, and Sameshima, Koichi. "Partial directed coherence: twenty years on some history and an appraisal." Biological cybernetics vol. 115,3 (2021): 195-204. doi: https://doi.org/10.1007/s00422-021-00880-y
Baccalá LA, Sameshima K. Partial directed coherence: twenty years on some history and an appraisal. Biol Cybern. 2021 Jun;115(3):195-204. doi: 10.1007/s00422-021-00880-y. Epub 2021 Jun 08. PMID: 34100992.
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Comprehensive characterization of oscillatory signatures in a model circuit with PV- and SOM-expressing interneurons.

Biological cybernetics

Ter Wal M, Tiesinga PHE.
PMID: 34628539
Biol Cybern. 2021 Oct;115(5):487-517. doi: 10.1007/s00422-021-00894-6. Epub 2021 Oct 09.

Neural circuits contain a wide variety of interneuron types, which differ in their biophysical properties and connectivity patterns. The two most common interneuron types, parvalbumin-expressing and somatostatin-expressing cells, have been shown to be differentially involved in many cognitive functions....

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Ter Wal M, Tiesinga PHE. Comprehensive characterization of oscillatory signatures in a model circuit with PV- and SOM-expressing interneurons. Biol Cybern. 2021;115(5):487-517doi: 10.1007/s00422-021-00894-6.
Ter Wal, M., & Tiesinga, P. H. E. (2021). Comprehensive characterization of oscillatory signatures in a model circuit with PV- and SOM-expressing interneurons. Biological cybernetics, 115(5), 487-517. https://doi.org/10.1007/s00422-021-00894-6
Ter Wal, Marije, and Tiesinga, Paul H E. "Comprehensive characterization of oscillatory signatures in a model circuit with PV- and SOM-expressing interneurons." Biological cybernetics vol. 115,5 (2021): 487-517. doi: https://doi.org/10.1007/s00422-021-00894-6
Ter Wal M, Tiesinga PHE. Comprehensive characterization of oscillatory signatures in a model circuit with PV- and SOM-expressing interneurons. Biol Cybern. 2021 Oct;115(5):487-517. doi: 10.1007/s00422-021-00894-6. Epub 2021 Oct 09. PMID: 34628539; PMCID: PMC8551150.
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Correction to: Control for multifunctionality: bioinspired control based on feeding in Aplysia californica.

Biological cybernetics

Webster-Wood VA, Gill JP, Thomas PJ, Chiel HJ.
PMID: 33620521
Biol Cybern. 2021 Apr;115(2):191. doi: 10.1007/s00422-021-00865-x.

No abstract available.

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Webster-Wood VA, Gill JP, Thomas PJ, et al. Correction to: Control for multifunctionality: bioinspired control based on feeding in Aplysia californica. Biol Cybern. 2021;115(2):191doi: 10.1007/s00422-021-00865-x.
Webster-Wood, V. A., Gill, J. P., Thomas, P. J., & Chiel, H. J. (2021). Correction to: Control for multifunctionality: bioinspired control based on feeding in Aplysia californica. Biological cybernetics, 115(2), 191. https://doi.org/10.1007/s00422-021-00865-x
Webster-Wood, Victoria A, et al. "Correction to: Control for multifunctionality: bioinspired control based on feeding in Aplysia californica." Biological cybernetics vol. 115,2 (2021): 191. doi: https://doi.org/10.1007/s00422-021-00865-x
Webster-Wood VA, Gill JP, Thomas PJ, Chiel HJ. Correction to: Control for multifunctionality: bioinspired control based on feeding in Aplysia californica. Biol Cybern. 2021 Apr;115(2):191. doi: 10.1007/s00422-021-00865-x. PMID: 33620521.
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Control of multistability in ring circuits of oscillators.

Biological cybernetics

Canavier CC, Baxter DA, Clark JW, Byrne JH.
PMID: 21547616
Biol Cybern. 1999 Feb;80(2):87-102. doi: 10.1007/s004220050507.

The essential dynamics of some biological central pattern generators (CPGs) can be captured by a model consisting of N neurons connected in a ring. These circuits, like many oscillatory nonlinear circuits of sufficient complexity, are capable of multistability, that...

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Canavier CC, Baxter DA, Clark JW, et al. Control of multistability in ring circuits of oscillators. Biol Cybern. 1999;80(2):87-102doi: 10.1007/s004220050507.
Canavier, C. C., Baxter, D. A., Clark, J. W., & Byrne, J. H. (1999). Control of multistability in ring circuits of oscillators. Biological cybernetics, 80(2), 87-102. https://doi.org/10.1007/s004220050507
Canavier, C C, et al. "Control of multistability in ring circuits of oscillators." Biological cybernetics vol. 80,2 (1999): 87-102. doi: https://doi.org/10.1007/s004220050507
Canavier CC, Baxter DA, Clark JW, Byrne JH. Control of multistability in ring circuits of oscillators. Biol Cybern. 1999 Feb;80(2):87-102. doi: 10.1007/s004220050507. PMID: 21547616.
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Showing 1 to 12 of 59 entries