Representing predictability of sequence patterns in a random network with 
short-term plasticity

Chien, Vincent S. C.; Gast, Richard; Maess, Burkhard; Knösche, Thomas R.

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Representing predictability of sequence patterns in a random network with short-term plasticity

Chien, V. S. C., Gast, R., Maess, B., & Knösche, T. R. (2020). Representing predictability of sequence patterns in a random network with short-term plasticity. BMC Neuroscience, 21(Suppl. 1): P101.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-1EAA-5 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-1EAB-4

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Creators:
Chien, Vincent S. C.¹, Author
Gast, Richard^{1, 2}, Author
Maess, Burkhard¹, Author
Knösche, Thomas R.¹, Author

Affiliations:
1Methods and Development Group Brain Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205650
2Methods and Development Group Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634558

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Dates: Published Online: 2020-12-21

Publication Status: Published online

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Title: BMC Neuroscience

Source Genre: Journal

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Publ. Info: BioMed Central

Pages: - Volume / Issue: 21 (Suppl. 1) Sequence Number: P101 Start / End Page: - Identifier: ISSN: 1471-2202
CoNE: https://pure.mpg.de/cone/journals/resource/111000136905018