Morphology-dependent Computation
Morphology-Dependent Computation is a computational principle in which the specific structural form of neuronal dendritic arbors functionally constrains and actively shapes information processing dynamics, distinguishing it from models that treat neural computation as abstract or structure-independent.
23
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1.4K
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75
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61
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2017–2026
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Rosemary Varley, Nicolai Klessinger, C.A.J. Romanowski et al. · Proceedings of the National Academy of Sciences · 2005 · 288 citations · Full text
Pre-neuronal morphological processing of object location by individual whiskers
Knarik Bagdasarian, Marcin Szwed, Per Magne Knutsen et al. · Nature Neuroscience · 2013 · 101 citations · Full text
Dynamic compartmental computations in tuft dendrites of layer 5 neurons during motor behavior
Yara Otor, Shay Achvat, Nathan Cermak et al. · Science · 2022 · 67 citations
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Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
8 publications
570 citations
University of California San Diego
San Diego, United States
2 h-index
2 publications
111 citations
Max Planck Institute for Mathematics in the Sciences
Leipzig, Germany
2 h-index
5 publications
171 citations

Santa Fe Institute
Santa Fe, United States
2 h-index
3 publications
97 citations

Universitat Autònoma de Barcelona
Cerdanyola del Vallès, Spain
1 h-index
1 publications
30 citations
Japan Science and Technology Agency
Tokyo, Japan
1 h-index
2 publications
82 citations
University of Sheffield
Sheffield, United Kingdom
1 h-index
4 publications
1.2K citations
Foundation for Research and Technology Hellas
Heraklion, Greece
1 h-index
3 publications
42 citations
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3 publications · 114 citations
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2 publications · 76 citations
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2 publications · 71 citations
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1 publications · 186 citations
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1 publications · 24 citations
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