Samuel Muscinelli
Postdoctoral researcher
Center for Theoretical Neuroscience, Columbia University, New York (NY)
Publications
- 2023 S. P. Muscinelli, M. Wagner and A. Litwin-Kumar, Optimal routing to cerebellum-like structures. Nature Neuroscience 26, 1630–1641.
- 2023 M. Xie, S. P. Muscinelli, K. D. Harris and A. Litwin-Kumar, Task-dependent optimal representations for cerebellar learning. eLife 12:e82914.
- 2021 V. Esmaeili*, K. Tamura*, S. P. Muscinelli, A. Modirshanechi, M. Boscaglia, A. B. Lee, A. Oryshchuk, G. Foustoukos, Y. Liu, S. Crochet, W. Gerstner and C. C. H. Petersen, Rapid suppression and sustained activation ofdistinct cortical regions for a delayed sensory-triggered motor response. Neuron, 109, 1-19.
- 2019 S. P. Muscinelli, W. Gerstner and T. Schwalger, How single neuron properties shape chaotic dynamics and signal transmission in random neural networks. PLOS Computational Biology 15(6): e1007122
- 2019 C. Gastaldi, S. P. Muscinelli and W. Gerstner, Optimal stimulation protocol in a bistable synaptic consolidation model. Frontiers in Computational Neuroscience 13, 78
- 2017 S. P. Muscinelli, W. Gerstner and J. Brea, Exponentally long orbits in Hopfield neural networks.
Neural Computation 29(2), 458-484
- 2017 S. P. Muscinelli, W. Gerstner, Long timescale sequence recognition using adaptive neural networks. Conference on Cognitive Computational Neuroscience 2017
- 2016 F. Colombo, S. P. Muscinelli, A. Seeholzer, J. Brea and W. Gerstner.Algorithmic Composition of Melodies with Deep Recurrent Neural Networks1st Conference on Computer Simulation of Musical Creativity,
- 2013 M. Bochicchio, S. P. Muscinelli, Ultraviolet asymptotics of glueball propagators.
Journal of high energy physics 2013 (8), 1-51
Teaching
Education
2013-2018 Ph.D. in Neuroscience @ EPFL, Switzerland
Group of Prof. Wulfram Gerstner.
Thesis title: Slow dynamics in structured neural network models
Winner of the BMI best thesis prize 2018.
2010-2012 M. Sc. in Physics @ Università di Roma "La Sapienza", Italy
Final grade 110-110, cum laude. Average grade 29.0/30.
Specialization in high energy theoretical physics.
2007-2010 B. Sc. in Physics @ Università di Perugia, Italy
Final grade 110-110, cum laude. Average grade 28.7/30.
Ongoing Research
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Learning in the cerebellum and cortico-cerebellar system
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Role of thirst in shaping neural representations
Code