Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Christian Machens"'
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Akademický článek
Striatal dynamics explain duration judgments
Autor: Thiago S Gouvêa, Tiago Monteiro, Asma Motiwala, Sofia Soares, Christian Machens, Joseph J Paton
Publikováno v: eLife, Vol 4 (2015)
The striatum is an input structure of the basal ganglia implicated in several time-dependent functions including reinforcement learning, decision making, and interval timing. To determine whether striatal ensembles drive subjects' judgments of durati
Externí odkaz: https://doaj.org/article/42582596b6834000b1de836cd8b4ab12
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2
Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules
Autor: Alireza Alemi, Christian Machens, Sophie Deneve, Jean-Jacques Slotine
Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence. 32
The brain uses spikes in neural circuits to perform many dynamical computations. The computations are performed with properties such as spiking efficiency, i.e. minimal number of spikes, and robustness to noise. A major obstacle for learning computat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6c807ae824399a8bf5f588eb5ba17fbd
https://doi.org/10.1609/aaai.v32i1.11320
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6
Linear readout from a neural population with partial correlation data
Autor: Wohrer, A., Romo, R., Christian Machens
Publikováno v: CIÊNCIAVITAE
Neural Information Processing Systems (NIPS) 2010
Neural Information Processing Systems (NIPS) 2010, Dec 2010, Vancouver, Canada
Scopus-Elsevier
International audience; How much information does a neural population convey about a stimulus? Answers to this question are known to strongly depend on the correlation of response variability in neural populations. These noise correlations, however,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7ee4a52be8f0ff33a5e7f4cd0e704caf
http://www.scopus.com/inward/record.url?eid=2-s2.0-84860609377&partnerID=MN8TOARS
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9
On the interpretation of higher-order principal components
Autor: Mancoo, Allan
Publikováno v: Neuroscience. Université Paris sciences et lettres, 2021. English. ⟨NNT : 2021UPSLE015⟩
Large-scale recordings of neural activity are now widely carried out in many experimental labs, leading to the question of how to extract the essential structures in population data. One common approach is to use dimensionality reduction methods. How
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1398::c12d80ac589670f983493cca0befe2de
https://tel.archives-ouvertes.fr/tel-03764952
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10
L'apprentissage d'une représentation efficace du signal dans des réseaux à codage parcimonieux de potentiel d'action
Autor: Maraš, Mirjana
Publikováno v: Neurons and Cognition [q-bio.NC]. Université Paris sciences et lettres, 2019. English. ⟨NNT : 2019PSLEE023⟩
The complexity of sensory input is paralleled by the complexity of its representation in the neural activity of biological systems. Starting from the hypothesis that biological networks are tuned to achieve maximal efficiency and robustness, we inves
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::1cbec96d4d26a1d9a951861d972714a0
https://tel.archives-ouvertes.fr/tel-02613525
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