Sander W. Keemink

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	Hepsi	2019 yılından bugüne
Alıntılar	437	348
h-endeksi	6	6
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2016201720182019202020212022202320243 28 54 44 49 56 82 54 63

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Katkıda bulunan yazarlar

Mark van RossumUniversity of Nottinghamnottingham.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Scott C. LowePostdoctoral Research Fellow, Vector Institutevectorinstitute.ai üzerinde doğrulanmış e-posta adresine sahip
Janelle M.P. PakanProfessor, Leibniz Institute for Neurobiology, Otto-von-Guericke Universitymed.ovgu.de üzerinde doğrulanmış e-posta adresine sahip
Nathalie RochefortUniversity of Edinburghed.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Stephen P CurriePost Doc, University of Edinburghed.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Christian MachensChampalimaud Neuroscience Programme, Champalimaud Foundationneuro.fchampalimaud.org üzerinde doğrulanmış e-posta adresine sahip
Pablo LanillosAssistant Professor at Donders Institute for Brain, Cognition and Behaviour, Radboud Universitydonders.ru.nl üzerinde doğrulanmış e-posta adresine sahip
Allan MancooChampalimaud Research, Ecole Normale Superieureneuro.fchampalimaud.org üzerinde doğrulanmış e-posta adresine sahip
Michele NardinHHMI Janelia Research Campusjanelia.hhmi.org üzerinde doğrulanmış e-posta adresine sahip
William PodlaskiChampalimaud Researchresearch.fchampalimaud.org üzerinde doğrulanmış e-posta adresine sahip
Dharmesh TailorUniversity of Amsterdamuva.nl üzerinde doğrulanmış e-posta adresine sahip
Johannes TextorData Science Section, Institute for Computing and Information Sciences, Radboud University, Nijmegenradboudumc.nl üzerinde doğrulanmış e-posta adresine sahip
Mahyar ShahsavariRadboud University, Donders Intitute of Brain and Cognition, Artificial Intelligence Departmentdonders.ru.nl üzerinde doğrulanmış e-posta adresine sahip
Evelyn Dylda

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Sander W. Keemink

Assistant Professor at AI department, Donders Institute for Brain, Cognition and Behaviour

donders.ru.nl üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Computational Neuroscience and AI


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Behavioral-state modulation of inhibition is context-dependent and cell type specific in mouse visual cortex JMP Pakan, SC Lowe, E Dylda, SW Keemink, SP Currie, CA Coutts, ... Elife 5, e14985, 2016	266	2016
FISSA: A neuropil decontamination toolbox for calcium imaging signals SW Keemink, SC Lowe, JMP Pakan, E Dylda, MCW Van Rossum, ... Scientific reports 8 (1), 3493, 2018	80	2018
Decoding and encoding (de) mixed population responses SW Keemink, CK Machens Current Opinion in Neurobiology 58, 112-121, 2019	31	2019
Understanding spiking networks through convex optimization A Mancoo, S Keemink, CK Machens Advances in neural information processing systems 33, 8824-8835, 2020	19	2020
A unified account of tilt illusions, association fields, and contour detection based on elastica SW Keemink, MCW van Rossum Vision research 126, 164-173, 2016	13	2016
Closed-form control with spike coding networks FS Slijkhuis, SW Keemink, P Lanillos IEEE Transactions on Cognitive and Developmental Systems, 2023	12	2023
Effects of V1 surround modulation tuning on visual saliency and the tilt illusion SW Keemink, C Boucsein, MCW van Rossum Journal of Neurophysiology 120 (3), 942-952, 2018	5	2018
Nonlinear computations in spiking neural networks through multiplicative synapses M Nardin, JW Phillips, WF Podlaski, SW Keemink Peer Community Journal 1, 2021	4	2021
Unconscious biases in neural populations coding multiple stimuli SW Keemink, DV Tailor, MCW van Rossum Neural Computation 30 (12), 3168-3188, 2018	2	2018
Biases in multivariate neural population codes SW Keemink, MCW van Rossum bioRxiv, 113803, 2017	2	2017
Mimicking synaptic plasticity in memristive neuromorphic systems SW Keemink	2	2012
Correction: Behavioral-state modulation of inhibition is context-dependent and cell type specific in mouse visual cortex JMP Pakan, SC Lowe, E Dylda, SW Keemink, SP Currie, CA Coutts, ... Elife 6, e31708, 2017	1	2017
Discovering Dynamic Symbolic Policies with Genetic Programming S de Vries, S Keemink, M van Gerven arXiv preprint arXiv:2406.02765, 2024		2024
Perturbation-based Learning for Recurrent Neural Networks JG Fernandez, S Keemink, M van Gerven arXiv preprint arXiv:2405.08967, 2024		2024
Gradient-Free Training of Recurrent Neural Networks using Random Perturbations JG Fernández, S Keemink, M van Gerven arXiv preprint arXiv:2405.08967, 2024		2024
Perturbation-based Learning for Recurrent Neural Networks J Garcia Fernandez, S Keemink, M van Gerven arXiv e-prints, arXiv: 2405.08967, 2024		2024
Biases in population codes with a few active neurons SW Keemink, MCW van Rossum bioRxiv, 2024.09. 20.614069, 2024		2024
Gradient-free training of recurrent neural networks using random perturbations J García Fernández, SW Keemink, MAJ van Gerven		2024
Context-dependence of deterministic and nondeterministic contributions to closed-loop steering control SW Egger, SW Keemink, MS Goldman, KH Britten bioRxiv, 2024.07. 26.605325, 2024		2024
Fitting Stochastic Lattice Models Using Approximate Gradients J Schering, S Keemink, J Textor arXiv preprint arXiv:2310.08305, 2023		2023

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