| 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 | 11 | 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 |
| Gradient-free training of recurrent neural networks using random perturbations JG Fernández, S Keemink, M van Gerven Frontiers in Neuroscience 18, 1439155, 2024 | | 2024 |
| 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 |
| 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 |
Mark van RossumUniversity of NottinghamVerified email at nottingham.ac.uk
