Mate Lengyel, Ph.D.
Affiliations: | Engineering | University of Cambridge, Cambridge, England, United Kingdom |
Area:
computational neuroscienceWebsite:
http://www.eng.cam.ac.uk/~m.lengyelGoogle:
"Mate Lengyel"Mean distance: 13.22 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Peter Erdi | grad student | 2000-2003 | Eötvös Loránd University |
| Peter Dayan | post-doc | UCL |
Children
Sign in to add trainee| Nikon A. Rasumov | grad student | 2008-2011 | Cambridge |
| David GT Barrett | post-doc | Cambridge | |
| Marcelo Gomes Mattar | post-doc | 2016- | Cambridge |
| Yul H R Kang | post-doc | 2018- | Cambridge |
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Publications
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| Gáspár ME, Polack PO, Golshani P, et al. (2019) Representational untangling by the firing rate nonlinearity in V1 simple cells. Elife. 8 |
| Orbán G, Berkes P, Fiser J, et al. (2016) Neural Variability and Sampling-Based Probabilistic Representations in the Visual Cortex. Neuron. 92: 530-543 |
| Yang SC, Lengyel M, Wolpert DM. (2016) Active sensing in the categorization of visual patterns. Elife. 5 |
| Friedrich J, Lengyel M. (2016) Goal-Directed Decision Making with Spiking Neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 1529-46 |
| Yang SCH, Wolpert DM, Lengyel M. (2016) Theoretical perspectives on active sensing Current Opinion in Behavioral Sciences. 11: 100-108 |
| Savin C, Dayan P, Lengyel M. (2014) Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3. Plos Computational Biology. 10: e1003489 |
| Tootoonian S, Lengyel M. (2014) A dual algorithm for olfactory computation in the locust brain Advances in Neural Information Processing Systems. 3: 2276-2284 |
| Hennequin G, Aitchison L, Lengyel M. (2014) Fast sampling-based inference in balanced neuronal networks Advances in Neural Information Processing Systems. 3: 2240-2248 |
| Festa D, Hennequin G, Lengyel M. (2014) Analog memories in a balanced rate-based network of E-I Neurons Advances in Neural Information Processing Systems. 3: 2231-2239 |
| Houlsby NM, Huszár F, Ghassemi MM, et al. (2013) Cognitive tomography reveals complex, task-independent mental representations. Current Biology : Cb. 23: 2169-75 |