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William Podlaski
William Podlaski
Champalimaud Research
Bestätigte E-Mail-Adresse bei research.fchampalimaud.org
Titel
Zitiert von
Zitiert von
Jahr
Training deep neural density estimators to identify mechanistic models of neural dynamics
PJ Gonçalves, JM Lueckmann, M Deistler, M Nonnenmacher, K Öcal, ...
elife 9, e56261, 2020
2512020
Mapping the function of neuronal ion channels in model and experiment
WF Podlaski, A Seeholzer, LN Groschner, G Miesenböck, R Ranjan, ...
Elife 6, e22152, 2017
49*2017
Biological credit assignment through dynamic inversion of feedforward networks
WF Podlaski, CK Machens
Advances in Neural Information Processing Systems 33, 2020
232020
High capacity and dynamic accessibility in associative memory networks with context-dependent neuronal and synaptic gating
WF Podlaski, EJ Agnes, TP Vogels
Physical Review X 15 (1), 011057, 2025
9*2025
Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networks
WF Podlaski, CK Machens
Neural Computation 36 (5), 803-857, 2024
62024
Nonlinear computations in spiking neural networks through multiplicative synapses
M Nardin, JW Phillips, WF Podlaski, SW Keemink
Peer Community Journal 1, 2021
52021
Storing overlapping associative memories on latent manifolds in low-rank spiking networks
WF Podlaski, CK Machens
arXiv preprint arXiv:2411.17485, 2024
12024
Three types of remapping with linear decoders: a population-geometric perspective
G Martín-Sánchez, CK Machens, WF Podlaski
bioRxiv, 2025.03. 14.643251, 2025
2025
Channels and circuits: biophysical and network models of neuronal function
W Podlaski
University of Oxford, 2018
2018
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