Sander Bohte
Title
Cited by
Cited by
Year
Error-backpropagation in temporally encoded networks of spiking neurons
SM Bohte, JN Kok, H La Poutre
Neurocomputing 48 (1), 17-37, 2002
843*2002
Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks
SM Bohte, H La Poutré, JN Kok
IEEE Transactions on neural networks 13 (2), 426-435, 2002
2492002
Computing with spiking neuron networks
H Paugam-Moisy, S Bohte
Handbook of Natural Computing, 40p. Springer, Heidelberg, 2009
2482009
Artificial neural networks as models of neural information processing
M Van Gerven, S Bohte
Frontiers in Computational Neuroscience 11, 114, 2017
2112017
Method and system for automated marketing of attention area content
L Poutre, J Antonius, SM Bohte, EH Gerding, FW Bomhof, J Jonker, ...
US Patent App. 20,030/018,539, 2002
1582002
Conditional time series forecasting with convolutional neural networks
A Borovykh, S Bohte, CW Oosterlee
arXiv preprint arXiv:1703.04691, 2017
1502017
The evidence for neural information processing with precise spike-times: A survey
SM Bohte
Natural Computing 3 (2), 195-206, 2004
1422004
Adaptive resource allocation for efficient patient scheduling
IB Vermeulen, SM Bohte, SG Elkhuizen, H Lameris, PJM Bakker, ...
Artificial intelligence in medicine 46 (1), 67-80, 2009
1342009
Spiking neural networks
SM Bohte
Leiden University, 2003
752003
The effects of pair-wise and higher-order correlations on the firing rate of a postsynaptic neuron
SM Bohté, H Spekreijse, PR Roelfsema
Neural Computation 12 (1), 153-179, 2000
632000
Spiking neural networks: Principles and challenges.
A Grüning, SM Bohte
ESANN, 2014
612014
Market-based recommendation: Agents that compete for consumer attention
SM Bohte, E Gerding, HL Poutré
ACM Transactions on Internet Technology (TOIT) 4 (4), 420-448, 2004
532004
Multi-agent Pareto appointment exchanging in hospital patient scheduling
I Vermeulen, S Bohte, K Somefun, H La Poutré
Service Oriented Computing and Applications 1 (3), 185-196, 2007
492007
How attention can create synaptic tags for the learning of working memories in sequential tasks
JO Rombouts, SM Bohte, PR Roelfsema
PLoS Comput Biol 11 (3), e1004060, 2015
472015
Reducing the Variability of Neural Responses: A Computational Theory of Spike-Timing-Dependent Plasticity
S Bohte, M Mozer
Neural Computation 19 (2), 371-403, 2007
442007
Automated negotiation and bundling of information goods
DJA Somefun, EH Gerding, S Bohte, JA La Poutré
International Workshop on Agent-Mediated Electronic Commerce, 1-17, 2003
422003
Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity
S Bohte, M Mozer
Advances in Neural Information Processing Systems (NIPS) 17, 201--208, 2004
402004
Special Issue on Applications of Spiking Neural Networks
SM Bohte, JN Kok
Information Processing Letters 95 (6), 2005
392005
Handbook of natural computing
H Paugam-Moisy, SM Bohte
chap. Computing with Spiking Neuron Networks). Springer Verlag.((to appear)), 2009
342009
Pricing options and computing implied volatilities using neural networks
S Liu, CW Oosterlee, SM Bohte
Risks 7 (1), 16, 2019
302019
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