Sander M. Bohte

Sander M. Bohte, Han La Poutré, D. J. A. Somefun, 2006, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06).

Depth in convolutional neural networks solves scene segmentation

Sander M. Bohte, Noor Seijdel, Nikos Tsakmakidis, 2020, PLoS computational biology.

Foresighted policy gradient reinforcement learning

Sander M. Bohte, J. A. La Poutré, Pieter Jan't Hoen, 2008 .

Pricing options and computing implied volatilities using neural networks pdf

Sander M. Bohte, Cornelis W. Oosterlee, Shuaiqiang Liu, 2019, Risks.

Spiking Neural Networks

Sander M. Bohte, S. Bohté, 2003 .

Gating out sensory noise in a spike-based Long Short-Term Memory network

Sander M. Bohte, Davide Zambrano, Roeland Nusselder, 2018 .

Unsupervised classification of complex clusters in networks of spiking neurons

Sander M. Bohte, Joost N. Kok, Han La Poutré, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

An image representation based convolutional network for DNA classification pdf

Sander M. Bohte, Alexander Schönhuth, Marleen Balvert, 2018, ICLR.

A Biologically Plausible Learning Rule for Deep Learning in the Brain pdf

Pieter R. Roelfsema, Sander M. Bohte, Isabella Pozzi, 2018, ArXiv.

Spiking Neural Networks: Principles and Challenges

Sander M. Bohte, André Grüning, S. Bohté, 2014, ESANN.

Neurally Plausible Reinforcement Learning of Working Memory Tasks

Pieter R. Roelfsema, Sander M. Bohte, Jaldert O. Rombouts, 2012, NIPS.

Improving Patient Schedules by Multi-agent Pareto Appointment Exchanging

Sander M. Bohte, Johannes A. La Poutre, D. J. A. Somefun, 2006 .

Deep predictive coding accounts for emergence of complex neural response properties along the visual cortical hierarchy

Sander M. Bohte, Shirin Dora, Cyriel M. A. Pennartz, 2020, bioRxiv.

Applications of spiking neural networks

Sander M. Bohte, Joost N. Kok, S. Bohté, 2005, Inf. Process. Lett..

Multi-agent Pareto appointment exchanging in hospital patient scheduling

Sander M. Bohte, Han La Poutré, Koye Somefun, 2007, Service Oriented Computing and Applications.

Competitive market-based allocation of consumer attention space

Sander M. Bohte, Enrico Gerding, Han La Poutré, 2001, EC '01.

Learning to Recall

Pieter R. Roelfsema, Sander M. Bohte, Jaldert O. Rombouts, 2012, ERCIM News.

Adaptive Patient Scheduling with Dynamic Resource Usage

Sander M. Bohte, Han La Poutré, Ivan B. Vermeulen, 2007, ERCIM News.

Market-based recommendation: Agents that compete for consumer attention

Sander M. Bohte, Enrico H. Gerding, Han La Poutré, 2004, ACM Trans. Internet Techn..

Automated Negotiation and Bundling of Information Goods

Sander M. Bohte, Enrico Gerding, Han La Poutré, 2003, AMEC.

Learning from induced changes in opponent (re)actions in multi-agent games

Sander M. Bohte, Han La Poutré, Pieter Jan't Hoen, 2006, AAMAS '06.

Multiple timescale Continuous-time Coding with Spiking Neurons

Sander M. Bohte, Jaldert O. Rombouts, S. Bohté, 2010 .

Editorial: Artificial Neural Networks as Models of Neural Information Processing

Sander M. Bohte, Marcel van Gerven, S. Bohté, 2017, Front. Comput. Neurosci..

A Deep Predictive Coding Network for Inferring Hierarchical Causes Underlying Sensory Inputs

Sander M. Bohte, Cyriel M. A. Pennartz, Shirin Dora, 2018, ICANN.

Biologically Plausible Multi-dimensional Reinforcement Learning in Neural Networks

Pieter R. Roelfsema, Sander M. Bohte, Arjen van Ooyen, 2012, ICANN.

Analyzing data from sponsored search markets from an agent-based and complex systems perspective

Sander M. Bohte, Valentin Robu, Han La Poutré, 2009 .

Nonparametric classification with polynomial MPMC cascades

Markus Breitenbach, Gregory Z. Grudic, Sander M. Bohte, 2004, ICML '04.

Reducing the Variability of Neural Responses: A Computational Theory of Spike-Timing-Dependent Plasticity

Sander M. Bohte, Michael C. Mozer, M. Mozer, 2007, Neural Computation.

A Deep Predictive Coding Network for Learning Latent Representations

Sander M. Bohte, Cyriel M. A. Pennartz, Shirin Dora, 2018 .

Spiking AGREL

Sander M. Bohte, Cecilia Laschi, Davide Zambrano, 2014, ESANN.

Gating Sensory Noise in a Spiking Subtractive LSTM

Sander M. Bohte, Davide Zambrano, Roeland Nusselder, 2018, ICANN.

MuPNet: Multi-modal Predictive Coding Network for Place Recognition by Unsupervised Learning of Joint Visuo-Tactile Latent Representations pdf

Sander M. Bohte, Kshitij Tiwari, Shirin Dora, 2019, ArXiv.

LocalNorm: Robust Image Classification through Dynamically Regularized Normalization pdf

Henk Corporaal, Sander M. Bohte, Siebren Schaafsma, 2019, ICANN.

Learning in spike-time encoded neural networks

Sander M. Bohte, J. N. Kok, la J.A. Poutré, 2001 .

Computing with Spiking Neuron Networks

Sander M. Bohte, Hélène Paugam-Moisy, S. Bohté, 2012, Handbook of Natural Computing.

Modeling efficient conjunction detection with spiking neural networks

Sander M. Bohte, Joost N. Kok, Han La Poutré, 2002, ESANN.

Continuous-Time Spike-Based Reinforcement Learning for Working Memory Tasks

Sander M. Bohte, Davide Zambrano, Marios Karamanis, 2018, ICANN.

Optimization of Online Patient Scheduling with Urgencies and Preferences

Peter A. N. Bosman, Sander M. Bohte, Piet J. M. Bakker, 2009, AIME.

Visual pathways from the perspective of cost functions and multi-task deep neural networks

Sander M. Bohte, H. Steven Scholte, Kandan Ramakrishnan, 2017, Cortex.

Deep Predictive Coding Models of Sensory Information Processing in the Brain

Sander M. Bohte, Cyriel M. A. Pennartz, Shirin Dora, 2018 .

Emergent intelligence in competitive multi-agent systems

Sander M. Bohte, Ja Han La Poutré, 2006 .

Implicit Scene Segmentation in Deeper Convolutional Neural Networks

Sander M. Bohte, Steven Scholte, Noor Seijdel, 2019 .

Efficient forward propagation of time-sequences in convolutional neural networks using Deep Shifting pdf

Sander M. Bohte, Koen Groenland, 2016, ArXiv.

Foresighted policy gradient reinforcement learning: solving large-scale social dilemmas with rational altruistic punishment

Sander M. Bohte, Johannes A. La Poutre, J. A. Poutré, 2008 .

Linear Time Nonparametric Classification and Feature Selection with Polynomial MPMC Cascades for Large Datasets ; CU-CS-977-04

Markus Breitenbach, Gregory Z. Grudic, Sander M. Bohte, 2004 .

Error-backpropagation in temporally encoded networks of spiking neurons

Sander M. Bohte, Joost N. Kok, Han La Poutré, 2000, Neurocomputing.

Fractionally Predictive Spiking Neurons

Sander M. Bohte, Jaldert O. Rombouts, S. Bohté, 2010, NIPS.

Modern Machine Learning: More with Less, Cheaper and Better

Sander M. Bohte, Hung Son Nguyen, S. Bohté, 2016, ERCIM News.

Decentralized Online Scheduling of Combination-Appointments in Hospitals

Sander M. Bohte, Piet J. M. Bakker, Han La Poutré, 2008, ICAPS.

Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks pdf

Sander M. Bohte, Davide Zambrano, S. Bohté, 2016, ArXiv.

Spatial Attention introduces Behavioral Trade-off in a Large-Scale Spiking Neural Network

Sander M. Bohte, Davide Zambrano, H. Steven Scholte, 2019 .

The Effects of Pair-wise and Higher-order Correlations on the Firing Rate of a Postsynaptic Neuron

Pieter R. Roelfsema, Sander M. Bohte, Henk Spekreijse, 1998, Neural Computation.

On the Data-Driven COS Method

Sander M. Bohte, Luis Ortiz-Gracia, Cornelis W. Oosterlee, 2017, Appl. Math. Comput..

Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity

Sander M. Bohte, Michael C. Mozer, M. Mozer, 2004, BNAIC.

Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks

Sander M. Bohte, Joost N. Kok, Han La Poutré, 2002, IEEE Trans. Neural Networks.

Flexible working memory through selective gating and attentional tagging

Pieter R. Roelfsema, Sander M. Bohte, Christian N. L. Olivers, 2019, bioRxiv.

How Attention Can Create Synaptic Tags for the Learning of Working Memories in Sequential Tasks

Pieter R. Roelfsema, Sander M. Bohte, Jaldert O. Rombouts, 2015, PLoS Comput. Biol..

Method and system for automated marketing of attention area content, joint patent by CWI and KPN

Sander M. Bohte, la J.A. Poutré, E. H. Gerding, 2004 .

Special track on neurocomputing & deep learning and continuos-time computing (NC&DLCC)

Stefan Ulbrich, Sander M. Bohte, Cecilia Laschi, 2016 .

Computational Intelligence and Multi-Agent Systems

Sander M. Bohte, Han La Poutré, S. Bohté, 2007 .

COllective INtelligence with sequences of actions

Sander M. Bohte, P. J. 'tHoen, 2003 .

The Complex Dynamics of Sponsored Search Markets

Sander M. Bohte, Valentin Robu, Han La Poutré, 2009, ADMI.

SpikeProp: backpropagation for networks of spiking neurons

Sander M. Bohte, Joost N. Kok, Han La Poutré, 2000, ESANN.

Strategic Foresighted Learning in Competitive Multi-Agent Games

Sander M. Bohte, Han La Poutré, Pieter Jan't Hoen, 2006, ECAI.

Adaptive resource allocation for efficient patient scheduling

Sander M. Bohte, Piet J. M. Bakker, Han La Poutré, 2009, Artif. Intell. Medicine.

An Extensible Agent Architecture for a Competitive Market-Based Allocation of Consumer Attention Space

Sander M. Bohte, Enrico Gerding, Han La Poutré, 2002, AMEC.

Action-Reaction in Multi-Agent Games

Sander M. Bohte, Han La Poutré, Pieter Jan't Hoen, 2005, EUMAS.

Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy

Sander M. Bohte, Cyriel M. A. Pennartz, Shirin Dora, 2021, Frontiers in Computational Neuroscience.

Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time pdf

Sander M. Bohte, Federico Corradi, Bojian Yin, 2021, ArXiv.

Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

Sander M. Bohte, Federico Corradi, Bojian Yin, 2021, Nature Machine Intelligence.

A learning rule that explains how rewards teach attention

Pieter R. Roelfsema, Sander M. Bohte, Julio C. Martinez-Trujillo, 2015 .

Real Neurons Spike

Sander M. Bohte, S. Bohté, 2003 .

COllective INtelligence with Task Assignment Coordinating choices in Multi-Agent Systems

Sander M. Bohte, Pieter Jan’t Hoen, 2003 .