Sander M. Bohté

108 papers A* 5A 2B 10C 1Journal 65Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Sparse Selective-Update RNNs for Long-Range Sequence Modeling. CoRR Bojian Yin, Shurong Wang, Haoyu Tan, Sander M. Bohté, Federico Corradi, Guoqi Li
2025	J	`jnl`	All Eyes, no IMU: Learning Flight Attitude from Vision Alone. CoRR Jesse J. Hagenaars, Stein Stroobants, Sander M. Bohté, Guido C. H. E. de Croon
2025	B	`conf`	Curriculum Design for Scalable Biologically Plausible Deep Reinforcement Learning. IJCNN Alexandra R. Van Den Berg, Pieter R. Roelfsema, Sander M. Bohté
2025	J	`jnl`	Energy optimization induces predictive-coding properties in a multi-compartment spiking neural network model. PLoS Comput. Biol. Mingfang Zhang, Raluca Chitic, Sander M. Bohté
2025	—	`conf`	Uncertainty-Aware Spiking Neural Networks for Regression. ICONS Tao Sun, Sander M. Bohté
2024	J	`jnl`	Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression. CoRR Tao Sun, Sander M. Bohté
2024	A*	`conf`	Balanced Resonate-and-Fire Neurons. ICML Saya Higuchi, Sebastian Kairat, Sander M. Bohté, Sebastian Otte
2024	J	`jnl`	Balanced Resonate-and-Fire Neurons. CoRR Saya Higuchi, Sebastian Kairat, Sander M. Bohté, Sebastian Otte
2024	J	`jnl`	DPSNN: Spiking Neural Network for Low-Latency Streaming Speech Enhancement. CoRR Tao Sun, Sander M. Bohté
2024	J	`jnl`	DPSNN: spiking neural network for low-latency streaming speech enhancement. Neuromorph. Comput. Eng. Tao Sun, Sander M. Bohté
2024	—	`conf`	Masked Image Modeling as a Framework for Self-Supervised Learning Across Eye Movements. ICANN (4) Robin Weiler, Matthias Brucklacher, Cyriel M. A. Pennartz, Sander M. Bohté
2024	J	`jnl`	Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements. CoRR Robin Weiler, Matthias Brucklacher, Cyriel M. A. Pennartz, Sander M. Bohté
2024	J	`jnl`	Predictive coding with spiking neurons and feedforward gist signaling. Frontiers Comput. Neurosci. Kwangjun Lee, Shirin Dora, Jorge F. Mejías, Sander M. Bohté, Cyriel M. A. Pennartz
2024	J	`jnl`	Recurrent neural networks that learn multi-step visual routines with reinforcement learning. PLoS Comput. Biol. Sami Mollard, Catherine Wacongne, Sander M. Bohté, Pieter R. Roelfsema
2024	J	`jnl`	The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification. CoRR Nikolaj Takata Mücke, Sander M. Bohté, Cornelis W. Oosterlee
2024	J	`jnl`	Understanding the Convergence in Balanced Resonate-and-Fire Neurons. CoRR Saya Higuchi, Sander M. Bohté, Sebastian Otte
2023	J	`jnl`	A Probabilistic Digital Twin for Leak Localization in Water Distribution Networks Using Generative Deep Learning. Sensors Nikolaj Takata Mücke, Prerna Pandey, Shashi Jain, Sander M. Bohté, Cornelis W. Oosterlee
2023	J	`jnl`	Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. Nat. Mac. Intell. Bojian Yin, Federico Corradi, Sander M. Bohté
2023	—	`conf`	Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout. ICANN (1) Tao Sun, Bojian Yin, Sander M. Bohté
2023	J	`jnl`	Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout. CoRR Tao Sun, Bojian Yin, Sander M. Bohté
2023	J	`jnl`	Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception. Frontiers Comput. Neurosci. Matthias Brucklacher, Sander M. Bohté, Jorge F. Mejías, Cyriel M. A. Pennartz
2023	J	`jnl`	Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications. Comput. Math. Appl. Nikolaj Takata Mücke, Benjamin Sanderse, Sander M. Bohté, Cornelis W. Oosterlee
2023	J	`jnl`	Mechanisms of human dynamic object recognition revealed by sequential deep neural networks. PLoS Comput. Biol. Lynn K. A. Sörensen, Sander M. Bohté, Dorina De Jong, Heleen A. Slagter, H. Steven Scholte
2023	J	`jnl`	NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, P. Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
2022	—	`conf`	A Taxonomy of Recurrent Learning Rules. ICANN (1) Guillermo Martín-Sánchez, Sander M. Bohté, Sebastian Otte
2022	J	`jnl`	A Taxonomy of Recurrent Learning Rules. CoRR Guillermo Martín-Sánchez, Sander M. Bohté, Sebastian Otte
2022	J	`jnl`	Arousal state affects perceptual decision-making by modulating hierarchical sensory processing in a large-scale visual system model. PLoS Comput. Biol. Lynn K. A. Sörensen, Sander M. Bohté, Heleen A. Slagter, H. Steven Scholte
2022	—	`conf`	Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting. ICONS Bojian Yin, Qinghai Guo, Federico Corradi, Sander M. Bohté
2022	J	`jnl`	Leveraging Spiking Deep Neural Networks to Understand the Neural Mechanisms Underlying Selective Attention. J. Cogn. Neurosci. Lynn K. A. Sörensen, Davide Zambrano, Heleen A. Slagter, Sander M. Bohté, H. Steven Scholte
2022	B	`conf`	Real-time classification of LIDAR data using discrete-time Recurrent Spiking Neural Networks. IJCNN Anca-Diana Vicol, Bojian Yin, Sander M. Bohté
2021	J	`jnl`	Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks. CoRR Bojian Yin, Federico Corradi, Sander M. Bohté
2021	J	`jnl`	Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks. Nat. Mach. Intell. Bojian Yin, Federico Corradi, Sander M. Bohté
2021	J	`jnl`	Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. CoRR Bojian Yin, Federico Corradi, Sander M. Bohté
2021	J	`jnl`	Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy. Frontiers Comput. Neurosci. Shirin Dora, Sander M. Bohté, Cyriel M. A. Pennartz
2021	J	`jnl`	Effective and Efficient Spiking Recurrent Neural Networks. ERCIM News Bojian Yin, Federico Corradi, Sander M. Bohté
2021	J	`jnl`	Flexible Working Memory Through Selective Gating and Attentional Tagging. Neural Comput. Wouter Kruijne, Sander M. Bohté, Pieter R. Roelfsema, Christian N. L. Olivers
2021	J	`jnl`	Learning continuous-time working memory tasks with on-policy neural reinforcement learning. Neurocomputing Davide Zambrano, Pieter R. Roelfsema, Sander M. Bohté
2021	—	`conf`	LocalNorm: Robust Image Classification Through Dynamically Regularized Normalization. ICANN (4) Bojian Yin, H. Steven Scholte, Sander M. Bohté
2021	J	`jnl`	Markov Chain Generative Adversarial Neural Networks for Solving Bayesian Inverse Problems in Physics Applications. CoRR Nikolaj Takata Mücke, Benjamin Sanderse, Sander M. Bohté, Cornelis W. Oosterlee
2021	J	`jnl`	Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding. Frontiers Robotics AI Martin J. Pearson, Shirin Dora, Oliver Struckmeier, Thomas C. Knowles, Ben Mitchinson, Kshitij Tiwari, Ville Kyrki, Sander M. Bohté, Cyriel M. A. Pennartz
2021	J	`jnl`	Reduced order modeling for parameterized time-dependent PDEs using spatially and memory aware deep learning. J. Comput. Sci. Nikolaj Takata Mücke, Sander M. Bohté, Cornelis W. Oosterlee
2020	A*	`conf`	Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation. NeurIPS Isabella Pozzi, Sander M. Bohté, Pieter R. Roelfsema
2020	J	`jnl`	Depth in convolutional neural networks solves scene segmentation. PLoS Comput. Biol. Noor Seijdel, Nikos Tsakmakidis, Edward H. F. de Haan, Sander M. Bohté, H. Steven Scholte
2020	—	`conf`	Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks. ICONS Bojian Yin, Federico Corradi, Sander M. Bohté
2020	J	`jnl`	Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks. CoRR Bojian Yin, Federico Corradi, Sander M. Bohté
2020	J	`jnl`	Evolved Neuromorphic Control for High Speed Divergence-Based Landings of MAVs. IEEE Robotics Autom. Lett. Jesse J. Hagenaars, Federico Paredes-Vallés, Sander M. Bohté, Guido C. H. E. de Croon
2020	J	`jnl`	Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs. CoRR Jesse J. Hagenaars, Federico Paredes-Vallés, Sander M. Bohté, Guido C. H. E. de Croon
2020	J	`jnl`	Reduced Order Modeling for Parameterized Time-Dependent PDEs using Spatially and Memory Aware Deep Learning. CoRR Nikolaj Takata Mücke, Sander M. Bohté, Cornelis W. Oosterlee
2019	J	`jnl`	Generalisation in fully-connected neural networks for time series forecasting. CoRR Anastasia Borovykh, Cornelis W. Oosterlee, Sander M. Bohté
2019	J	`jnl`	Generalization in fully-connected neural networks for time series forecasting. J. Comput. Sci. Anastasia Borovykh, Cornelis W. Oosterlee, Sander M. Bohté
2019	J	`jnl`	LocalNorm: Robust Image Classification through Dynamically Regularized Normalization. CoRR Bojian Yin, Siebren Schaafsma, Henk Corporaal, H. Steven Scholte, Sander M. Bohté
2019	J	`jnl`	MuPNet: Multi-modal Predictive Coding Network for Place Recognition by Unsupervised Learning of Joint Visuo-Tactile Latent Representations. CoRR Oliver Struckmeier, Kshitij Tiwari, Shirin Dora, Martin J. Pearson, Sander M. Bohté, Cyriel M. A. Pennartz, Ville Kyrki
2019	J	`jnl`	Pricing options and computing implied volatilities using neural networks. CoRR Shuaiqiang Liu, Cornelis W. Oosterlee, Sander M. Bohté
2019	J	`jnl`	Using the structure of genome data in the design of deep neural networks for predicting amyotrophic lateral sclerosis from genotype. Bioinform. Bojian Yin, Marleen Balvert, Rick A. A. van der Spek, Bas E. Dutilh, Sander M. Bohté, Jan Veldink, Alexander Schönhuth
2018	J	`jnl`	A Biologically Plausible Learning Rule for Deep Learning in the Brain. CoRR Isabella Pozzi, Sander M. Bohté, Pieter R. Roelfsema
2018	—	`conf`	A Deep Predictive Coding Network for Inferring Hierarchical Causes Underlying Sensory Inputs. ICANN (3) Shirin Dora, Cyriel M. A. Pennartz, Sander M. Bohté
2018	—	`conf`	An image representation based convolutional network for DNA classification. ICLR (Poster) Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander M. Bohté
2018	J	`jnl`	An image representation based convolutional network for DNA classification. CoRR Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander M. Bohté
2018	—	`conf`	Continuous-Time Spike-Based Reinforcement Learning for Working Memory Tasks. ICANN (2) Marios Karamanis, Davide Zambrano, Sander M. Bohté
2018	—	`conf`	Gating Sensory Noise in a Spiking Subtractive LSTM. ICANN (1) Isabella Pozzi, Roeland Nusselder, Davide Zambrano, Sander M. Bohté
2018	J	`jnl`	On the data-driven COS method. Appl. Math. Comput. Álvaro Leitao, Cornelis W. Oosterlee, Luis Ortiz-Gracia, Sander M. Bohté
2017	J	`jnl`	Editorial: Artificial Neural Networks as Models of Neural Information Processing. Frontiers Comput. Neurosci. Marcel van Gerven, Sander M. Bohté
2017	J	`jnl`	Efficient Computation in Adaptive Artificial Spiking Neural Networks. CoRR Davide Zambrano, Roeland Nusselder, H. Steven Scholte, Sander M. Bohté
2016	J	`jnl`	Efficient forward propagation of time-sequences in convolutional neural networks using Deep Shifting. CoRR Koen Groenland, Sander M. Bohté
2016	J	`jnl`	Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks. CoRR Davide Zambrano, Sander M. Bohté
2016	J	`jnl`	Modern Machine Learning: More with Less, Cheaper and Better. ERCIM News Sander M. Bohté, Hung Son Nguyen
2015	B	`conf`	Continuous-time on-policy neural Reinforcement Learning of working memory tasks. IJCNN Davide Zambrano, Pieter R. Roelfsema, Sander M. Bohté
2015	J	`jnl`	How Attention Can Create Synaptic Tags for the Learning of Working Memories in Sequential Tasks. PLoS Comput. Biol. Jaldert O. Rombouts, Sander M. Bohté, Pieter R. Roelfsema
2014	B	`conf`	Learning resets of neural working memory. ESANN Jaldert O. Rombouts, Pieter R. Roelfsema, Sander M. Bohté
2014	B	`conf`	Spiking AGREL. ESANN Davide Zambrano, Jaldert O. Rombouts, Cecilia Laschi, Sander M. Bohté
2014	B	`conf`	Spiking Neural Networks: Principles and Challenges. ESANN André Grüning, Sander M. Bohté
2012	—	`conf`	Biologically Plausible Multi-dimensional Reinforcement Learning in Neural Networks. ICANN (1) Jaldert O. Rombouts, Arjen van Ooyen, Pieter R. Roelfsema, Sander M. Bohté
2012	—	`ch.`	Computing with Spiking Neuron Networks. Handbook of Natural Computing Hélène Paugam-Moisy, Sander M. Bohté
2012	—	`conf`	Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model. NIPS Sander M. Bohté
2012	J	`jnl`	Learning to Recall. ERCIM News Jaldert O. Rombouts, Pieter R. Roelfsema, Sander M. Bohté
2012	—	`conf`	Neurally Plausible Reinforcement Learning of Working Memory Tasks. NIPS Jaldert O. Rombouts, Sander M. Bohté, Pieter R. Roelfsema
2011	—	`conf`	Error-Backpropagation in Networks of Fractionally Predictive Spiking Neurons. ICANN (1) Sander M. Bohté
2010	J	`jnl`	Fractionally Predictive Spiking Neurons CoRR Sander M. Bohté, Jaldert O. Rombouts
2010	—	`conf`	Fractionally Predictive Spiking Neurons. NIPS Sander M. Bohté, Jaldert O. Rombouts
2009	J	`jnl`	Adaptive resource allocation for efficient patient scheduling. Artif. Intell. Medicine Ivan B. Vermeulen, Sander M. Bohté, Sylvia G. Elkhuizen, Han Lameris, Piet J. M. Bakker, Han La Poutré
2009	B	`conf`	Optimization of Online Patient Scheduling with Urgencies and Preferences. AIME Ivan B. Vermeulen, Sander M. Bohté, Peter A. N. Bosman, Sylvia G. Elkhuizen, Piet J. M. Bakker, Johannes A. La Poutré
2009	—	`conf`	The Complex Dynamics of Sponsored Search Markets. ADMI Valentin Robu, Han La Poutré, Sander M. Bohté
2008	A*	`conf`	Decentralized Online Scheduling of Combination-Appointments in Hospitals. ICAPS Ivan B. Vermeulen, Sander M. Bohté, Sylvia G. Elkhuizen, Piet J. M. Bakker, Han La Poutré
2007	B	`conf`	Adaptive Optimization of Hospital Resource Calendars. AIME Ivan B. Vermeulen, Sander M. Bohté, Sylvia G. Elkhuizen, J. S. Lameris, Piet J. M. Bakker, Johannes A. La Poutré
2007	J	`jnl`	Adaptive Patient Scheduling with Dynamic Resource Usage. ERCIM News Ivan B. Vermeulen, Sander M. Bohté, Han La Poutré
2007	J	`jnl`	Multi-agent Pareto appointment exchanging in hospital patient scheduling. Serv. Oriented Comput. Appl. Ivan B. Vermeulen, Sander M. Bohté, Koye Somefun, Johannes A. La Poutré
2007	J	`jnl`	Reducing the Variability of Neural Responses: A Computational Theory of Spike-Timing-Dependent Plasticity. Neural Comput. Sander M. Bohté, Michael C. Mozer
2006	—	`conf`	Improving Patient Activity Schedules by Multi-agent Pareto Appointment Exchanging. CEC/EEE Ivan B. Vermeulen, Sander M. Bohté, D. J. A. Somefun, Han La Poutré
2006	A	`conf`	Learning from induced changes in opponent (re)actions in multi-agent games. AAMAS Pieter Jan't Hoen, Sander M. Bohté, Johannes A. La Poutré
2006	A	`conf`	Strategic Foresighted Learning in Competitive Multi-Agent Games. ECAI Pieter Jan't Hoen, Sander M. Bohté, Han La Poutré
2005	C	`conf`	Action-Reaction in Multi-Agent Games. EUMAS Pieter Jan't Hoen, Sander M. Bohté, Johannes A. La Poutré
2005	J	`jnl`	Applications of spiking neural networks. Inf. Process. Lett. Sander M. Bohté, Joost N. Kok
2005	—	`conf`	Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity. BNAIC Sander M. Bohté, Michael C. Mozer
2004	J	`jnl`	Introduction. Nat. Comput. Sander M. Bohté, Michiel C. van Wezel, Joost N. Kok
2004	J	`jnl`	Market-based recommendation: Agents that compete for consumer attention. ACM Trans. Internet Techn. Sander M. Bohté, Enrico H. Gerding, Johannes A. La Poutré
2004	A*	`conf`	Nonparametric classification with polynomial MPMC cascades. ICML Sander M. Bohté, Markus Breitenbach, Gregory Z. Grudic
2004	—	`conf`	Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity. NIPS Sander M. Bohté, Michael C. Mozer
2004	J	`jnl`	The evidence for neural information processing with precise spike-times: A survey. Nat. Comput. Sander M. Bohté
2003	—	`conf`	Automated Negotiation and Bundling of Information Goods. AMEC D. J. A. Somefun, Enrico H. Gerding, Sander M. Bohté, Johannes A. La Poutré
2003	—	`conf`	COllective INtelligence with Sequences of Actions - Coordinating Actions in Multi-agent Systems. ECML Pieter Jan't Hoen, Sander M. Bohté
2002	—	`conf`	An Extensible Agent Architecture for a Competitive Market-Based Allocation of Consumer Attention Space. AMEC Pieter Jan't Hoen, Sander M. Bohté, Enrico H. Gerding, Johannes A. La Poutré
2002	J	`jnl`	Error-backpropagation in temporally encoded networks of spiking neurons. Neurocomputing Sander M. Bohté, Joost N. Kok, Johannes A. La Poutré
2002	B	`conf`	Modeling efficient conjunction detection with spiking neural networks. ESANN Sander M. Bohté, Joost N. Kok, Johannes A. La Poutré
2002	J	`jnl`	Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks. IEEE Trans. Neural Networks Sander M. Bohté, Han La Poutré, Joost N. Kok
2001	A*	`conf`	Competitive market-based allocation of consumer attention space. EC Sander M. Bohté, Enrico H. Gerding, Johannes A. La Poutré
2000	B	`conf`	SpikeProp: backpropagation for networks of spiking neurons. ESANN Sander M. Bohté, Joost N. Kok, Johannes A. La Poutré
2000	J	`jnl`	The Effects of Pair-wise and Higher-order Correlations on the Firing Rate of a Postsynaptic Neuron. Neural Comput. Sander M. Bohté, Henk Spekreijse, Pieter R. Roelfsema
2000	—	`conf`	Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons. IJCNN (3) Sander M. Bohté, Johannes A. La Poutré, Joost N. Kok