Automatic Transpiler that Efficiently Converts Digital Circuits to a Neural Network Representation | 0 | 0.34 | 2022 |
Biological underpinnings for lifelong learning machines | 0 | 0.34 | 2022 |
Replay In Deep Learning: Current Approaches And Missing Biological Elements | 1 | 0.37 | 2021 |
Abstraction Mechanisms Predict Generalization in Deep Neural Networks | 0 | 0.34 | 2020 |
Lattice Map Spiking Neural Networks (Lm-Snns) For Clustering And Classifying Image Data | 1 | 0.35 | 2019 |
Deep Neural Networks Abstract Like Humans. | 0 | 0.34 | 2019 |
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games. | 0 | 0.34 | 2019 |
BindsNET: A machine learning-oriented spiking neural networks library in Python. | 10 | 0.56 | 2018 |
Evolution of Abstraction Across Layers in Deep Learning Neural Networks. | 0 | 0.34 | 2018 |
Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning. | 0 | 0.34 | 2018 |
Insulin Regimen ML-based control for T2DM patients. | 0 | 0.34 | 2017 |
EyeFrame: Real-Time Memory Aid Improves Human Multitasking via Domain-General Eye Tracking Procedures | 2 | 0.37 | 2015 |
Human Strategies for Multitasking, Search, and Control Improved via Real-Time Memory Aid for Gaze Location | 1 | 0.35 | 2015 |
Implementation Of Universal Computation Via Small Recurrent Finite Precision Neural Networks | 0 | 0.34 | 2015 |
Report on UCNC 2014. | 0 | 0.34 | 2015 |
Development of Physical Super-Turing Analog Hardware. | 0 | 0.34 | 2014 |
The Super-Turing Computational Power Of Plastic Recurrent Neural Networks | 14 | 0.64 | 2014 |
Probability-Generated Aggregators. | 5 | 0.46 | 2013 |
Multiscale Agent-Based Model Of Tumor Angiogenesis | 7 | 0.83 | 2013 |
A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks. | 0 | 0.34 | 2012 |
The computational power of interactive recurrent neural networks. | 6 | 0.55 | 2012 |
Guest Editorial: Biologically Inspired Human-Robot Interactions - Developing More Natural Ways to Communicate with our Machines. | 0 | 0.34 | 2012 |
Activity Inference through Commonsense. | 0 | 0.34 | 2011 |
Identification and control of intrinsic bias in a multiscale computational model of drug addiction | 1 | 0.41 | 2010 |
Complex Systems Science and Brain Dynamics. | 1 | 0.38 | 2010 |
Conspecific Emotional Cooperation Biases Population Dynamics: A Cellular Automata Approach | 0 | 0.34 | 2010 |
Drug Addiction: A Computational Multiscale Model Combining Neuropsychology, Cognition and Behavior | 2 | 0.53 | 2009 |
Emotions for Strategic Real-Time Systems. | 0 | 0.34 | 2008 |
Emotional Robotics: Tug of War. | 1 | 0.36 | 2008 |
Support vector clustering | 185 | 14.71 | 2008 |
Circadian Synchrony In Networks Of Protein Rhythm Driven Neurons | 2 | 0.52 | 2007 |
The self-construction and -repair of a foraging organism by explicitly specified development from a single cell. | 5 | 0.49 | 2007 |
Multi-agent system that attains longevity via death | 0 | 0.34 | 2007 |
Adaptive Multi-modal Sensors | 0 | 0.34 | 2006 |
Introducing an active cluster-based information retrieval paradigm | 0 | 0.34 | 2005 |
Time-Warped Longest Common Subsequence Algorithm for Music Retrieval | 23 | 1.47 | 2004 |
Neural and Super-Turing Computing | 11 | 0.69 | 2003 |
On probabilistic analog automata | 2 | 0.37 | 2003 |
Symbolic Processing in Neural Networks. | 3 | 0.54 | 2003 |
A theory of complexity for continuous time systems | 20 | 1.20 | 2002 |
Verifying Properties of Neural Networks | 4 | 0.39 | 2001 |
Active Information Retrieval | 6 | 0.66 | 2001 |
Neural Computing | 0 | 0.34 | 2001 |
Probabilistic analysis of a differential equation for linear programming | 4 | 0.47 | 2001 |
A Support Vector Clustering Method | 24 | 3.69 | 2000 |
Macroscopical Molecular Computation with Gene Networks | 0 | 0.34 | 2000 |
Sensor registration using neural networks | 9 | 0.94 | 2000 |
Stochastic analog networks and computational complexity | 6 | 1.45 | 1999 |
A Theory of Complexity for Continuous Time Dynamics | 1 | 0.38 | 1998 |
High Order Eigentensors as Symbolic Rules in Competitive Learning | 2 | 0.40 | 1998 |