Thomas Nowotny

Orcid: 0000-0002-4451-915X

According to our database1, Thomas Nowotny authored at least 59 papers between 2003 and 2024.

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Bibliography

2024
Estimating orientation in natural scenes: A spiking neural network model of the insect central complex.
PLoS Comput. Biol., 2024

Learning efficient backprojections across cortical hierarchies in real time.
Nat. Mac. Intell., 2024

Spatio-temporal Structure of Excitation and Inhibition Emerges in Spiking Neural Networks with and without Biologically Plausible Constraints.
CoRR, 2024

Spyx: A Library for Just-In-Time Compiled Optimization of Spiking Neural Networks.
CoRR, 2024

Familiarity-taxis: A bilateral approach to view-based snapshot navigation.
Adapt. Behav., 2024

Efficient Visual Navigation with Bio-inspired Route Learning Algorithms.
Proceedings of the From Animals to Animats 17, 2024

2023
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute.
Frontiers Neuroinformatics, March, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023

Easy and efficient spike-based Machine Learning with mlGeNN.
Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Insect-inspired Spatio-temporal Downsampling of Event-based Input.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Learning Efficient Backprojections Across Cortical Hierarchies in Real Time.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
mlGeNN: accelerating SNN inference using GPU-enabled neural networks.
Neuromorph. Comput. Eng., 2022

Production of adaptive movement patterns via an insect inspired spiking neural network central pattern generator.
Frontiers Comput. Neurosci., 2022

Loss shaping enhances exact gradient learning with EventProp in Spiking Neural Networks.
CoRR, 2022

Event-based dataset for classification and pose estimation.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Efficient GPU training of LSNNs using eProp.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

CORtEX 2022 Invited Speaker 1: The GeNN ecosystem for GPU accelerated spiking neural network simulations.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021
Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies.
PLoS Comput. Biol., 2021

Larger GPU-accelerated brain simulations with procedural connectivity.
Nat. Comput. Sci., 2021

Arpra: An Arbitrary Precision Range Analysis Library.
Frontiers Neuroinformatics, 2021

PyGeNN: A Python Library for GPU-Enhanced Neural Networks.
Frontiers Neuroinformatics, 2021

Editorial: Advances in Computational Neuroscience.
Frontiers Comput. Neurosci., 2021

Recent advances in evolutionary and bio-inspired adaptive robotics: Exploiting embodied dynamics.
Appl. Intell., 2021

2020
Can Small Scale Search Behaviours Enhance Large-Scale Navigation?
Proceedings of the Biomimetic and Biohybrid Systems - 9th International Conference, 2020

Snapshot Navigation in the Wavelet Domain.
Proceedings of the Biomimetic and Biohybrid Systems - 9th International Conference, 2020

Insect Inspired View Based Navigation Exploiting Temporal Information.
Proceedings of the Biomimetic and Biohybrid Systems - 9th International Conference, 2020

Exploring the robustness of insect-inspired visual navigation for flying robots.
Proceedings of the 2020 Conference on Artificial Life, 2020

2019
An unsupervised neuromorphic clustering algorithm.
Biol. Cybern., 2019

Insect-Inspired Visual Navigation On-Board an Autonomous Robot: Real-World Routes Encoded in a Single Layer Network.
Proceedings of the 2019 Conference on Artificial Life, 2019

2018
Odorant mixtures elicit less variable and faster responses than pure odorants.
PLoS Comput. Biol., 2018

Code Generation in Computational Neuroscience: A Review of Tools and Techniques.
Frontiers Neuroinformatics, 2018

2017
An inexpensive flying robot design for embodied robotics research.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Biophysical Model of the Early Olfactory System of Honeybees.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Burst Firing Enhances Neural Output Correlation.
Frontiers Comput. Neurosci., 2016

Input-Modulation as an Alternative to Conventional Learning Strategies.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2014
Dynamic Clamp Technique.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Patch Clamp Technique.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Voltage-Clamp Technique.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Gap Junctions in Small Networks.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Use of Local Intelligence to Reduce Energy Consumption of Wireless Sensor Nodes in Elderly Health Monitoring Systems.
Sensors, 2014

Influence of Wiring Cost on the Large-Scale Architecture of Human Cortical Connectivity.
PLoS Comput. Biol., 2014

Two Challenges of Correct Validation in Pattern Recognition.
Frontiers Robotics AI, 2014

Scalability and Optimization Strategies for GPU Enhanced Neural Networks (GeNN).
CoRR, 2014

2013
Gain Control Network Conditions in Early Sensory Coding.
PLoS Comput. Biol., 2013

ICT System Design & Implementation Using Wireless Sensors to Support Elderly In-home Assistance
CoRR, 2013

The Green Brain Project - Developing a Neuromimetic Robotic Honeybee.
Proceedings of the Biomimetic and Biohybrid Systems, 2013

2012
Inhibition in Multiclass Classification.
Neural Comput., 2012

On the equivalence of Hebbian learning and the SVM formalism.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

2010
Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia<sup>®</sup> CUDA™.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Fast and Robust Learning by Reinforcement Signals: Explorations in the Insect Brain.
Neural Comput., 2009

2008
Artificial Olfactory Brain for Mixture Identification.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Models Wagging the Dog: Are Circuits Constructed with Disparate Parameters?
Neural Comput., 2007

Emergent Properties in Structurally Dynamic Disordered Cellular Networks.
J. Cell. Autom., 2007

2005
Self-organization in the olfactory system: one shot odor recognition in insects.
Biol. Cybern., 2005

2004
Learning Classification in the Olfactory System of Insects.
Neural Comput., 2004

Biomimetic Central Pattern Generators for Robotics and Prosthetics.
Proceedings of the 2004 IEEE International Conference on Robotics and Biomimetics, 2004

2003
Decoding Temporal Information Through Slow Lateral Excitation in the Olfactory System of Insects.
J. Comput. Neurosci., 2003

Explaining synchrony in feed-forward networks (Erratum).
Biol. Cybern., 2003

Explaining synchrony in feed-forward networks: .
Biol. Cybern., 2003


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