All Stories

  1. A Neuromorphic Electronic Nose Design
  2. DENSE SENSE : A novel approach utilizing an electron density augmented machine learning paradigm to understand a complex odour landscape
  3. DENSE SENSE : A novel approach utilizing an electron density augmented machine learning paradigm to understand a complex odour landscape
  4. DENSE SENSE : A novel approach utilizing an electron density augmented machine learning paradigm to understand a complex odour landscape
  5. Neuromorphic circuit for temporal odor encoding in turbulent environments
  6. Dense Sense: a novel approach utilizing electron density augmented machine learning paradigm to understand the complex odour landscape
  7. Limitations in odour recognition and generalization in a neuromorphic olfactory circuit
  8. High-speed odor sensing using miniaturized electronic nose
  9. Decoding the amplitude and slope of continuous signals into spikes with a spiking point neuron model
  10. Mapping odorant sensitivities reveals a sparse but structured representation of olfactory chemical space by sensory input to the mouse olfactory bulb
  11. Mapping odorant sensitivities reveals a sparse but structured representation of olfactory chemical space by sensory input to the mouse olfactory bulb
  12. Active sensing in a dynamic olfactory world
  13. Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions
  14. Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code
  15. Sparse coding with a somato-dendritic rule
  16. Computational exploration of molecular receptive fields in the olfactory bulb reveals a glomerulus-centric chemical map
  17. An unsupervised neuromorphic clustering algorithm
  18. Computational exploration of molecular receptive fields in the olfactory bulb reveals a glomerulus-centric chemical map
  19. Predicting voluntary movements from motor cortical activity with neuromorphic hardware
  20. Exploiting plume structure to decode gas source distance using metal-oxide gas sensors
  21. Classifying continuous, real-time e-nose sensor data using a bio-inspired spiking network modelled on the insect olfactory system
  22. Comparing Neuromorphic Solutions in Action: Implementing a Bio-Inspired Solution to a Benchmark Classification Task on Three Parallel-Computing Platforms
  23. Neuromorphic hardware in action: comparing the implemention of a spiking multivariate classifer model on three neuromorphic platforms
  24. A Probabilistic Model for Estimating the Depth and Threshold Temperature of C-fiber Nociceptors
  25. Erratum to “Automatic segmentation of odour maps in the mouse olfactory bulb using regularized non-negative matrix factorization” [NeuroImage 98 (2014) 279–288]
  26. Neuronal Parameter Space Visualization
  27. Neuromorphic Sensors, Olfaction
  28. Decoding odor quality and intensity in the Drosophila brain
  29. Automatic segmentation of odor maps in the mouse olfactory bulb using regularized non-negative matrix factorization
  30. Classifying chemical sensor data using GPU-accelerated bio-mimetic neuronal networks based on the insect olfactory system
  31. Topographic embedding of MOR18-2 in the mouse olfactory bulb
  32. A neuromorphic network for generic multivariate data classification
  33. Neuronal Parameter Space Visualization
  34. Neuromorphic Sensors, Olfaction
  35. 1st International Workshop on Odor Spaces
  36. Benchmarking physicochemical vs. vibrational descriptors in predicting odor receptor responses
  37. Improving odor classification through self-organized lateral inhibition in a spiking olfaction-inspired network
  38. Physicochemical vs. Vibrational Descriptors for Prediction of Odor Receptor Responses
  39. Six Networks on a Universal Neuromorphic Computing Substrate
  40. Temporal features of pain evoked spike trains
  41. Ten thousand times faster: Classifying multidimensional data on a spiking neuromorphic hardware system.
  42. Ten thousand times faster: Classifying multidimensional data on a spiking neuromorphic hardware system.
  43. Self-organization of virtual odorant receptors inspired by insect olfaction
  44. Benchmarking the impact of information processing in the insect olfactory system with a spiking neuromorphic classifier
  45. The Similarity between Odors and Their Binary Mixtures in Drosophila
  46. A spiking neuron classifier network with a deep architecture inspired by the olfactory system of the honeybee
  47. A Behavioral Odor Similarity "Space" in Larval Drosophila
  48. Extraction of functional domains in optical imaging data using regularized nonnegative matrix factorization
  49. Parallel Representation of Stimulus Identity and Intensity in a Dual Pathway Model Inspired by the Olfactory System of the Honeybee
  50. From chemical to receptive space
  51. A neuromorphic model of dual pathway odour classification
  52. Differential odor processing in two olfactory pathways in the honeybee
  53. Processing and classification of chemical data inspired by insect olfaction
  54. Suche nach Wirkstoff-Grundgerüsten mit 3D-Pharmakophorhypothesen und Ensembles neuronaler Netze
  55. Searching for Drug Scaffolds with 3D Pharmacophores and Neural Network Ensembles
  56. Predicting olfactory receptor neuron responses from odorant structure
  57. SOMMER: self-organising maps for education and research
  58. Impact of different software implementations on the performance of the Maxmin method for diverse subset selection
  59. Deciphering apicoplast targeting signals – feature extraction from nuclear-encoded precursors of Plasmodium falciparum apicoplast proteins
  60. NeuralEnsemble.Org: Unifying neural simulators in Python to ease the model complexity bottleneck
  61. Brain-like Processing and Classification of Chemical Data
  62. Brain-Like Processing and Classification of Chemical Data
  63. Brain-like Processing and Classification of Chemical Data