All Stories

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