All Stories

  1. Explainable machine learning predictions of perceptual sensitivity for retinal prostheses
  2. Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition
  3. Explainable Machine Learning Predictions of Perceptual Sensitivity for Retinal Prostheses
  4. Retinal ganglion cells undergo cell type–specific functional changes in a biophysically detailed model of retinal degeneration
  5. Towards a Smart Bionic Eye: AI-powered artificial vision for the treatment of incurable blindness
  6. The Relative Importance of Depth Cues and Semantic Edges for Indoor Mobility Using Simulated Prosthetic Vision in Immersive Virtual Reality
  7. Factors affecting two-point discrimination in Argus II patients
  8. Cortical Motion Perception Emerges from Dimensionality Reduction with Evolved Spike-Timing-Dependent Plasticity Rules
  9. Improving bionic vision with deep learning
  10. Immersive Virtual Reality Simulations of Bionic Vision
  11. Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses
  12. Learning to see again: Perceptual learning of simulated abnormal on- off-cell population responses in sighted individuals
  13. A Computational Model of Phosphene Appearance for Epiretinal Prostheses
  14. A Computational Model of Phosphene Appearance for Epiretinal Prostheses
  15. Explainable AI for Retinal Prostheses: Predicting Electrode Deactivation from Routine Clinical Measures
  16. Explainable AI for Retinal Prostheses: Predicting Electrode Deactivation from Routine Clinical Measures
  17. Deep Learning–Based Scene Simplification for Bionic Vision
  18. Towards Immersive Virtual Reality Simulations of Bionic Vision
  19. U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina
  20. Data-driven models in human neuroscience and neuroengineering
  21. Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants
  22. Neural correlates of sparse coding and dimensionality reduction
  23. A model of ganglion axon pathways accounts for percepts elicited by retinal implants
  24. Commentary: Detailed Visual Cortical Responses Generated by Retinal Sheet Transplants in Rats With Severe Retinal Degeneration
  25. Biophysical model of axonal stimulation in epiretinal visual prostheses
  26. On the potential role of retinal sheet transplants for sight restoration
  27. Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants
  28. A model of ganglion axon pathways accounts for percepts elicited by retinal implants
  29. Biophysical model of axonal stimulation in epiretinal visual prostheses
  30. CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters
  31. Learning to see again: biological constraints on cortical plasticity and the implications for sight restoration technologies
  32. Sparse coding and dimensionality reduction in cortex
  33. pulse2percept: A Python-based simulation framework for bionic vision
  34. Learning to see again: Biological constraints on cortical plasticity and the implications for sight restoration technologies
  35. pulse2percept: A Python-based simulation framework for bionic vision
  36. Our brains help us navigate by using a compressed code for what we see when we move
  37. A GPU-accelerated cortical neural network model for visually guided robot navigation
  38. CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks
  39. Vision-based robust road lane detection in urban environments
  40. Efficient Spiking Neural Network Model of Pattern Motion Selectivity in Visual Cortex
  41. GPGPU accelerated simulation and parameter tuning for neuromorphic applications
  42. Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule
  43. Exploring olfactory sensory networks: Simulations and hardware emulation