Articles

  1. Mean-field Gamma Competition

  2. Mean-field Coupling

  3. Streaming Control of a Rotary Joint

  4. AI to PING transition

  5. NMT Half-Centre Oscillator

  6. NMT Single-Neuron Compatibility

  7. Renart (2010): Asynchronous Irregular State

  8. Continuous Time Scikit Digits

  9. Scikit-learn Digits

  10. PING: Leak and Capacitance

  11. Lowet (2015): Spiking Coupling

  12. Theta nested Gamma

  13. Introduction to Capacitors

  14. Conductance-Based Synapses

  15. Introduction to Spiking Neural Networks

  16. SHD

  17. Decision Time and Gamma Cycles

  18. Mean-Field Analysis of PING Bifurcations

  19. Manuscript

  20. Susin (2021): Gamma vs Drive

  21. Spike-Count Stream Classification

  22. How Pixel Features Respond to Input Rate

  23. Decoder Accuracy Improves with Input Rate

  24. Pinglab Rythmicity Metric

  25. Recurrent Learning Weakens Rhythmicity

  26. Pool Size and Synaptic Scaling

  27. One Spike per Gamma Cycle

  28. Firing Rate Across the Timestep Sweep

  29. Inhibitory Replay and E Firing

  30. Firing Rate Tracks Gamma Frequency

  31. Switching On the Inhibitory Loop

  32. Dropped Spikes vs Added Noise

  33. Inhibition, Accuracy and Firing

  34. Accuracy Plateaus While Firing Rate Rises

  35. Turning the PING Loop On

  36. MNIST

  37. Experiment Rules

  38. Writing Rules

  39. Workflow

  40. CTC and Attention

  41. Pingstore Guide

  42. Mean-field Model

  43. Compute Rules

  44. Canonical Parameters

  45. COBA and PING: Dynamics and Learning