Student Talks on Neuromorphic Computing
We are hosting academic discussions and presentations by students on neuromorphic computing.
Spiking Neural Receptive Fields
See how leaky integrators provide scale-space covariance for SNNs, boosting event-based tracking by 42% when initialized with spatio-temporal priors.
Upcoming Student Talks
There are no student talks scheduled at the moment.
If you are a student or early-career researcher, this is a great platform to present your work, share your findings, and get valuable feedback.
Embodied Representation: Robotics without a Ruler
Learn how robots can use Embodied Visuomotor Representation to clear obstacles and jump gaps using action-implied units instead of metric calibration.
Learning Long Sequences in Spiking Neural Networks with Matei Stan
Combining State Space Models with Spiking Neural Networks via a Gated Spiking Unit eliminates saturation and outperforms Transformers on long sequence tasks.
Legendre-SNN on Loihi-2
Deploying a Legendre Delay Network on Loihi-2's Lakemont cores with quantized 32-bit operations outperforms LSTMs on 3 of 15 time-series datasets.
Inspired? Host an event.
Share your expertise with the community by hosting a workshop, student talk, or hacking hour. It’s a great way to get feedback and help others learn.