Seeking Beta Testers

We are seeking neuroscience labs to beta test our NGNI-v1 platform. If you are interested, please contact: t.constandinou@imperial.ac.uk

NGNI v1 Platform Brochure

Scalable Neural Recording Interface with Real-time Spike Sorting

Overview

Spike Sorting is the process of deinterleaving a recorded neural signal in order to determine the firing patterns of individual neurons from the aggregate spike stream.

The NGNI platform is an end-to-end solution for on-node, real-time spike sorting. By using a compact, onboard (template based) spike sorting engine, together with offline training (WaveClus-based), a low power real-time solution is achievable.

NGNI v1 PlatformThe NGNI V1 platform showing 32-channel headstage, USB3.0 SS bridge and software platform for configuration and real-time visualization.

Features

  • 32-channel neural recording/streaming
  • On-node, realtime template-based spike sorting
  • Proprietary template building engine (based on WaveClus)
  • Onboard template memory, 18.4kbit (4 templates per channel)
  • Low latency (0.3ms) SPI output
  • Low output data-rate - suitable for wireless communication

Applications

  • Signal acquisition systems for electrophysiology
  • Large-scale recording applications (multi-probe, multi-channel)
  • Realtime brain machine interface applications
  • Closed loop low-latency biofeedback