SiNAPS: Active, High-Density Microelectrodes
NeuroNexus SiNAPS (Silicon Neural Active Pixel Sensor) probes offer revolutionary advancements in neural recording technology, designed for precise electrophysiological measurements.
Revolutionary SiNAPS probe technology features integrated active CMOS circuitry for unmatched performance. Its large-span, high-density layouts enable simultaneous sampling of entire target regions.
Key Advantages:
- Integrated Active Pixel Sensor (APS) technology amplifies and filters signals at each electrode, ensuring optimal signal-to-noise ratio (SNR).
- Available in high-density configurations: 256 or 1024 channels, across 1, 4, or 8 shanks.
- Optogenetic fiber-compatible, with customizable hybrid packages.
- Seamless integration with NeuroNexus data acquisition systems.
Technical Specifications:
- Electrode size: 14 x 14 µm²
- Electrode pitch: 29 µm
- Sampling frequency: 20 k samples/second
Power consumption: <6 µW per electrode-pixel
RMS noise: minimized for enhanced signal clarity - 6.5 μVRMS (300-7500 Hz)
Shank dimensions:
- Length: approximately 5.6 mm
- Width: ~80 µm
- Shank spacing: 560 µm (4-shank 1024-ch), 300 µm (8-shank 1024-ch)
Optogenetic configurations offer flexible placement of optical fibers for precise stimulation and recording.
Available Models:
- SiNAPS_1S_256 (single-shank, 256 channels)
- SiNAPS_4S_1024 (4-shank, 1024 channels)
- SiNAPS_8S_1024 (8-shank, 1024 channels)
- Optogenetic (OAVS) variants for each channel configuration.
The color map shows in vivo recording of optogenetic responses of LFPs. LFP is higher close to the stimulation point and degrades when gets further away.
Experimental setup:
• Virally mediated optogenetics mouse model
• 1024-ch SiNAPS probe
• Light <1 mm distance from the closest recording site.
• As expected, the right units are more responsive with respect to the closer distance that they have to the optical fiber
• Representation of Wide-Field Neural Networks: Neurons far from the light stimulus also showed responses.
• Advantage of tracking single cell across the whole array in chronic application