Product Technical Specifications

TAINI 20/16

TAINI 20/16, a novel ultra-lightweight (1.8g) low power wireless neural recording system allowing 72-hours of recording from 16 channels sampled at ~19.5 KHz (9.7 KHz bandwidth). It captures local field potentials (LFP) and action-potentials (AP) while animals (e.g mice, rat) engage in unrestricted behaviour in a variety of environments and while performing tasks.

Together with our TAINILIVE software, users are able to view the live recorded signals while configuring the recording settings.

TAINI system can also be synchronized with other external systems, such as video tracking, which allows the recorded data to be synchronized to animals’ behaviour with sub-second precision.  

Physical Characteristics

Weight 1.8 gramIncluding battery and enclosure
Length19mmedge to edge (including connector & enclosure)
Width 14.5mmedge to edge (including connector & enclosure)
Height15.5mmedge to edge (including connector & enclosure)
Electrode interfaceOmnetics A79039-001 connector

Power Characteristics

Supply voltage range 11.4Volt
Average current draw2mA
Peak current draw2.5mA
Battery capacity180mAhtypical Zinc Air battery (size code 312)
Battery lifetime 72hours

Signal Characteristics

No. channel16
Sample rate per channel19500samples/second
Acquisition bandwidth0.359700Hz-3 dB bandwidth
Input voltage range 13mV (pk-pk)maximal input signal
Sample size 12bit
Common mode rejection ratio (CMRR)78dB
Power supply rejection ratio (PSRR)>46dB
Input referred noise 3.9µV (RMS)

Wireless Communication Characteristics

Transmission range 2.5meterreceived SNR = 20 dB (dependent on experiment set-up)
Transmission protocolcustomized protocol with package size of 810 bits
Transmission modulationBASKdigital modulation scheme
Typical package loss1%dependent on experiment environment & set-up
Simultaneous system recording 4 transmitters without using any RF shielding techniques;
With our recommended RF shielding set-up, users can run more than 4 transmitters (e.g. 8 or 16) in the same room.

Note: More detailed information can be found in the following published paper in Nature Scientific Reports:

Jiang Z, Huxter JR, Bowyer SA, et al., 2017, TaiNi: Maximizing research output whilst improving animals’ welfare in neurophysiology experiments, Scientific Reports, Vol:7, ISSN:2045-232