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RX8 Multi-I/O Processor

Used in 95 published studies →

The RX8 Multi-I/O Processor is a high channel count analog input/output system. Available with either 12 or 24 analog channels, the RX8 can be configured to your specifications. Combine PCM or Sigma-Delta A/Ds and D/As to create a system matched to your application.

Research Uses

Product Specs

Resources

Publications

  • Psychophysics
  • Closed loop signal control
  • Spatial hearing
  • Multi-sensory integration

95 published studies used the RX8. The newest:

bioRxiv · Jul 2026

Closed-loop sensory feedback enables fast and reliable instrumental acquisition in head-fixed mice (opens in a new tab)

Ajit Ranganath, Daniel Hähnke, Simon N. Jacob

Abstract

Instrumental learning typically requires hundreds to thousands of trials in which subjects learn to link motor responses to sensory cues. In standard rodent protocols, response accuracy is reported only at trial end, preventing subjects from correcting erroneously initiated responses. We hypothesized that within-trial, closed-loop sensory feedback would accelerate instrumental learning by providing real-time information about response correctness. Head-fixed mice performed a two-alternative forced-choice task by rotating a choice wheel in response to sensory cues. Mice received either no feedback (n = 18), auditory feedback (n = 16), or audiovisual feedback (n = 4) coupled to wheel movements. Feedback-receiving mice required significantly fewer trials to reach 70 % accuracy criterion (median: 3186, 4918 and 7329 trials for multimodal, unimodal and no feedback, respectively; p = 0.0245) and showed higher accuracy when modifying choices (expert stage: 17 %, 11 % and 9 % accuracy in trials with modified choices for multimodal, unimodal and no feedback, respectively; p=1.04×10⁻⁶). Only feedback mice displayed movement refinements across training (p = 8.02×10⁻⁶, p = 4.07×10⁻¹⁸ and p = 0.2602 for multimodal, unimodal and no feedback, respectively). In summary, closed-loop sensory feedback accelerated instrumental acquisition, demonstrating its value as routine training protocol. HIGHLIGHTS Mice provided with feedback require fewer trials to reach expert stage in an instrumental learning task Mice provided with feedback perform with higher accuracy in trials involving ‘changes of mind’ Movement trajectories of mice provided with feedback undergo refinement as training advances Sensory feedback can be used as a training aid to accelerate instrumental learning

Annals of Neurology · May 2026

Auditory Stimulation of Slow-Wave Sleep Promotes Recovery after Brain Injury in an Animal Model (opens in a new tab)

Carlos G. Moreira, Adrian Müllner, Meltem Gönel, … Daniela Noain

Abstract

Objective Traumatic brain injury (TBI) significantly reduces the quality of life for millions of survivors worldwide, causing persistent brain tissue damage and cognitive impairments, with no established therapeutic interventions currently available. Slow‐wave activity, a hallmark of deep sleep, has been implicated in recovery after TBI, but pharmacological approaches to enhance it lack specificity and scalability, complicating efforts to identify slow‐wave activity as a direct mechanistic contributor and severely limiting clinical translation. Methods To overcome these limitations, we developed a preclinical closed‐loop auditory stimulation (CLAS) paradigm that targets sleep's slow waves, enabling highly specific and temporally precise enhancement of slow‐wave activity. Therefore, we delivered 30‐ms sound triggers targeting the up‐phase of real‐time detected slow‐waves (upCLAS: TBI n = 8), or no sound stimulation (mockCLAS: non‐TBI n = 8, TBI n = 7) during sleep to healthy controls (non‐TBI) or brain injured (TBI) rats. Concomitantly, we assessed the ability of upCLAS‐enhanced sleep to counteract brain tissue damage (primary outcome) and symptomatic sequelae (secondary outcome) of TBI. Results Bayesian analysis revealed that sound‐mediated slow‐wave activity enhancement: (1) reduces diffuse axonal injury, with TBI mockCLAS posterior estimates falling outside the 95% confidence intervals of both other groups, whereas the posterior distributions of TBI upCLAS and non‐TBI groups largely overlapped (~13% posterior differences >0), consistent with a negligible effect size between groups; (2) decreases demyelination, with approximately 97% posterior differences >0 between TBI mockCLAS and TBI upCLAS groups, compared to approximately 60% between non‐TBI and TBI upCLAS groups; and (3) preserves cognitive ability, with recognition indexes in the novel object recognition test significantly above chance level in non‐TBI (* p = 0.031) and TBI upCLAS (* p = 0.026) groups, in contrast to mockCLAS‐treated TBI rats ( p = 0.156), presenting pronounced cognitive deficit. Furthermore, microglial response to brain injury was increased by deep sleep enhancement, with reduced ionized calcium‐binding adaptor molecule 1+ area coverage in TBI upCLAS rats (* p = 0.0445) compared to non‐TBI ones. Interpretation These results unambiguously demonstrate slow‐wave activity enhancement confers robust disease modification following TBI while overcoming major limitations of other preclinical approaches. Our findings constitute proof‐of‐concept that boosted sleep intensity mitigates histopathological and cognitive sequelae of brain trauma, suggesting that a clinically relevant, nonobtrusive, sleep‐based therapy may represent a novel therapeutic intervention for TBI survivors. ANN NEUROL 2026;100:242–254

bioRxiv · May 2026

Differentiating the Physiological Signatures of Cochlear Synaptopathy and Inner Hair Cell Damage in a Chinchilla Model (opens in a new tab)

Andrew Sivaprakasam, Ivy Schweinzger, Michael Heinz

Abstract

Aging and noise over-exposure lead to complex mixtures of cochlear degradation that impair the structure and function of outer hair cells, inner hair cells (IHCs), and the cochlear nerve. However, IHC damage and cochlear synaptopathy (CS) remain pathologies “hidden” from the audiogram. This study aimed to identify and differentiate the physiological signatures of these two distinct pathologies using promising non-invasive assays: Envelope Following Responses (EFRs), Auditory Brainstem Response (ABRs), Wideband middle-ear reflexes (WB-MEMRs), and Distortion Product Otoacoustic Emissions (DPOAEs). We utilized chinchilla models of carboplatin-induced (CA) IHC damage (N = 4) and temporary threshold shift (TTS) noise-induced CS (N = 4) to compare the physiological signatures of each pathology. While both groups showed unchanged ABR thresholds two weeks after exposure, EFRs, ABR Wave V/I ratios, and MEMRs showed distinct effects of exposure. Despite non-elevated ABR-derived audiometric thresholds after exposure, both CA and TTS exposure resulted in severe in EFR “peakiness”, particularly for sharp, short-duty-cycle stimuli and significant elevations in ABR Wave V/I ratios. However, these findings were less-pronounced in the TTS-exposed animals. WB-MEMR amplitudes were decreased with elevated thresholds in both groups; this effect was more pronounced in the TTS group. Opposite trends in DPOAE amplitudes indicated that while both IHC damage and CS result in similar suprathreshold temporal coding deficits, effects on outer-hair-cell integrity and auditory efferent physiology may differ between the two pathologies. Future work and novel diagnostics should aim to distinguish these specific cochlear pathologies in clinical populations, or at the very least consider their overlap. Highlights A multi-metric diagnostic approach was used with chinchilla models of inner-hair-cell (IHC) damage and cochlear synaptopathy (CS). IHC damage and synaptopathy both cause suprathreshold deficits “hidden” from the audiogram. IHC damage results in more severe temporal envelope coding degradation than does synaptopathy. A combination of EFR “peakiness”, ABR Wave V/I ratio, and Wideband Middle Ear Muscle Reflex (WB-MEMR) appear to be useful measures for profiling IHC damage and CS.

Read all 95 papers →

How to cite the RX8

Name the model in your Methods so readers can find the equipment you used, for example:

RX8 Multi-I/O Processor (Tucker-Davis Technologies, Alachua, FL, USA)

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Designed for Dynamic Range & Closed Loop Control

The Sigma-Delta converters have a dynamic range of over 100 dB with a maximum bandwidth of 50 kHz, making them ideal for audio applications. The PCM converters, with almost no group delay, are excellent for controlling external devices such as microstimulators or motors in real-time.

Combine the RX8 with the RZ5D for a complete physiology workstation. A complete line of transducers and amplifiers are available to round out the system.