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Related Experiment Video

Updated: Jan 8, 2026

A Wireless, Bidirectional Interface for In Vivo Recording and Stimulation of Neural Activity in Freely Behaving Rats

A Wireless, Bidirectional Interface for In Vivo Recording and Stimulation of Neural Activity in Freely Behaving Rats

Published on: November 7, 2017

A wireless, 60-channel, AI-enabled neurostimulation platform.

Daniel S Rizzuto¹, Haydn G Herrema¹, Zhe Hu¹

¹Nia Therapeutics, Inc., Allston, 02134, MA, USA.

Brain Stimulation

|December 22, 2025

Summary

This summary is machine-generated.

The Smart Neurostimulation System (SNS) decodes brain states and enables closed-loop neuromodulation. This preclinical device shows promise for targeting brain networks involved in memory and cognition.

Keywords:

Artificial intelligence Biomarkers Brain computer interface Human memory Neuromodulation

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Related Experiment Videos

Last Updated: Jan 8, 2026

A Wireless, Bidirectional Interface for In Vivo Recording and Stimulation of Neural Activity in Freely Behaving Rats

A Wireless, Bidirectional Interface for In Vivo Recording and Stimulation of Neural Activity in Freely Behaving Rats

Published on: November 7, 2017

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Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation

Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation

Published on: February 23, 2020

Area of Science:

Neuroscience
Biomedical Engineering
Neuromodulation

Background:

Closed-loop neuromodulatory therapies necessitate advanced devices capable of real-time brain state decoding and multi-site stimulation.
Current technologies often lack the integration required for seamless operation in freely moving subjects.

Purpose of the Study:

To introduce and evaluate the Smart Neurostimulation System (SNS), a novel implantable device for closed-loop neuromodulation.
To demonstrate the device's capability for high-density neural recording, brain state decoding, and programmable stimulation in vivo.

Main Methods:

The Smart Neurostimulation System (SNS) is a cranially mounted implant featuring 60 configurable recording/stimulation channels, inductive power, and onboard spectral-feature classification.
Experiments were conducted in three freely-moving sheep, involving streaming of local-field potentials and parameter-sweep stimulation protocols.

Main Results:

Movement classifiers achieved high accuracy (average AUC > 0.95) through cross-validation.
Stimulation with varying amplitude and frequency resulted in observable increases in alpha and gamma band power in targeted cortical areas.

Conclusions:

The SNS successfully integrates high-density sensing, real-time brain state decoding, and closed-loop stimulation in a single, implantable device.
The study demonstrates the potential for biomarker-guided stimulation targeting distributed cortical networks crucial for memory and cognition.