Neuromorphic hardware for somatosensory neuroprostheses
In individuals with sensory-motor impairments, missing limb functions can be restored using
neuroprosthetic devices that directly interface with the nervous system. However, restoring …
neuroprosthetic devices that directly interface with the nervous system. However, restoring …
Training spiking neural networks using lessons from deep learning
The brain is the perfect place to look for inspiration to develop more efficient neural
networks. The inner workings of our synapses and neurons provide a glimpse at what the …
networks. The inner workings of our synapses and neurons provide a glimpse at what the …
[HTML][HTML] Intra-body communications for nervous system applications: Current technologies and future directions
Abstract The Internet of Medical Things (IoMT) paradigm will enable next generation
healthcare by enhancing human abilities, supporting continuous body monitoring and …
healthcare by enhancing human abilities, supporting continuous body monitoring and …
Second-order level-crossing sampling analog to digital converter for electrocardiogram delineation and premature ventricular contraction detection
X Tang, M Renteria-Pinon… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article presents an electrocardiogram (ECG) delineation and arrhythmia heartbeat
detection system using a novel second-order level-crossing sampling analog to digital …
detection system using a novel second-order level-crossing sampling analog to digital …
An asynchronous wireless network for capturing event-driven data from large populations of autonomous sensors
Networks of spatially distributed radiofrequency identification sensors could be used to
collect data in wearable or implantable biomedical applications. However, the development …
collect data in wearable or implantable biomedical applications. However, the development …
Real-time in-sensor slope level-crossing sampling for key sampling points selection for wearable and iot devices
This article presents a slope level-crossing sampling analog-to-digital converter (ADC) that
selects key sampling points for quantization in real time during sensing. It only performs …
selects key sampling points for quantization in real time during sensing. It only performs …
An SRAM-based reconfigurable cognitive computation matrix for sensor edge applications
SY Peng, IC Liu, YH Wu, TJ Lin… - IEEE Journal of Solid …, 2023 - ieeexplore.ieee.org
A reconfigurable cognitive computation matrix (RCCM) in static random access memory
(SRAM) suitable for sensor edge applications is proposed in this article. The proposed …
(SRAM) suitable for sensor edge applications is proposed in this article. The proposed …
Exploring information-theoretic criteria to accelerate the tuning of neuromorphic level-crossing adcs
Level-crossing analog-to-digital converters (LC-ADCs) are neuromorphic, event-driven data
converters that are gaining much attention for resource-constrained applications where …
converters that are gaining much attention for resource-constrained applications where …
A 0.67-to-5.4 TSOPs/W Spiking Neural Network Accelerator With 128/256 Reconfigurable Neurons and Asynchronous Fully Connected Synapses
X Qi, X Li, Y Lou, Y Li, G Wang… - IEEE Journal of Solid …, 2024 - ieeexplore.ieee.org
Spiking neural networks (SNNs) are garnering increasing attention due to their potential to
explore the complexities of the human brain and utilize its capabilities. The broad spectrum …
explore the complexities of the human brain and utilize its capabilities. The broad spectrum …
A 62.2 dB SNDR Event-Driven Level-Crossing ADC with SAR-Assisted Delay Compensation Loop for Time-Sparse Biomedical Signal Acquisition
This paper proposed an event-driven clockless level-crossing ADC (LC-ADC) suitable for
biomedical applications. Thanks to the LC loop, the sampling rate of the converter …
biomedical applications. Thanks to the LC loop, the sampling rate of the converter …