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Interfacing PDM MEMS microphones with PFM spiking systems: Application for Neuromorphic Auditory Sensors [article]

Angel Jimenez-Fernandez, Daniel Gutierrez-Galan, Antonio Rios-Navarro, Juan Pedro Dominguez-Morales, Gabriel Jimenez-Moreno
2020 arXiv   pre-print
The PSI achieves a Total Harmonic Distortion (THD) of -39.51dB and a Signal-to-Noise Ratio (SNR) of 59.12dB, demands less than 1\% of the resources of a Spartan-6 FPGA and has a power consumption below  ...  These spikes represent the input signal of the NAS, avoiding the analog or digital to spike conversion, and therefore improving the time response of the NAS.  ...  Second-order Spikes Band-Pass Filter (SBPF) The next stage is a Spike Band-Pass Filter (SBPF), whose functionality is detailed in [21] .  ... 
arXiv:1905.00390v2 fatcat:ru6yvhhzh5anfjq7v4gwmdg4fa

An FPGA-Based Neuron Activity Extraction Unit for a Wireless Neural Interface

Mehdi Hasan Chowdhury, Sahar Elyahoodayan, Dong Song, Ray C. C. Cheung
2020 Electronics  
This paper describes the field programmable gate array (FPGA) prototype design of a low-power multichannel neuron activity extraction unit suitable for a wireless neural interface.  ...  We implemented this scheme in Xilinx Zynq-7000 FPGA, which can be used as an intermediate transition towards the application specific integrated circuit (ASIC) design for on-chip neural signal processing  ...  The design parameters were selected as follows: stop-band frequency, F stop = 300 Hz; pass-band frequency, F pass = 400 Hz; stop-band attenuation, A stop = 80 dB; pass-band attenuation, A pass = 1 dB;  ... 
doi:10.3390/electronics9111834 fatcat:44wnqfsy5zdwtp2dep7dfpqcei

Artificial TMAP Signal Generator Based on One- Bit Sigma Delta Modulator for MEC Test

Assad I. Alshueli1
2022 Zenodo  
The current study proposes three electrode- channels with time delay of artificial nerve signals generator utilized with only a active low pass filter and a Field Programmable Gate Array (FPGA).  ...  In addition, the design included three channels of white Gaussian noise uncorrelated for each TMAP signal to simulate the real nerve noise environment, which surrounds the electrode cuff in experimental  ...  The digital controller for the emulated nerve spike generation system is FPGA-based, and it Figure 2 2 Figure 2 displays active low pass filter using operation amplifier, which is made up of a basic  ... 
doi:10.5281/zenodo.6900063 fatcat:sulvm3t5wrecriubyxur22fnwq

SpikeOnChip : A Custom Embedded Platform for Neuronal Activity Recording and Analysis

Rick Wertenbroek, Yann Thoma, Flavio Maurizio Mor, Sara Grassi, Marc Olivier Heuschkel, Adrien Roux, Luc Stoppini
2021 IEEE Transactions on Biomedical Circuits and Systems  
This led to the choice of a Field Programmable Gate Array System-On-Chip platform.  ...  The SpikeOnChip platform was developed in the context of automated drug testing and toxicology assessments on neural tissue made from human induced pluripotent stem cells.  ...  ACKNOWLEDGMENT The authors would like to thank all the people who have contributed to this work: Loris Gomez Baisac, Emmanuel Eggermann, Daniel Gachet, Arnaud Giner, Yannis Jeannotat, Alexandre Malki,  ... 
doi:10.1109/tbcas.2021.3097833 pmid:34280107 fatcat:yec2pjmexjbaxcopxjo6bhyizq

Increasing the Sensitivity of On-Chip Digital Thermal Sensors with Pre-Filtering

Zhimin Chen, Raghunandan Nagesh, Anand Reddy, Patrick Schaumont
2009 2009 IEEE Computer Society Annual Symposium on VLSI  
This is made possible by pre-filtering of the temperature value. A demonstrator is implemented in an ordinary FPGA, in which the SPE is a person's finger touching on the FPGA package.  ...  In this paper, we present a method to increase the sensitivity of an on-chip digital thermal sensor.  ...  The high-pass filter blocks most of the frequency components that are lower than f m . In combination, these two filters form a band-pass filter.  ... 
doi:10.1109/isvlsi.2009.31 dblp:conf/isvlsi/ChenNRS09 fatcat:lq2jgbj5ybapbm2s7jwf7rfiwq

A New Method for Neural Spike Alignment: The Centroid Filter

Benjamin W. Metcalfe, Christopher T. Clarke, Nick Donaldson, John Taylor
2017 IEEE transactions on neural systems and rehabilitation engineering  
Our method thus has the potential to influence significantly the design of electrophysiological recording systems in the future.  ...  Further, we show that the centroid method lends itself particularly well to hardware realisation and we present results from a low-power implementation that operates on an FPGA, consuming 10 times less  ...  electrode is band-pass filtered to remove the frequency components of interference and noise that are out of band.  ... 
doi:10.1109/tnsre.2017.2716822 pmid:28641265 fatcat:g62lvosmyjdajn5uo7hqu6mev4

A FPGA real-time model of single and multiple visual cortex neurons

Guangxing Li, Vargha Talebi, Ahmad Yoonessi, Curtis L. Baker
2010 Journal of Neuroscience Methods  
Here we present a Field Programmable Gate Array (FPGA)-based spiking model of visual cortex neurons, which has the ability to simulate three independent neurons and output analog spike waveform signals  ...  Users can customize their model neurons by downloading modifications to the FPGA with varying parameter values, particularly desired features, or qualitatively different models of their own design.  ...  Acknowledgements A brief report of this work has been published in abstract form (Li et al., 2009) .  ... 
doi:10.1016/j.jneumeth.2010.07.031 pmid:20705096 fatcat:fqeogtyc3ngm5mg7rvsd4javii

A Scalable Real-Time Architecture for Neural Oscillation Detection and Phase-Specific Stimulation [article]

Christopher Thomas, Thilo Womelsdorf
2021 arXiv   pre-print
Oscillations in the local field potential (LFP) of the brain are key signatures of neural information processing.  ...  Existing systems for phase-specific brain stimulation typically either do not offer real-time timing guarantees (desktop computer based systems) or require extensive programming of vendor-specific equipment  ...  Designed transfer functions for infinite impulse response band-pass filters.  ... 
arXiv:2009.07264v3 fatcat:mcqju5xc7nej7o6sqvslwnhpey

Biomimetic neural network for modifying biological dynamics during hybrid experiments

Matthieu Ambroise, Stefano Buccelli, Filippo Grassia, Antoine Pirog, Yannick Bornat, Michela Chiappalone, Timothée Levi
2017 Artificial Life and Robotics  
Electrical stimulation of nerve tissue and recording of neural electrical activity are the basis of emerging prostheses and treatments for many neurological disorders.  ...  The ANN used in the following experiments was made up of 20 excitatory neurons with inhibition synapse and with synaptic plasticity to design Central Pattern Generator (CPG).  ...  ACKNOWLEDGMENTS The research leading to these results has received funding from the European Union's Seventh Framework Programme (ICTFET FP7/2007-2013, FET Young Explorers scheme) under grant agreement  ... 
doi:10.1007/s10015-017-0366-1 fatcat:aehudp76nnh33o7ahm4qlzrnva

ELECTROCARDIOGRAM (ECG) SIGNAL PROCESSING ON FPGA FOR EMERGING HEALTHCARE APPLICATIONS

M.RAVI KUMAR
2012 International Journal of Electronics Signals and Systems  
In this project an ECG signal processing module will be implemented in VHDL on FPGA platform. The digital filtering will be carried out with low pass FIR architecture.  ...  The filtered signal is subjected to Short Time Fourier transform by which lot of inferences can be made by medical experts.  ...  In view of this, the portable ECG monitor both reduce the hardware circuits and get the better ECG signal, this paper proposes the use of both 50HZ in FPGA filtering and 0.05 ~ 100Hz band-pass filtering  ... 
doi:10.47893/ijess.2012.1089 fatcat:gko43hosp5fxfc2tmptuyxqk4a

A novel cochlea partition model based on asynchronous bifurcation processor

Hironori Ishimoto, Masato Izawa, Hiroyuki Torikai
2015 Nonlinear Theory and Its Applications IEICE  
It is shown that the presented model can reproduce typical nonlinear responses of partitions of biological cochleae such as nonlinear DC response, nonlinear band-pass filtering, and adaptation.  ...  dumpers for the basilar membrane), inner hair cells (neural transducers), and spiral ganglion cells (parallel spikes density modulators).  ...  Also, the FPGA experiments validated the reproductions of these nonlinear responses.  ... 
doi:10.1587/nolta.6.207 fatcat:weihxgr7wnhbrdrlnyjqpggmqe

Compact Standalone Platform for Neural Recording with Real-Time Spike Sorting and Data Logging [article]

Song Luan, Ian Williams, Michal Maslik, Yan Liu, Felipe de Carvalho, Andrew Jackson, Rodrigo Quian Quiroga, Timothy G Constandinou
2017 bioRxiv   pre-print
The system can successfully record 32 channels of raw and/or spike sorted data for well over 24 hours at a time and is robust to power dropouts during battery changes as well as SD card replacement.  ...  To enable validation the system is capable of logging the high bandwidth raw data as well as the spike sorted data. Main results.  ...  Wei Xu from Newcastle University for their support on in-vivo experiments and data analysis.  ... 
doi:10.1101/186627 fatcat:4j34umceifgmdmcuxkszqwnk5m

A miniaturized brain-machine-spinal cord interface (BMSI) for closed-loop intraspinal microstimulation

Shahab Shahdoost, Shawn Frost, David Guggenmos, Jordan Borrell, Caleb Dunham, Scott Barbay, Randolph Nudo, Pedram Mohseni
2016 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS)  
Detail presentation of high pass filter and spike discriminator blocks. Conceptual illustration of the time-amplitude window discriminator is shown on top left.  ...  In one mode, it transmits the digitized recorded raw data or high-pass filtered data on one channel together with its corresponding spike discriminator output (SDO) signal.  ... 
doi:10.1109/biocas.2016.7833807 dblp:conf/biocas/ShahdoostFGBDBN16 fatcat:4wdn3befcrdhndquxatoam4wpy

NeuroBetaMed: A re-configurable wavelet-based event detection circuit for in vitro biological signals

Adam Quotb, Yannick Bornat, Matthieu Raoux, Jochen Lang, Sylvie Renaud
2012 2012 IEEE International Symposium on Circuits and Systems  
We present a reconfigurable acquisition and wavelet-based detection circuit, NeuroBetaMed, for in vitro biological signals. It is implemented on a configurable digital integrated circuit (FPGA).  ...  It is designed for noisy signals like those recorded from in vitro cellular preparations, by extracellular electrodes.  ...  ACKNOWLEDGMENT We thank Gilles N'Kaoua for technical support. This work was supported by the ANR program HYBIOPACS (ANR-2010-EMMA-031-01).  ... 
doi:10.1109/iscas.2012.6271542 dblp:conf/iscas/QuotbBRLR12 fatcat:vibhr6xx6jez5opsrprxaird2q

An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG

Mohammadali Sharifshazileh, Karla Burelo, Johannes Sarnthein, Giacomo Indiveri
2021 Nature Communications  
Here we present a neuromorphic system that combines a neural recording headstage with a spiking neural network (SNN) processing core on the same die for processing iEEG, and show how it can reliably detect  ...  An example is the analysis of intracranial EEG (iEEG) from epilepsy patients for the detection of High Frequency Oscillations (HFO), which are a biomarker for epileptogenic brain tissue.  ...  We thank our colleagues Ole Richter and Ning Qiao for the design of the SNN cores on the chip presented, as well as the design of the spike encoders and asynchronous buffers in the analog headstage.  ... 
doi:10.1038/s41467-021-23342-2 pmid:34035249 fatcat:diqxwvvqjrcnphq77m6byj53hi
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