A low-power programmable neural spike detection channel with embedded calibration and data compression
A Rodriguez-Perez, J Ruiz-Amaya… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
This paper reports a programmable 400 μm pitch neural spike recording channel, fabricated
in a 130 nm standard CMOS technology, which implements amplification, filtering …
in a 130 nm standard CMOS technology, which implements amplification, filtering …
Computationally efficient neural feature extraction for spike sorting in implantable high-density recording systems
Modern microelectrode arrays acquire neural signals from hundreds of neurons in parallel
that are subsequently processed for spike sorting. It is important to identify, extract, and …
that are subsequently processed for spike sorting. It is important to identify, extract, and …
Neural spike sorting using binarized neural networks
D Valencia, A Alimohammad - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
This article presents the design and efficient hardware implementation of binarized neural
networks (BNNs) for brain-implantable neural spike sorting. In contrast to the conventional …
networks (BNNs) for brain-implantable neural spike sorting. In contrast to the conventional …
A 0.7 V, 40 nW compact, current-mode neural spike detector in 65 nm CMOS
In this paper, we describe a novel low power, compact, current-mode spike detector circuit
for real-time neural recording systems where neural spikes or action potentials (AP) are of …
for real-time neural recording systems where neural spikes or action potentials (AP) are of …
Real-time FPGA-based multichannel spike sorting using Hebbian eigenfilters
Real-time multichannel neuronal signal recording has spawned broad applications in neuro-
prostheses and neuro-rehabilitation. Detecting and discriminating neuronal spikes from …
prostheses and neuro-rehabilitation. Detecting and discriminating neuronal spikes from …
Partially binarized neural networks for efficient spike sorting
D Valencia, A Alimohammad - Biomedical Engineering Letters, 2023 - Springer
While brain-implantable neural spike sorting can be realized using efficient algorithms, the
presence of noise may make it difficult to maintain high-peformance sorting using …
presence of noise may make it difficult to maintain high-peformance sorting using …
A 400 MHz Wireless Neural Signal Processing IC With 625 On-Chip Data Reduction and Reconfigurable BFSK/QPSK Transmitter Based on Sequential Injection …
An 8-channel wireless neural signal processing IC, which can perform real-time spike
detection, alignment, and feature extraction, and wireless data transmission is proposed. A …
detection, alignment, and feature extraction, and wireless data transmission is proposed. A …
A DSP for sensing the bladder volume through afferent neural pathways
A Mendez, A Belghith, M Sawan - IEEE transactions on …, 2013 - ieeexplore.ieee.org
In this paper, we present a digital signal processor (DSP) capable of monitoring the urinary
bladder volume through afferent neural pathways. The DSP carries out real-time detection …
bladder volume through afferent neural pathways. The DSP carries out real-time detection …
Automatic threshold optimization in nonlinear energy operator based spike detection
In neural spike sorting systems, the performance of the spike detector has to be maximized
because it affects the performance of all subsequent blocks. Non-linear energy operator …
because it affects the performance of all subsequent blocks. Non-linear energy operator …
A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off‐Line and On‐Line Microelectrode Arrays Data …
Neuronal spike sorting algorithms are designed to retrieve neuronal network activity on a
single‐cell level from extracellular multiunit recordings with Microelectrode Arrays (MEAs). In …
single‐cell level from extracellular multiunit recordings with Microelectrode Arrays (MEAs). In …