25 papers · ranked by Valyu relevance
Pierre Yger, Giulia LB Spampinato, Elric Esposito, Baptiste Lefebvre + 9 more
'Stéphane Deny' 'Christophe Gardella' 'Marcel Stimberg' 'Florian Jetter' 'Guenther Zeck' 'Serge Picaud' 'Jens Duebel' 'Olivier Marre' 'David Kleinfeld'] In recent years, multielectrode arrays and large silicon probes have been developed to record simultaneously between hundreds and thousands of electrodes packed with a…
Alessio P Buccino, Cole L Hurwitz, Samuel Garcia, Jeremy Magland + 5 more
'Joshua H Siegle' 'Roger Hurwitz' 'Matthias H Hennig' 'Laura L Colgin' 'Laura L Colgin'] Much development has been directed toward improving the performance and automation of spike sorting. This continuous development, while essential, has contributed to an over-saturation of new, incompatible tools that hinders…
Hernan Gonzalo Rey, Carlos Pedreira, Rodrigo Quian Quiroga
Spike sorting is a crucial step to extract information from extracellular recordings. With new recording opportunities provided by the development of new electrodes that allow monitoring hundreds of neurons simultaneously, the scenario for the new generation of algorithms is both exciting and challenging. However, this…
Eugen-Richard Ardelean, Raluca Laura Portase
Spike sorting is the process of identifying the source neurons for neuronal activity recorded from extracellular electrodes. Traditional spike sorting pipelines separate the process into distinct feature extraction and clustering steps, which may not optimally capture the complex structure of spike data. This study…
Mohammad Hossein Nadian, Saeed Karimimehr, Jafar Doostmohammadi, Ali Ghazizadeh + 1 more
In this study, a new spike sorting method was developed based on a combination of two methods, t-Distributed Stochastic Neighbor Embedding (t-SNE) and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Parameters of both methods were simultaneously optimized using a Genetic Algorithm (GA) using a…
Felix Franke, David Jäckel, Jelena Dragas, Jan Müller + 3 more
'Milos Radivojevic' 'Douglas Bakkum' 'Andreas Hierlemann'] Understanding plasticity of neural networks is a key to comprehending their development and function. A powerful technique to study neural plasticity includes recording and control of pre- and post-synaptic neural activity, e.g., by using simultaneous…
Feng Cao, Zishuo Feng, Jicong Zhang, Wei Shi
Extracellular recordings are transient voltage fluctuations in the vicinity of neurons, serving as a fundamental modality in neuroscience for decoding brain activity at single-neuron resolution. Spike sorting, the process of attributing each detected spike to its corresponding neuron, is a pivotal step in brain sensing…
Yimu Zhang, Dongqi Han, Yansen Wang, Yu Gu + 1 more
Electrophysiology Simulation Authors: ['Yimu Zhang' 'Dongqi Han' 'Yansen Wang' 'Yu Gu' 'Dong‐Sheng Li'] Spike sorting is an essential process in neural recording, which identifies and separates electrical signals from individual neurons recorded by electrodes in the brain, enabling researchers to study how specific…
Alessio P. Buccino, Cole L. Hurwitz, Samuel Garcia, Jeremy Magland + 3 more
Much development has been directed towards improving the performance and automation of spike sorting. This continuous development, while essential, has contributed to an over-saturation of new, incompatible tools that hinders rigorous benchmarking and complicates reproducible analysis. To address these limitations, we…
Réka Barbara Bod, János Rokai, Domokos Meszéna, Richárd Fiáth + 2 more
'István Ulbert' 'Gergely Márton'] The meaning behind neural single unit activity has constantly been a challenge, so it will persist in the foreseeable future. As one of the most sourced strategies, detecting neural activity in high-resolution neural sensor recordings and then attributing them to their corresponding…
Nathan J. Hall, David J. Herzfeld, Stephen G. Lisberger
We evaluate existing spike sorters and present a new one that resolves many sorting challenges. The new sorter, called “full binary pursuit” or FBP, comprises multiple steps. First, it thresholds and clusters to identify the waveforms of all unique neurons in the recording. Second, it uses greedy binary pursuit to…
Hang Yu, Yu Qi, Gang Pan
Objective. Spike sorting, a critical step in neural data processing, aims to classify spiking events from single electrode recordings based on different waveforms. This study aims to develop a novel online spike sorter, NeuSort, using neuromorphic models, with the ability to adaptively adjust to changes in neural…
Tjitse van der Molen, Max Lim, Julian Bartram, Zhuowei Cheng + 8 more
With the use of high density multi electrode recording devices, electrophysiological signals resulting from action potentials of individual neurons can now be reliably detected on multiple adjacent recording electrodes both in vivo and in vitro. Spike sorting assigns these signals to putative neural sources. However…
Alexis Melot, Sean U. N. Wood, Yannick Coffinier, Pierre Yger + 1 more
- 1 Institut d'Électronique, Microélectronique et de Nanotechnologie, Université de Lille, Villeneuve d'Ascq, France - 2 NECOTIS Research Group, Université de Sherbrooke, Sherbrooke, QC, Canada - 3 Lille Neuroscience & Cognition, Université de Lille, Lille, France 4 Laboratoire Nanotechnologies Nanosystemes…
Sahar Hojjatinia, Constantino Lagoa
— Developing electrophysiological recordings of brain neuronal activity and their analysis provide a basis for exploring the structure of brain function and nervous system investigation. The recorded signals are typically a combination of spikes and noise. High amounts of background noise and possibility of electric…
Isha Gupta, Alexantrou Serb, Ali Khiat, Maria Trapatseli + 1 more
'Themistoklis Prodromakis'] Electrophysiological techniques have improved substantially over the past years to the point that neuroprosthetics applications1 are becoming viable2,3 . This evolution has been fuelled by the advancement of implantable microelectrode technologies 4,5 that have followed their own version of…
MohammadAli Shaeri, Amir M. Sodagar
On-implant spike sorting methods employ static feature extraction/selection techniques to minimize the hardware cost. Here we propose a novel framework for real-time spike sorting based on dynamic selection of features. We select salient features that maximize the geometric-mean of between-class distances as well as…
Zeinab Mohammadi, Daniel J Denman, Achim Klug, Tim C Lei
Objective: The sorting of neural spike data recorded by multichannel and high channel neural probes such as Neuropixels, especially in real-time, remains a significant technical challenge. Most neural spike sorting algorithms focus on sorting neural spikes post-hoc for high sorting accuracy-but reducing the processing…
Jasper Wouters, Fabian Kloosterman, Alexander Bertrand
Spike sorting is the process of retrieving the spike times of individual neurons that are present in an extracellular neural recording. Over the last decades, many spike sorting algorithms have been published. In an effort to guide a user towards a specific spike sorting algorithm, given a specific recording setting…
Soujatya Sarkar
—Brain Computer/Machine Interfaces (BCI/BMIs) have substantial potential for enhancing the lives of disabled individuals by restoring functionalities of missing body parts or allowing paralyzed individuals to regain speech and other motor capabilities. Due to severe health hazards arising from skull incisions required…
Anupam Mitra, Anagh Pathak, Kaushik Majumdar
Spikes in the membrane electrical potentials of neurons play a major role in the functioning of nervous systems of animals. Obtaining the spikes from different neurons has been a challenging problem for decades. Several schemes have been proposed for spike sorting to isolate the spikes of individual neurons from…
Babu Bassa
In this communication the author describes a software tool named "ChameleonSort". The software program, developed by the present author is useful in the sorting of biological sequence variants like those accumulating mutations while diverging from the common ancestors. Examples include viral protein variants, protein…
Authors not listed
Acetylcholine (ACh) is a key neurotransmitter involved in cognitive function, motor control, and synaptic modulation, yet its electrochemical inactivity and the rapid kinetics of exocytosis have hindered real-time quantal detection. Previous micrometer-scale enzymatic ACh biosensors enabled sub-millisecond…
Yuanmo Wang, Ajay Pradhan, Pankaj Gupta, Jörg Hanrieder + 2 more
Acetylcholine (ACh) is a critical neurotransmitter influencing various neurophysiological functions. Despite its significance, there is a lack of quantitative methods with adequate spatiotemporal resolution for recording single exocytotic efflux of ACh. In this study, we present an ultrafast amperometric ACh biosensor…
Farzaneh Asadpour, Xinwei Zhang, Mohammad Mazloum-Ardakani, Maysam Mirzaei + 2 more
We used liposomes loaded with different monoamines, dopamine (DA) and serotonin (5-HT), to simulate vesicular release and to monitor the dynamics of chemical release from isolated vesicles during vesicle impact electrochemical cytometry (VIEC). The release of DA from liposomes presents a longer release time compared to…