A5102912055- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- EEG and Brain-Computer Interfaces
- Neuroscience and Neuropharmacology Research
- Neural Networks and Applications
- Transcranial Magnetic Stimulation Studies
- Advanced Chemical Sensor Technologies
- Muscle activation and electromyography studies
- COVID-19 diagnosis using AI
- Advanced Memory and Neural Computing
- Olfactory and Sensory Function Studies
- Multisensory perception and integration
- Graph Labeling and Dimension Problems
- Limits and Structures in Graph Theory
- Semantic Web and Ontologies
- CCD and CMOS Imaging Sensors
- Topic Modeling
- Action Observation and Synchronization
- Natural Language Processing Techniques
- Cell Image Analysis Techniques
- graph theory and CDMA systems
- Regional Socio-Economic Development Trends
- Psychology of Development and Education
- Motor Control and Adaptation
- Image and Signal Denoising Methods
University College London
2019-2025
Sainsbury Laboratory
2020-2024
Allen Institute
2024
Allen Institute for Neural Dynamics
2024
Harvard University
2024
University of Cambridge
2024
University of Sheffield
2023-2024
University College Lahore
2024
Discovery Institute
2023
Johns Hopkins University
2023
Measuring the dynamics of neural processing across time scales requires following spiking thousands individual neurons over milliseconds and months. To address this need, we introduce Neuropixels 2.0 probe together with newly designed analysis algorithms. The has more than 5000 sites is miniaturized to facilitate chronic implants in small mammals recording during unrestrained behavior. High-quality recordings long were reliably obtained mice rats six laboratories. Improved site density...
Sensory cortices can be affected by stimuli of multiple modalities and are thus increasingly thought to multisensory. For instance, primary visual cortex (V1) is influenced not only images but also sounds. Here we show that the activity evoked sounds in V1, measured with Neuropixels probes, stereotyped across neurons even mice. It independent projections from auditory resembles hippocampal formation, which receives little direct input. Its low-dimensional nature starkly contrasts...
Abstract To study the dynamics of neural processing across timescales, we require ability to follow spiking thousands individually separable neurons over weeks and months, during unrestrained behavior. address this need, introduce Neuropixels 2.0 probe together with novel analysis algorithms. The new has 5,000 sites is miniaturized such that two probes plus a headstage, recording 768 at once, weigh just 1 g, suitable for implanting chronically in small mammals. Recordings high quality...
Summary Neural activity spans multiple scales from milliseconds to months. Its evolution can be recorded with chronic electrodes, and especially high-density arrays such as Neuropixels probes, which measure each spike at tens of sites record hundreds neurons. These often units consistent waveforms over time, but produce vast amounts data that require new approaches for tracking neurons across recordings. To meet this need, we developed UnitMatch, an open-access pipeline operates after...
Neuropixels probes represent the state-of-the-art for high-yield electrophysiology in neuroscience: simultaneous recording of hundreds neurons is now routinely carried out head-restrained animals. In contrast, neural unrestrained animals, as well and tracking over days, remains challenging, though it possible using chronic implants. A major challenge availability simple methods that can be implemented with limited or no prior experience probes, while achieving reliable, reusable, versatile...
Abstract We applied transcranial alternating current stimulation (tACS) to the primary motor cortex (M1) at different frequencies during an index–thumb pinch-grip observation task. To estimate changes in corticospinal output, we used size of evoked potentials (MEPs) obtained by magnetic (TMS) M1 using online MRI-guided simultaneous TMS-tACS approach. The results beta-tACS confirm a non-selective increase excitability subjects rest; was observed for both tested hand muscles, first dorsal...
Accurate tracking of the same neurons across multiple days is crucial for studying changes in neuronal activity during learning and adaptation. New advances high density extracellular electrophysiology recording probes, such as Neuropixels, provide a promising avenue to accomplish this goal. Identifying recordings is, however, complicated by non-rigid movement tissue relative sites (drift) loss signal from some neurons. Here we propose neuron method that can identify cells independent firing...
Accurate tracking of the same neurons across multiple days is crucial for studying changes in neuronal activity during learning and adaptation. Advances high-density extracellular electrophysiology recording probes, such as Neuropixels, provide a promising avenue to accomplish this goal. Identifying recordings is, however, complicated by non-rigid movement tissue relative sites (drift) loss signal from some neurons. Here, we propose neuron method that can identify cells independent firing...
Experience-dependent plasticity in the adult visual cortex is enhanced by locomotion, a process mediated vasoactive intestinal peptide (VIP)-expressing interneurons. While VIP interneurons are known to signal through both Gamma-aminobutyric acid (GABA) and peptide, specific contributions of these pathways during different forms remain unclear. Monocular deprivation (MD) mice alters cortical responses, though more slowly differently than critical period early life. Here, we used two-photon...
Abstract With recent advances in natural language generation, risks associated with the rapid proliferation and misuse of generative models for malicious purposes steadily increase. Artificial text detection (ATD) has emerged to develop resources computational methods mitigate these risks, such as generating fake news scientific article reviews. This paper introduces corpus artificial texts (CoAT), a large-scale human-written generated Russian language. CoAT spans six domains comprises...
Neuropixels probes represent the state-of-the-art for high-yield electrophysiology in neuroscience: simultaneous recording of hundreds neurons is now routinely carried out head-restrained animals. In contrast, neural unrestrained animals, as well and tracking over days, remains challenging, though it possible using chronic implants. A major challenge availability simple methods that can be implemented with limited or no prior experience probes, while achieving reliable, reusable, versatile...
High-density microelectrode arrays (MEAs) have opened new possibilities for systems neuroscience in human and non-human animals, but brain tissue motion relative to the array poses a challenge downstream analyses, particularly recordings. We introduce DREDge (Decentralized Registration of Electrophysiology Data), robust algorithm which is well suited registration noisy, nonstationary extracellular electrophysiology In addition estimating from spikes action potential (AP) frequency band,...
Sensory cortices can be affected by stimuli of multiple modalities and are thus increasingly thought to multisensory. For instance, primary visual cortex (V1) is influenced not only images but also sounds. Here we show that the activity evoked sounds in V1 highly stereotyped across neurons even mice. It resembles measured elsewhere brain independent projections from auditory cortex. Its low-dimensional nature starkly contrasts high dimensional code uses represent images. Furthermore, this...
Accurate tracking of the same neurons across multiple days is crucial for studying changes in neuronal activity during learning and adaptation. Advances high-density extracellular electrophysiology recording probes, such as Neuropixels, provide a promising avenue to accomplish this goal. Identifying recordings is, however, complicated by non-rigid movement tissue relative sites (drift) loss signal from some neurons. Here, we propose neuron method that can identify cells independent firing...
Abstract Accurate tracking of the same neurons across multiple days is crucial for studying changes in neuronal activity during learning and adaptation. Advances high density extracellular electrophysiology recording probes, such as Neuropixels, provide a promising avenue to accomplish this goal. Identifying recordings is, however, complicated by non-rigid movement tissue relative sites (drift) loss signal from some neurons. Here we propose neuron method that can identify cells independent...
Accurate tracking of the same neurons across multiple days is crucial for studying changes in neuronal activity during learning and adaptation. Advances high density extracellular electrophysiology recording probes, such as Neuropixels, provide a promising avenue to accomplish this goal. Identifying recordings is, however, complicated by non-rigid movement tissue relative sites (drift) loss signal from some neurons. Here we propose neuron method that can identify cells independent firing...
Neuropixels probes represent the state-of-the-art for high-yield electrophysiology in neuroscience: simultaneous recording of hundreds neurons is now routinely carried out head-restrained animals. In contrast, neural unrestrained animals, as well and tracking over days, remains challenging, though it possible using chronic implants. A major challenge availability simple methods that can be implemented with limited or no prior experience probes, while achieving reliable, reusable, versatile...
Perseveration – repeating one choice when others would generate larger rewards is a common behavior, but neither its purpose nor neuronal mechanisms are understood. Here we demonstrate neural correlate and causal role of dorsal prefrontal cortex (area MOs) in perseveration mice performing dynamic reward learning task. An auditory go cue signaled to turn wheel either left or right, with the probability each action switching blocks. Mice perseverated, gaining suboptimal reward, were faster...
Представлены результаты численного решения систем линейных алгебраических уравнений (СЛАУ) с симметричными и несимметричными плохо обусловленными матрицами методом регуляризации. Рассматриваются положительно определенные, а также осцилляционные матрицы. В статье показано, что для регуляризации вычислительного процесса по методу Тихонова достаточно заменить матрицу A_n системы матрицей A_n+αE_n где E_n – единичная матрица, α некоторое положительное число (параметр регуляризации), которое...