A5059936956- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Functional Brain Connectivity Studies
- Neuroscience and Neuropharmacology Research
- Cell Image Analysis Techniques
- Memory and Neural Mechanisms
- Vestibular and auditory disorders
- EEG and Brain-Computer Interfaces
- Receptor Mechanisms and Signaling
- Advanced MRI Techniques and Applications
- Coastal and Marine Management
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- Optical Imaging and Spectroscopy Techniques
- Behavioral and Psychological Studies
- Maritime Ports and Logistics
- Neurological disorders and treatments
- Attention Deficit Hyperactivity Disorder
- Parkinson's Disease Mechanisms and Treatments
- Image and Signal Denoising Methods
- Advanced Memory and Neural Computing
- Advanced Neuroimaging Techniques and Applications
- Nonlinear Dynamics and Pattern Formation
- Hearing, Cochlea, Tinnitus, Genetics
University of California, Los Angeles
2020-2025
Neuroelectronics Research Flanders
2014-2024
Olive View-UCLA Medical Center
2023
Institute of Neurobiology
2023
Universidade dos Açores
2023
Cold Spring Harbor Laboratory
2020-2021
Duke University
2016
University of Antwerp
2013-2016
University of Sheffield
2016
Abstract The visual system is composed of diverse cell types that encode distinct aspects the scene and may form separate processing channels. Here we present further evidence for hypothesis whereby functional groups in dorsal lateral geniculate nucleus (dLGN) are differentially modulated during behavior. Using simultaneous multi-electrode recordings dLGN primary cortex (V1) behaving mice, characterized impact locomotor activity on response amplitude, variability, correlation spatiotemporal...
To understand how the brain produces behavior, we must elucidate relationships between neuronal connectivity and function. The medial prefrontal cortex (mPFC) is critical for complex functions including decision-making mood. mPFC projection neurons collateralize extensively, but activity brain-wide are poorly understood. We performed whole-brain mapping fiber photometry to better circuits that control threat avoidance in male female mice. Using tissue clearing light sheet fluorescence...
Abstract Understanding how brain activity is related to animal behavior requires measuring multi-area interactions on multiple timescales. However, methods perform chronic, simultaneous recordings of neural from many areas are lacking. Here, we introduce a novel approach for independent chronic probe implantation that enables flexible, interrogation regions during head restrained or freely moving behavior. The approach, called indie ( in dependent d ovetail implants e lectrophysiology),...
Climbing fiber (CF) triggered complex spikes (CS) are massive depolarization bursts in the cerebellar Purkinje cell, showing several high frequency spikelet components (±600 Hz). Since its early observations, CS is known to vary shape. In this study we describe waveforms, extracellularly recorded awake primates (Macaca mulatta) performing saccades. Every cell analyzed showed a range of shapes with profoundly different duration and number spikelets. The initial part was rather constant but...
Synchronous spiking during cerebellar tasks has been observed across Purkinje cells: however, little is known about the intrinsic cellular mechanisms responsible for its initiation, cessation and stability. The Phase Response Curve (PRC), a simple input-output characterization of single cells, can provide insights into individual collective properties neurons networks, by quantifying impact an infinitesimal depolarizing current pulse on time occurrence subsequent action potentials, while...
Deep brain stimulation (DBS) is an established therapy for movement disorders, including tremor, dystonia, and Parkinson's disease, but the mechanisms of action are not well understood. Symptom suppression by DBS typically requires frequencies ≥ 100 Hz, when frequency increased above ~ 2 kHz, effectiveness in tremor declines (Benabid et al., 1991). We sought to test hypothesis that decline efficacy at high associated with desynchronization activity generated within a population stimulated...
Abstract A major goal of computational neuroscience is the development powerful data analyses that operate on large datasets. These form an essential toolset to derive scientific insights from new experiments. Unfortunately, a obstacle currently impedes progress: novel have hidden dependence upon complex computing infrastructure (e.g. software dependencies, hardware), acting as unaddressed deterrent potential analysis users. While existing are increasingly shared open source software, needed...
Abstract To understand how the brain produces behavior, we must elucidate relationships between neuronal connectivity and function. The medial prefrontal cortex (mPFC) is critical for complex functions including decision-making mood. mPFC projection neurons collateralize extensively, but activity brain-wide are poorly understood. We performed whole-brain mapping fiber photometry to better circuits that control threat avoidance. Using tissue clearing light sheet fluorescence microscopy mapped...
Existing work demonstrates that animals alternate between engaged and disengaged states during perceptual decision-making. To understand the neural signature of these states, we performed cortex-wide measurements activity in mice making auditory decisions. The trial-averaged magnitude was similar two states. However, trial-to-trial variance higher disengagement. this increased variance, trained separate linear encoding models on data from each state. demonstrated although task variables...
Experimental neuroscience is witnessing an increased interest in the development and application of novel often complex, closed-loop protocols, where stimulus applied depends real-time on response system. Recent applications range from implementation virtual reality systems for studying motor responses both mice zebrafish, to control seizures following cortical stroke using optogenetics. A key advantage techniques resides capability probing higher dimensional properties that are not directly...
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,...
ABSTRACT Social touch is critical for communication and to impart emotions intentions. However, certain autistic individuals experience aversion social touch, especially when it unwanted. We used a novel assay Neuropixels probes compare neural responses vs. non-social interactions in three relevant brain regions: vibrissal somatosensory cortex, tail of striatum, basolateral amygdala. find that wild type (WT) mice showed repeated presentations an inanimate object but not another mouse....
High-density electrode arrays used to read out neural activity will soon surpass the limits of amount data that can be transferred within reasonable energy budgets. This is true for wired brain implants when required bandwidth becomes very high, and even more so untethered require wireless transmission data. We propose an energy-efficient spike extraction solution high-density arrays, capable reducing by over 85%. combine temporal spatial analysis with low implementation complexity, where...
Experimental neuroscience is witnessing an increased interest in the development and application of novel often complex, closed-loop protocols, where stimulus applied depends real-time on response system. Recent applications range from implementation virtual reality systems for studying motor responses both mice1 zebrafish2, to control seizures following cortical stroke using optogenetics3. A key advantage techniques resides capability probing higher dimensional properties that are not...
A major goal of neuroscience is the development powerful data analyses that process large datasets. Unfortunately, modern have a hidden dependence upon complex computing infrastructure (e.g. software dependencies, hardware), acts as an unaddressed deterrent to analysis users. While existing are increasingly shared open source software, and knowledge needed deploy these efficiently still only accessible minority experts. In this work we develop Neuroscience Cloud Analysis As Service...