Beyond rhythm – a framework for understanding the frequency spectrum of neural activity DOI Creative Commons
Quentin Perrenoud, Jessica A. Cardin

Frontiers in Systems Neuroscience, Journal Year: 2023, Volume and Issue: 17

Published: Aug. 31, 2023

Cognitive and behavioral processes are often accompanied by changes within well-defined frequency bands of the local field potential (LFP i.e., voltage induced neuronal activity). These detectable in domain using Fourier transform interpreted as oscillations. However, aside some well-known exceptions, underlying such difficult to track time, making their oscillatory nature hard verify. In addition, many non-periodic neural can also have spectra that emphasize specific frequencies. Thus, notion spectral reflect oscillations is likely too restrictive. this study, we use a simple yet versatile framework understand recordings. Using simulations, derive periodic, quasi-periodic having diverse waveforms, illustrating how these attributes shape signatures. We then show sum energy simulated real-world recording scenarios. find power essentially determined two aspects: (1) distribution events time (2) waveform single events. Taken together, work guides interpretation spectrum recordings indicates increases do not necessarily periodic activity.

Language: Английский

Multifunctional Conductive Hydrogel Interface for Bioelectronic Recording and Stimulation DOI
Hao Tang, Yuanfang Li,

Shufei Liao

et al.

Advanced Healthcare Materials, Journal Year: 2024, Volume and Issue: 13(22)

Published: May 22, 2024

The past few decades have witnessed the rapid advancement and broad applications of flexible bioelectronics, in wearable implantable electronics, brain-computer interfaces, neural science technology, clinical diagnosis, treatment, etc. It is noteworthy that soft elastic conductive hydrogels, owing to their multiple similarities with biological tissues terms mechanics, water-rich, functions, successfully bridged gap between rigid electronics biology. Multifunctional hydrogel emerging as a new generation promising material candidates, authentically established highly compatible reliable, high-quality bioelectronic particularly recording stimulation. This review summarizes basis design principles involved constructing systematically discusses fundamental mechanism unique advantages bioelectrical interfacing surface. Furthermore, an overview state-of-the-art manufacturing strategies for interfaces enhanced biocompatibility integration system presented. finally exemplifies unprecedented impetus toward stimulation, especially integrated systems, concludes perspective expectation bioelectronics biomedical applications.

Language: Английский

Citations

22

High-density electrode recordings reveal strong and specific connections between retinal ganglion cells and midbrain neurons DOI Creative Commons
Jérémie Sibille, Carolin Gehr, Jonathan I. Benichov

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Sept. 5, 2022

Abstract The superior colliculus is a midbrain structure that plays important roles in visually guided behaviors mammals. Neurons the receive inputs from retinal ganglion cells but how these are integrated vivo unknown. Here, we discovered high-density electrodes simultaneously capture activity of axons and their postsynaptic target neurons colliculus, vivo. We show cell mouse provide single precise representation retina as input to colliculus. This isomorphic mapping builds scaffold for retinotopic wiring functionally specific connection strength. Our methods broadly applicable, which demonstrate by recording optic tectum zebra finches. find common rules mice finches visual world encoded connections retinorecipient areas.

Language: Английский

Citations

53

Latent neural population dynamics underlying breathing, opioid-induced respiratory depression and gasping DOI Creative Commons
Nicholas E. Bush, Jan‐Marino Ramirez

Nature Neuroscience, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 5, 2024

Abstract Breathing is vital and must be concurrently robust flexible. This rhythmic behavior generated maintained within a rostrocaudally aligned set of medullary nuclei called the ventral respiratory column (VRC). The properties individual VRC are well known, yet technical challenges have limited interrogation entire population simultaneously. Here we characterize over 15,000 units using high-density electrophysiology, opto-tagging histological reconstruction. Population dynamics analysis reveals consistent rotational trajectories through low-dimensional neural manifold. These rotations even during opioid-induced depression. During severe hypoxia-induced gasping, reconfigure from to all-or-none, ballistic efforts. Thus, latent provide unifying lens onto activities large, heterogeneous populations neurons involved in simple, vital, breathing, describe how these respond variety perturbations.

Language: Английский

Citations

11

Functional cell types in the mouse superior colliculus DOI Creative Commons
Ya-tang Li, Markus Meister

eLife, Journal Year: 2023, Volume and Issue: 12

Published: April 19, 2023

The superior colliculus (SC) represents a major visual processing station in the mammalian brain that receives input from many types of retinal ganglion cells (RGCs). How parallel channels exist SC, and what information does each encode? Here, we recorded mouse superficial SC neurons under battery stimuli including those used for classification RGCs. An unsupervised clustering algorithm identified 24 functional based on their responses. They fall into two groups: one responds similarly to RGCs another with more diverse specialized stimulus selectivity. second group is dominant at greater depths, consistent vertical progression signal SC. Cells same type tend cluster near other anatomical space. Compared retina, representation has lower dimensionality, sifting process along pathway.

Language: Английский

Citations

23

Birds multiplex spectral and temporal visual information via retinal On- and Off-channels DOI Creative Commons
Marvin Seifert, Paul Roberts, George Kafetzis

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Aug. 31, 2023

In vertebrate vision, early retinal circuits divide incoming visual information into functionally opposite elementary signals: On and Off, transient sustained, chromatic achromatic. Together these signals can yield an efficient representation of the scene for transmission to brain via optic nerve. However, this long-standing interpretation function is based on mammals, it unclear whether functional arrangement common all vertebrates. Here we show that male poultry chicks use a fundamentally different strategy communicate from eye brain. Rather than using pairs output channels, encode polarity, timing, spectral composition stimuli in highly correlated manner: fast achromatic encoded by Off-circuits, slow overwhelmingly On-circuits. Moreover, most channels combine On- Off-circuits simultaneously encode, or multiplex, both information. Our results birds conform evidence fish, amphibians, reptiles which retain full ancestral complement four types cone photoreceptors.

Language: Английский

Citations

21

Ultra-high density electrodes improve detection, yield, and cell type identification in neuronal recordings DOI Creative Commons
Ye Z, Andrew M. Shelton, Jordan R Shaker

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 24, 2023

To understand the neural basis of behavior, it is essential to sensitively and accurately measure activity at single neuron spike resolution. Extracellular electrophysiology delivers this, but has biases in neurons detects imperfectly resolves their action potentials. minimize these limitations, we developed a silicon probe with much smaller denser recording sites than previous designs, called Neuropixels Ultra (

Language: Английский

Citations

18

A deep-learning strategy to identify cell types across species from high-density extracellular recordings DOI Creative Commons
Maxime Beau, David J. Herzfeld, Francisco Naveros

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 31, 2024

Abstract High-density probes allow electrophysiological recordings from many neurons simultaneously across entire brain circuits but don’t reveal cell type. Here, we develop a strategy to identify types extracellular in awake animals, revealing the computational roles of with distinct functional, molecular, and anatomical properties. We combine optogenetic activation pharmacology using cerebellum as testbed generate curated ground-truth library properties for Purkinje cells, molecular layer interneurons, Golgi mossy fibers. train semi-supervised deep-learning classifier that predicts greater than 95% accuracy based on waveform, discharge statistics, recorded neuron. The classifier’s predictions agree expert classification different probes, laboratories, functionally cerebellar regions, animal species. Our extends power modern dynamical systems analyses by unique contributions simultaneously-recorded during behavior.

Language: Английский

Citations

7

PhysMAP - interpretablein vivoneuronal cell type identification using multi-modal analysis of electrophysiological data DOI Creative Commons
Eric Lee,

Asım Emre Gül,

Greggory Heller

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 28, 2024

Abstract Cells of different types perform diverse computations and coordinate their activity during sensation, perception, action. While electrophysiological approaches can measure the many neurons simultaneously, assigning cell type labels to these is an open problem. Here, we develop PhysMAP, a framework that weighs multiple modalities simultaneously in unsupervised manner obtain interpretable representation separates by type. PhysMAP superior any single modality identifying neuronal such as excitatory pyramidal, PV + interneurons, SOM interneurons with high confidence both juxtacellular extracellular recordings from areas mouse brain. built on ground truth data be used for classifying new existing datasets, thus facilitate simultaneous assessment coordinated dynamics behavior.

Language: Английский

Citations

7

Development and organization of the retinal orientation selectivity map DOI Creative Commons
Dominic J. Vita,

Fernanda S. Orsi,

Nathan G. Stanko

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: June 6, 2024

Abstract Orientation or axial selectivity, the property of neurons in visual system to respond preferentially certain angles stimuli, plays a pivotal role our understanding perception and information processing. This computation is performed as early retina, although much work has established cellular mechanisms retinal orientation how this organized across retina unknown. Using large dataset collected mouse we demonstrate functional organization rules selectivity. First, identify three major classes cells that are selective match previous descriptions. Second, show one predominantly represented predominant changes function location. Third, neural activity little on Lastly, use silico modeling followed by validation experiments overrepresented aligns along concentric axes. These results that, similar direction selectivity map retina.

Language: Английский

Citations

7

Retinal origin of orientation but not direction selective maps in the superior colliculus DOI Creative Commons
Daniel de Malmazet, Norma K. Kühn, Chen Li

et al.

Current Biology, Journal Year: 2024, Volume and Issue: 34(6), P. 1222 - 1233.e7

Published: Feb. 27, 2024

Language: Английский

Citations

6