Understanding How Differences in Morphology, Intrinsic Properties, and Extrinsic Synaptic Input Shape Spiking Activity in Sensory Neural Populations in vivo DOI
Amin Akhshi, Myriah Haggard, Mariana M. Márquez

et al.

Published: Jan. 1, 2023

It is generally agreed that, to understand how neural circuits composed of multiple cell types perform critical computations, it necessary categorize neurons into types. However, doing so remains challenging because factors including cellular morphology, expression intrinsic membrane proteins, and the amount extrinsic synaptic input vary across In particular, relationship between these spiking activity in vivo poorly understood. We used a computational model gain better understanding this for electrosensory pyramidal populations weakly electric fish. Our correctly reproduced heterogeneous under various conditions feedback inactivation serotonin application when fitted solely activity. Performing analysis on parameter variations needed account changes revealed morphological, intrinsic, shape vivo. methodology likely be applicable other systems species.

Language: Английский

The tuning of tuning: How adaptation influences single cell information transfer DOI Creative Commons
Fleur Zeldenrust, Niccolò Calcini,

Yan Xuan

et al.

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(5), P. e1012043 - e1012043

Published: May 13, 2024

Sensory neurons reconstruct the world from action potentials (spikes) impinging on them. To effectively transfer information about stimulus to next processing level, a neuron needs be able adapt its working range properties of stimulus. Here, we focus intrinsic neural that influence in cortical and how tightly their need tuned statistics for them effective. We start by measuring encoding putative excitatory inhibitory L2/3 mouse barrel cortex. Excitatory show high thresholds strong adaptation, making fire sparsely resulting compression information, whereas favour fast spiking more information. Next, turn computational modelling ask two transfer: 1) spike-frequency adaptation 2) shape IV-curve. find subthreshold (but not threshold) ‘h-current’, properly leak conductance can increase neuron, threshold range. Finally, verify effect IV-curve slope our experimental recordings form heterogeneous population than neurons. These relationships between features coding had been quantified before will aid computational, theoretical systems neuroscientists understanding neuronal populations alter properties, such as through impact neuromodulators. Why variability is larger ones an exciting question, which future research needed.

Language: Английский

Citations

7

Fractional order memcapacitive neuromorphic elements reproduce and predict neuronal function DOI Creative Commons

P. Vázquez-Guerrero,

Rohisha Tuladhar, Costas Psychalinos

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 9, 2024

There is an increasing need to implement neuromorphic systems that are both energetically and computationally efficient. also great interest in using electric elements with memory, memelements, can complex neuronal functions intrinsically. A feature not widely incorporated history-dependent action potential time adaptation which seen real cells. Previous theoretical work shows power-law history dependent spike adaptation, several brain areas species, be modeled fractional order differential equations. Here, we show spiking neurons implemented super-capacitors. The super-capacitors have derivative memcapacitive properties. We two circuits, a leaky integrate fire Hodgkin-Huxley. Both circuits optimal coding dynamics reproduced previously published computer simulations. However, the Hodgkin-Huxley circuit showed novel consistent criticality. compared responses of this recordings from weakly-electric fish been shown perform differentiation their sensory input. criticality was confirmed spontaneous live fish. Furthermore, predicted long-lasting stimulation corroborated experimentally. Our memcapacitors provide intrinsic memory dependence could allow implementation efficient devices. Memcapacitors static consume less energy than most studied memristors, thus allowing realization

Language: Английский

Citations

5

Electrosensory midbrain neurons optimally decode ascending input during object localization DOI Creative Commons
Myriah Haggard, Maurice J. Chacron

The Journal of Physiology, Journal Year: 2025, Volume and Issue: unknown

Published: May 5, 2025

Abstract Understanding how downstream brain areas decode sensory information represented by neural populations remains a central problem in neuroscience. While decoders that are optimized to extract the maximum amount of have been extensively used research, whether these physiologically realistic at best unclear. Here we show decoding scheme based on correlations between activities absence stimulation can predict responses as well optimal decoder. Simultaneous recordings were made from primary and their midbrain targets electrosensory system Apteronotus leptorhynchus . We found exhibited significant (i.e. ‘baseline’), with activity lagging short latency. then investigated combined downstream. Overall, decoder assigned weights each neuron was trained solely baseline performed stimulation. Interestingly, both greatly outperformed schemes for which every same weight or when shuffled, indicating identity is critical. Taken together, our results suggest uses strategies perform levels but qualitatively different those predicted solutions. image Key points How signals decoded give rise perception poorly understood. recorded targets. A solution responses. important qualitative differences solution. Our demonstrate do an strategy.

Language: Английский

Citations

0

Anatomical distribution and flight control function of wing sensory hairs in Seba's short‐tailed bat DOI
Brooke L. Quinn,

Jade L. Bajic,

S. Romo

et al.

The Anatomical Record, Journal Year: 2025, Volume and Issue: unknown

Published: May 14, 2025

Abstract Bats use sensory systems such as echolocation and vision to track prey, avoid obstacles, inform their trajectories. In addition, though less studied, bats also have extensive networks of hairs across wings. Preliminary evidence has shown that these are involved in flow sensing relay information during flight. However, little is known about the functional role flight control or potential intraspecific variation hair distribution. Through a morphological study specimens Seba's short‐tailed bat ( Carollia perspicillata ), we find relatively low variability distribution consistent regional density patterns. We compare kinematics from same species wind tunnel experiments before after removal ventral Depilation resulted changes kinematic variables at whole‐ within‐wingbeat levels, wingbeat frequency, chordwise wing folding, extension. Taken together, findings indicate function alter fine‐scale shape positioning, thereby impacting dynamics.

Language: Английский

Citations

0

A perspective on neuroethology: what the past teaches us about the future of neuroethology DOI Creative Commons
M. Jerome Beetz

Journal of Comparative Physiology A, Journal Year: 2024, Volume and Issue: 210(2), P. 325 - 346

Published: Feb. 27, 2024

Abstract For 100 years, the Journal of Comparative Physiology-A has significantly supported research in field neuroethology. The celebration journal’s centennial is a great time point to appreciate recent progress neuroethology and discuss possible avenues field. Animal behavior main source inspiration for neuroethologists. This illustrated by huge diversity investigated behaviors species. To explain at mechanistic level, neuroethologists combine neuroscientific approaches with sophisticated behavioral analysis. rapid technological neuroscience makes highly dynamic exciting research. summarize scientific neuroethology, I went through all abstracts last six International Congresses Neuroethology (ICNs 2010–2022) categorized them based on sensory modalities, experimental model species, topics. highlights gives us perspective field’s future. At end, highlight three topics that may, among others, influence future hope sharing my roots may inspire other scientists follow neuroethological approaches.

Language: Английский

Citations

2

Deep‐Learning‐Assisted Triboelectric Whisker Sensor Array for Real‐Time Motion Sensing of Unmanned Underwater Vehicle DOI
Bo Liu, Bowen Dong, Jin Hao

et al.

Advanced Materials Technologies, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 20, 2024

Abstract Aquatic animals can perceive their surrounding flow fields through highly evolved sensory systems. For instance, a seal whisker array understands the hydrodynamic field that allows seals to forage and navigate in dark environments. In this work, deep learning‐assisted underwater triboelectric sensor (TWSA) is designed for 3D motion estimation near‐field perception of unmanned vehicles. Each comprises high aspect ratio elliptical shaft, four sensing units at root flexible corrugated joint simulating skin on cheek surface aquatic animals. The TWSA effectively identifies velocity direction environments exhibits rapid response time 19 ms, sensitivity 0.2 V / ms −1 , signal‐to‐noise 58 dB. device also locks onto frequency upstream wake vortex, achieving minimal detection accuracy 81.2%. Moreover, when integrated with an vehicle, estimate trajectories assisted by trained learning model, mean square error ≈0.02. Thus, TWSA‐based holds immense potential enhancing vehicle navigation capabilities across wide range applications.

Language: Английский

Citations

2

Descending pathways increase sensory neural response heterogeneity to facilitate decoding and behavior DOI Creative Commons
Michael G. Metzen, Maurice J. Chacron

iScience, Journal Year: 2023, Volume and Issue: 26(7), P. 107139 - 107139

Published: June 16, 2023

The functional role of heterogeneous spiking responses otherwise similarly tuned neurons to stimulation, which has been observed ubiquitously, remains unclear date. Here, we demonstrate that such response heterogeneity serves a beneficial function is used by downstream brain areas generate behavioral follows the detailed timecourse stimulus. Multi-unit recordings from sensory pyramidal cells within electrosensory system Apteronotus leptorhynchus were performed and revealed highly similar for all cell types. By comparing coding properties given neural population before after inactivation descending pathways, found heterogeneities as decoding was then more robust addition noise. Taken together, our results not only reveal pathways actively promote type, but also uncover behavior.

Language: Английский

Citations

4

The tuning of tuning: how adaptation influences single cell information transfer DOI Creative Commons
Fleur Zeldenrust, Niccolò Calcini,

Xuan Yan

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2020, Volume and Issue: unknown

Published: Nov. 8, 2020

Abstract Sensory neurons reconstruct the world from action potentials (spikes) impinging on them. To effectively transfer information about stimulus to next processing level, a neuron needs be able adapt its working range properties of stimulus. Here, we focus intrinsic neural that influence in cortical and how tightly their need tuned statistics for them effective. We start by measuring encoding putative excitatory inhibitory L2/3 mouse barrel cortex. Excitatory show high thresholds strong adaptation, making fire sparsely resulting compression information, whereas favour fast spiking more information. Next, turn computational modelling ask two transfer: 1) spike-frequency adaptation 2) shape IV-curve. find subthreshold (but not threshold) ‘h-current’, properly leak conductance can increase neuron, threshold range. Finally, verify effect IV-curve slope our experimental recordings form heterogeneous population than neurons. These relationships between features coding had been quantified before will aid computational, theoretical systems neuroscientists understanding neuronal populations alter properties, such as through impact neuromodulators. Why variability is larger ones an exciting question, which future research needed. Author summary Intracellular synaptic input output spike train necessarily lossy. explicitly measure mutual neuron’s lossy By using input-output curve well adapts collectively determine rate loss. insights help both experimentalists modellers designing simulating experiments investigate network environment, instance effects

Language: Английский

Citations

6

Serotonin increases population coding of behaviorally relevant stimuli by enhancing responses of ON but not OFF-type sensory neurons DOI Creative Commons
Mariana M. Márquez, Maurice J. Chacron

Heliyon, Journal Year: 2023, Volume and Issue: 9(7), P. e18315 - e18315

Published: July 1, 2023

How neural populations encode sensory input to generate behavioral responses remains a central problem in systems neuroscience. Here we investigated how neuromodulation influences population coding of behaviorally relevant stimuli give rise behavior the electrosensory system weakly electric fish Apteronotus leptorhynchus. We performed multi-unit recordings from ON and OFF pyramidal cells response whose amplitude (i.e., envelope) varied time, before after electrical stimulation raphe nuclei. Overall, increased by ON- but not OFF-type cells, despite both cell types showing similar sensitivities stimulus at single neuron level. Surprisingly, only changes ON-type were correlated with responses. Taken together, our results show that differentially affects vs. order enhance perception input.

Language: Английский

Citations

2

Receptive field sizes and neuronal encoding bandwidth are constrained by axonal conduction delays DOI Creative Commons
Tim C. Hladnik, Jan Grewe

PLoS Computational Biology, Journal Year: 2023, Volume and Issue: 19(8), P. e1010871 - e1010871

Published: Aug. 11, 2023

Studies on population coding implicitly assume that spikes from the presynaptic cells arrive simultaneously at integrating neuron. In natural neuronal populations, this is usually not case-neuronal signaling takes time and populations cover a certain space. The spread of spike arrival times depends size, cell density axonal conduction velocity. Here we analyze consequences size delays stimulus encoding performance in electrosensory system electric fish Apteronotus leptorhynchus. We experimentally locate p-type electroreceptor afferents along rostro-caudal body axis relate locations to neurophysiological response properties. an information-theoretical approach homogeneous heterogeneous populations. As expected, amount information increases with and, average, encode better than average same-size population, if are compensated for. within receptive field strongly degrades high-frequency components. Receptive sizes typically found lateral line lobe A. leptorhynchus appear be good compromise between performance. limitations imposed by finite velocity relevant for any converging network as shown model LIF neurons. bandwidth stimuli maximum meaningful constrained may thus impact optimal design nervous systems.

Language: Английский

Citations

1