Neural Representation of Multi-Object Attention: Evidence from Magnetoencephalography DOI
Chunyu Liu, Xinyue Yang

Published: Jan. 1, 2023

Multi-Object Attention can be achieved either by simultaneously splitting attention to multiple objects, or sequentially shifting spatial among objects. A growing body of research shows that implemented using the second way and sequential movement exhibits specific rhythmicity. However, neural mechanisms underlying this phenomenon are still not fully understood. To clarify issue, we conducted magnetoencephalography experiments on healthy participants subsequently employed machine learning statistical analyses delve into Attention. Our investigation revealed four single-object states decodable level sensor signals. Furthermore, these manifest dynamically rhythmically during These findings suggest attentional rhythm exhibited activity multi-object is fundamentally characterized a set basic units. This provides valuable information for future investigations cognitive functions

Language: Английский

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
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

Citations

0
Neural Representation of Multi-Object Attention: Evidence from Magnetoencephalography DOI
Chunyu Liu, Xinyue Yang

Published: Jan. 1, 2023

Multi-Object Attention can be achieved either by simultaneously splitting attention to multiple objects, or sequentially shifting spatial among objects. A growing body of research shows that implemented using the second way and sequential movement exhibits specific rhythmicity. However, neural mechanisms underlying this phenomenon are still not fully understood. To clarify issue, we conducted magnetoencephalography experiments on healthy participants subsequently employed machine learning statistical analyses delve into Attention. Our investigation revealed four single-object states decodable level sensor signals. Furthermore, these manifest dynamically rhythmically during These findings suggest attentional rhythm exhibited activity multi-object is fundamentally characterized a set basic units. This provides valuable information for future investigations cognitive functions

Language: Английский

Citations

0