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Several experiments and models have highlighted the importance of neuronal heterogeneity in brain dynamics and function. However, how such a cell-to-cell diversity can affect cortical computation, synchronization, and neuronal communication…

神经元与认知 · 定量生物学 2021-04-07 Katiele V. P. Brito , Fernanda Selingardi Matias

Sensory neurons often have variable responses to repeated presentations of the same stimulus, which can significantly degrade the stimulus information contained in those responses. This information can in principle be preserved if…

神经元与认知 · 定量生物学 2019-04-24 Matthew R Whiteway , Karolina Socha , Vincent Bonin , Daniel A Butts

Advances in large-scale neural recordings have expanded our ability to describe the activity of distributed brain circuits. However, understanding how neural population dynamics differ across regions and behavioral contexts remains…

We consider the information transmission problem in neurons and its possible implications for learning in neural networks. Our approach is based on recent developments in statistical physics and complexity science. Combining sensory…

神经元与认知 · 定量生物学 2025-09-30 Siddharth Kackar

Human visual perception is a complex, dynamic and fluctuating process. In addition to the incoming visual stimulus, it is affected by many other factors including temporal context, both external and internal to the observer. In this study…

神经元与认知 · 定量生物学 2020-07-01 Urit Gordon , Shimon Marom , Naama Brenner

Neural correlations play a critical role in sensory information coding. They are of two kinds: signal correlations, when neurons have overlapping sensitivities, and noise correlations from network effects and shared noise. In experiments…

神经元与认知 · 定量生物学 2025-07-03 Gabriel Mahuas , Thomas Buffet , Olivier Marre , Ulisse Ferrari , Thierry Mora

Neural systems process information across a broad range of intrinsic timescales, both within and across cortical areas. While such diversity is a hallmark of biological networks, its computational role in nonlinear information processing…

神经元与认知 · 定量生物学 2025-06-10 Tomoki Kurikawa

Recent advancements in measurement techniques have resulted in an increasing amount of data on neural activities recorded in parallel, revealing largely heterogeneous correlation patterns across neurons. Yet, the mechanistic origin of this…

无序系统与神经网络 · 物理学 2024-04-26 Moritz Layer , Moritz Helias , David Dahmen

To evaluate the nature of the neural code in the cerebral cortex, we have used a combination of theory and experiment to assess how information is represented in a realistic cortical population response. We have shown how a sensory stimulus…

神经元与认知 · 定量生物学 2008-03-28 L. C. Osborne , S. E. Palmer , S. G. Lisberger , W. Bialek

The human brain prioritises relevant sensory information to perform different tasks. Enhancement of task-relevant information requires flexible allocation of attentional resources, but it is still a mystery how this is operationalised in…

神经元与认知 · 定量生物学 2021-02-22 Tijl Grootswagers , Amanda K. Robinson , Sophia M. Shatek , Thomas A. Carlson

The detection of neuronal communities is addressed with basis on two important concepts from neuroscience: facilitation of neuronal firing and nearly simultaneous beginning of activation of sets of neurons. More specifically,…

物理与社会 · 物理学 2008-01-29 Luciano da Fontoura Costa

Cortical circuits exhibit high levels of response diversity, even across apparently uniform neuronal populations. While emerging data-driven approaches exploit this heterogeneity to infer effective models of cortical circuit computation…

神经元与认知 · 定量生物学 2025-11-06 Mohammadreza Soltanipour , Stefan Treue , Fred Wolf

Recordings in the human medial temporal lobe have found many neurons that respond to pictures (and related stimuli) of just one particular person out of those presented. It has been proposed that these are concept cells, responding to just…

神经元与认知 · 定量生物学 2015-07-22 Andrew Magyar , John Collins

Primary visual cortex (V1) is the first stage of cortical image processing, and a major effort in systems neuroscience is devoted to understanding how it encodes information about visual stimuli. Within V1, many neurons respond selectively…

神经元与认知 · 定量生物学 2017-06-21 William F. Kindel , Elijah D. Christensen , Joel Zylberberg

Even when driven by the same stimulus, neuronal responses are well-known to exhibit a striking level of spiking variability. In-vivo electrophysiological recordings also reveal a surprisingly large degree of variability at the subthreshold…

神经元与认知 · 定量生物学 2025-03-19 Logan A. Becker , Francois Baccelli , Thibaud Taillefumier

Redundancies and correlations in the responses of sensory neurons seem to waste neural resources but can carry cues about structured stimuli and may help the brain to correct for response errors. To assess how the retina negotiates this…

神经元与认知 · 定量生物学 2014-03-05 K. D. Simmons , J. S. Prentice , G. Tkacik , J. Homann , H. K. Yee , S. E. Palmer , P. C. Nelson , V. Balasubramanian

The co-occurrence of action potentials of pairs of neurons within short time intervals is known since long. Such synchronous events can appear time-locked to the behavior of an animal and also theoretical considerations argue for a…

神经元与认知 · 定量生物学 2022-05-17 Moritz Helias , Tom Tetzlaff , Markus Diesmann

The principles of neural encoding and computations are inherently collective and usually involve large populations of interacting neurons with highly correlated activities. While theories of neural function have long recognized the…

神经元与认知 · 定量生物学 2019-05-14 Christophe Gardella , Olivier Marre , Thierry Mora

Reaction-times in perceptual tasks are the subject of many experimental and theoretical studies. With the neural decision making process as main focus, most of these works concern discrete (typically binary) choice tasks, implying the…

神经元与认知 · 定量生物学 2012-03-01 Laurent Bonnasse-Gahot , Jean-Pierre Nadal

The mammalian brain is a metabolically expensive device, and evolutionary pressures have presumably driven it to make productive use of its resources. For sensory areas, this concept has been expressed more formally as an optimality…

神经元与认知 · 定量生物学 2016-03-02 Deep Ganguli , Eero P. Simoncelli
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