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相关论文: Expectation-induced modulation of metastable activ…

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Cortical neurons emit seemingly erratic trains of action potentials or "spikes," and neural network dynamics emerge from the coordinated spiking activity within neural circuits. These rich dynamics manifest themselves in a variety of…

神经元与认知 · 定量生物学 2022-04-01 Braden A. W. Brinkman , Han Yan , Arianna Maffei , Il Memming Park , Alfredo Fontanini , Jin Wang , Giancarlo La Camera

Single trial analyses of ensemble activity in alert animals demonstrate that cortical circuits dynamics evolve through temporal sequences of metastable states. Metastability has been studied for its potential role in sensory coding, memory…

神经元与认知 · 定量生物学 2016-03-23 Luca Mazzucato , Alfredo Fontanini , Giancarlo La Camera

Metastable brain dynamics are characterized by abrupt, jump-like modulations so that the neural activity in single trials appears to unfold as a sequence of discrete, quasi-stationary states. Evidence that cortical neural activity unfolds…

神经元与认知 · 定量生物学 2019-06-20 Giancarlo La Camera , Alfredo Fontanini , Luca Mazzucato

To thrive in dynamic environments, animals must be capable of rapidly and flexibly adapting behavioral responses to a changing context and internal state. Examples of behavioral flexibility include faster stimulus responses when attentive…

神经元与认知 · 定量生物学 2021-01-27 David Wyrick , Luca Mazzucato

Flexible modulation of temporal dynamics in neural sequences underlies many cognitive processes. For instance, we can adaptively change the speed of motor sequences and speech. While such flexibility is influenced by various factors such as…

神经元与认知 · 定量生物学 2025-04-15 Tomoki Kurikawa , Kunihiko Kaneko

Past work has reported inverted-U relationships between arousal and auditory task performance, but the underlying neural network mechanisms remain unclear. To make progress, we recorded auditory cortex activity from behaving mice during…

神经元与认知 · 定量生物学 2025-11-05 Lia Papadopoulos , Suhyun Jo , Kevin Zumwalt , Michael Wehr , Santiago Jaramillo , David A. McCormick , Luca Mazzucato

To compensate for sensory processing delays, the visual system must make predictions to ensure timely and appropriate behaviors. Recent work has found predictive information about the stimulus in neural populations early in vision…

神经元与认知 · 定量生物学 2018-10-05 Audrey J. Sederberg , Jason N. MacLean , Stephanie E. Palmer

Predictive coding can be regarded as a function which reduces the error between an input signal and a top-down prediction. If reducing the error is equivalent to reducing the influence of stimuli from the environment, predictive coding can…

神经与进化计算 · 计算机科学 2019-11-22 Atsushi Masumori , Lana Sinapayen , Takashi Ikegami

Spike synchrony, which occurs in various cortical areas in response to specific perception, action and memory tasks, has sparked a long-standing debate on the nature of temporal organization in cortex. One prominent view is that this type…

神经元与认知 · 定量生物学 2017-12-18 Clemens Korndörfer , Ekkehard Ullner , Jordi García-Ojalvo , Gordon Pipa

Prior work has shown that a significant driver of performance in reasoning models is their ability to reason and self-correct. A distinctive marker in these reasoning traces is the token wait, which often signals reasoning behavior such as…

人工智能 · 计算机科学 2025-10-07 Dmitrii Troitskii , Koyena Pal , Chris Wendler , Callum Stuart McDougall , Neel Nanda

Brains can process sensory information from different modalities at astonishing speed; this is surprising as the integration of inputs through the membrane of each individual neuron already causes a delayed response. Neuronal recordings…

神经元与认知 · 定量生物学 2024-08-20 Simon Brandt , Mihai Alexandru Petrovici , Walter Senn , Katharina Anna Wilmes , Federico Benitez

Encoding models are used for predicting brain activity in response to sensory stimuli with the objective of elucidating how sensory information is represented in the brain. Encoding models typically comprise a nonlinear transformation of…

神经元与认知 · 定量生物学 2017-03-13 Umut Güçlü , Marcel A. J. van Gerven

Sensory systems across all modalities and species exhibit adaptation to continuously changing input statistics. Individual neurons have been shown to modulate their response gains so as to maximize information transmission in different…

神经元与认知 · 定量生物学 2023-06-01 Lyndon R. Duong , Colin Bredenberg , David J. Heeger , Eero P. Simoncelli

Predictive coding theory suggests that the brain continuously anticipates upcoming words to optimize language processing, but the neural mechanisms remain unclear, particularly in naturalistic speech. Here, we simultaneously recorded EEG…

Living systems process sensory data to facilitate adaptive behaviour. A given sensor can be stimulated as the result of internally driven activity, or by purely external (environmental) sources. It is clear that these inputs are processed…

神经与进化计算 · 计算机科学 2022-05-16 James Garner , Matthew Egbert

We show that dynamical gain modulation of neurons' stimulus response is described as an information-theoretic cycle that generates entropy associated with the stimulus-related activity from entropy produced by the modulation. To articulate…

神经元与认知 · 定量生物学 2017-12-29 Hideaki Shimazaki

Population-wide oscillations are ubiquitously observed in mesoscopic signals of cortical activity. In these network states a global oscillatory cycle modulates the propensity of neurons to fire. Synchronous activation of neurons has been…

神经元与认知 · 定量生物学 2017-07-04 Tobias Kühn , Moritz Helias

The subcortical sensory pathways are the fundamental channels for mapping the outside world to our minds. Sensory pathways efficiently transmit information by adapting neural responses to the local statistics of the sensory input. The…

神经元与认知 · 定量生物学 2020-03-26 Alejandro Tabas , Glad Mihai , Stefan Kiebel , Robert Trampel , Katharina von Kriegstein

The predictive processing (PP) hypothesizes that the predictive inference of our sensorimotor system is encoded implicitly in the regularities between perception and action. We propose a neural architecture in which such regularities of…

机器人学 · 计算机科学 2018-04-12 Junpei Zhong , Angelo Cangelosi , Xinzheng Zhang , Tetsuya Ogata

The activity of neurons within brain circuits has been ubiquitously reported to be correlated. The impact of these correlations on brain function has been extensively investigated. Correlations can in principle increase or decrease the…

神经元与认知 · 定量生物学 2025-07-24 Miguel Ibáñez-Berganza , Giulio Bondanelli , Stefano Panzeri
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