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相关论文: Spatiotemporal adaptation through corticothalamic …

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The proposed analysis of the currently available experimental results concerning the neural cell activity in the brain area known as hippocampus suggests a particular mechanism of spatial information and memory processing. Below it is…

其他定量生物学 · 定量生物学 2007-05-23 Yu. Dabaghian , A. G. Cohn , L. Frank

The neural networks of the brain are capable of learning statistical input regularities on the basis of synaptic learning, functional integration into increasingly larger, interconnected neural assemblies, and self organization. This self…

机器人学 · 计算机科学 2022-06-10 Birgitta Dresp-Langley

Traveling waves of neural activity emerge in cortical networks both spontaneously and in response to stimuli. The spatiotemporal structure of waves can indicate the information they encode and the physiological processes that sustain them.…

神经元与认知 · 定量生物学 2023-12-12 Sage Shaw , Zachary P Kilpatrick

Non-sensory thalamic nuclei interact with the cortex through thalamocortical and cortico-basal ganglia-thalamocortical loops. Reciprocal connections between the mediodorsal thalamus (MD) and the prefrontal cortex are particularly important…

神经元与认知 · 定量生物学 2024-09-04 Bianca Sieveritz , Roozbeh Kiani

Temporal resolution of visual information processing is thought to be an important factor in predator-prey interactions, shaped in the course of evolution by animals' ecology. Here I show that light can be considered to have a dual role of…

神经元与认知 · 定量生物学 2019-10-25 Bartosz Jura

Understanding how cortex, subcortex and cerebellum integrate is a major challenge for neuroscience, however, studies of the brain's structural connectivity have mostly focused on cortico-cortical links. Here, we used diffusion imaging to…

神经元与认知 · 定量生物学 2025-10-21 Julian Schulte , Mario Senden , Gustavo Deco , Xenia Kobeleva , Gorka Zamora-López

Brain-computer interface allows people who have lost their motor skills to control robot limbs based on electroencephalography. Most BCIs are guided only by visual feedback and do not have somatosensory feedback, which is an important…

人机交互 · 计算机科学 2020-12-14 Myoung-Ki Kim , Jeong-Hyun Cho , Ji-Hoon Jeong

Neural field theory is used to quantitatively analyze the two-dimensional spatiotemporal correlation properties of gamma-band (30 -- 70 Hz) oscillations evoked by stimuli arriving at the primary visual cortex (V1), and modulated by patchy…

神经元与认知 · 定量生物学 2021-03-19 X. Liu , P. Sanz-Leon , P. A. Robinson

A core challenge for the brain is to process information across various timescales. This could be achieved by a hierarchical organization of temporal processing through intrinsic mechanisms (e.g., recurrent coupling or adaptation), but…

神经元与认知 · 定量生物学 2024-01-18 Lucas Rudelt , Daniel González Marx , F. Paul Spitzner , Benjamin Cramer , Johannes Zierenberg , Viola Priesemann

Feedback loops are known as a versatile tool for controlling transport in small systems, which usually have large intrinsic fluctuations. Here we investigate the control of a temporal correlation function, the waiting time distribution,…

介观与纳米尺度物理 · 物理学 2016-04-13 Tobias Brandes , Clive Emary

In this paper we develop a geometrical model of functional architecture for the processing of spatio-temporal visual stimuli. The model arises from the properties of the receptive field linear dynamics of orientation and speed-selective…

偏微分方程分析 · 数学 2013-05-06 Davide Barbieri , Giovanna Citti , Giacomo Cocci , Alessandro Sarti

Topological data analyses are rapidly turning into key tools for quantifying large volumes of neurobiological data, e.g., for organizing the spiking outputs of large neuronal ensembles and thus gaining insights into the information produced…

神经元与认知 · 定量生物学 2019-09-18 Yuri Dabaghian

The traditional view of neural computation in the cerebral cortex holds that sensory neurons are specialized, i.e., selective for certain dimensions of sensory stimuli. This view was challenged by evidence of contextual interactions between…

神经元与认知 · 定量生物学 2022-04-26 Sergei Gepshtein , Ambarish Pawar , Sunwoo Kwon , Sergey Savel'ev , Thomas D. Albright

A new theory of mammalian hearing is presented, which accounts for the auditory image in the midbrain (inferior colliculus) of objects in the acoustical environment of the listener. It is shown that the ear is a temporal imaging system that…

神经元与认知 · 定量生物学 2024-06-04 Adam Weisser

A wealth of studies report evidence that occipitotemporal cortex tessellates into "category-selective" brain regions that are apparently specialized for representing ecologically important visual stimuli like faces, bodies, scenes, and…

神经元与认知 · 定量生物学 2024-11-14 J. Brendan Ritchie , Susan G. Wardle , Maryam Vaziri-Pashkam , Dwight J. Kravitz , Chris I. Baker

Biological nervous systems constitute important sources of inspiration towards computers that are faster, cheaper, and more energy efficient. Neuromorphic disciplines view the brain as a coevolved system, simultaneously optimizing the…

神经与进化计算 · 计算机科学 2025-09-18 Jens Egholm Pedersen , Jörg Conradt , Tony Lindeberg

We review how sensorimotor control is dictated by interacting neural populations, optimal feedback mechanisms, and the biomechanics of bodies. First, we outline the distributed anatomical loops that shuttle sensorimotor signals between…

神经元与认知 · 定量生物学 2025-09-19 Muhammad Noman Almani , John Lazzari , Jeff Walker , Shreya Saxena

It has been hypothesized that Gamma cortical oscillations play important roles in numerous cognitive processes and may involve psychiatric conditions including anxiety, schizophrenia, and autism. Gamma rhythms are commonly observed in many…

神经元与认知 · 定量生物学 2021-03-11 Fereshteh Arab , Sareh Rostami , Mohammad Dehghani-Habibabadi , Vahid Salari , Mir-Shahram Safari

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

Animals thrive in a constantly changing environment and leverage the temporal structure to learn well-factorized causal representations. In contrast, traditional neural networks suffer from forgetting in changing environments and many…

人工智能 · 计算机科学 2024-07-25 Ali Hummos