Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Noor Sajid"'
Autor:
Noor Sajid, Andrea Gajardo-Vidal, Justyna O. Ekert, Diego L. Lorca-Puls, Thomas M. H. Hope, David W. Green, Karl J. Friston, Cathy J. Price
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract Both classic and contemporary models of auditory word repetition involve at least four left hemisphere regions: primary auditory cortex for processing sounds; pSTS (within Wernicke’s area) for processing auditory images of speech; pOp (wit
Externí odkaz:
https://doaj.org/article/34c9422633eb43aeb0c43935704b3f3e
Autor:
Johan Medrano, Noor Sajid
Publikováno v:
Entropy, Vol 26, Iss 9, p 731 (2024)
Misunderstandings in dyadic interactions often persist despite our best efforts, particularly between native and non-native speakers, resembling a broken duet that refuses to harmonise. This paper delves into the computational mechanisms underpinning
Externí odkaz:
https://doaj.org/article/874ceb047d84411f886c9a33f3d120c7
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Computational models of visual attention in artificial intelligence and robotics have been inspired by the concept of a saliency map. These models account for the mutual information between the (current) visual information and its estimated causes. H
Externí odkaz:
https://doaj.org/article/b50440c8691a4e7c92ea91ac8a12431d
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Functional recovery after brain damage varies widely and depends on many factors, including lesion site and extent. When a neuronal system is damaged, recovery may occur by engaging residual (e.g., perilesional) components. When damage is ex
Externí odkaz:
https://doaj.org/article/a001e02149514f9ba1bda01fe334ff51
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
The active visual system comprises the visual cortices, cerebral attention networks, and oculomotor system. While fascinating in its own right, it is also an important model for sensorimotor networks in general. A prominent approach to studying this
Externí odkaz:
https://doaj.org/article/872bf4d4a4da43aeaf5a8ad980fc70cc
Publikováno v:
Entropy, Vol 24, Iss 3, p 361 (2022)
Recent advances in neuroscience have characterised brain function using mathematical formalisms and first principles that may be usefully applied elsewhere. In this paper, we explain how active inference—a well-known description of sentient behavio
Externí odkaz:
https://doaj.org/article/ef527985f18f4004ab97cac967bfe03b
Publikováno v:
Entropy, Vol 23, Iss 5, p 609 (2021)
Biological forms depend on a progressive specialization of pluripotent stem cells. The differentiation of these cells in their spatial and functional environment defines the organism itself; however, cellular mutations may disrupt the mutual balance
Externí odkaz:
https://doaj.org/article/eb7e2243032e45ce8f31fd69b8f8674f
Publikováno v:
Behavioral Sciences, Vol 10, Iss 10, p 161 (2020)
Understanding the aetiology of the diverse recovery patterns in bilingual aphasia is a theoretical challenge with implications for treatment. Loss of control over intact language networks provides a parsimonious starting point that can be tested usin
Externí odkaz:
https://doaj.org/article/8b6baa7033ad4f1c8135d03b08c1ed74
Publikováno v:
Entropy, Vol 22, Iss 5, p 552 (2020)
The segregation of neural processing into distinct streams has been interpreted by some as evidence in favour of a modular view of brain function. This implies a set of specialised ‘modules’, each of which performs a specific kind of computation
Externí odkaz:
https://doaj.org/article/2de43ed19f9b47dd99f4f25d6a123ad0
Publikováno v:
Neural Computation. 35:807-852
Active inference is a probabilistic framework for modeling the behavior of biological and artificial agents, which derives from the principle of minimizing free energy. In recent years, this framework has been applied successfully to a variety of sit