Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Máté Lengyel"'
Publikováno v:
Cell Reports, Vol 42, Iss 4, Pp 112386- (2023)
Summary: The input-output transformation of individual neurons is a key building block of neural circuit dynamics. While previous models of this transformation vary widely in their complexity, they all describe the underlying functional architecture
Externí odkaz:
https://doaj.org/article/ef51314839824b29ab2756e2ee433e74
Publikováno v:
Cells, Vol 11, Iss 17, p 2633 (2022)
Therapeutic targets in cancer cells defective for the tumor suppressor ARID1A are fundamentals of synthetic lethal strategies. However, whether modulating ARID1A function in premalignant breast epithelial cells could be exploited to reduce carcinogen
Externí odkaz:
https://doaj.org/article/c9ce962e0dc94f1788fb503471f52db0
Publikováno v:
eLife, Vol 8 (2019)
An important computational goal of the visual system is ‘representational untangling’ (RU): representing increasingly complex features of visual scenes in an easily decodable format. RU is typically assumed to be achieved in high-level visual cor
Externí odkaz:
https://doaj.org/article/6d559d0d6604498885ddb61f6e98adc2
Autor:
Gábor Lengyel, Goda Žalalytė, Alexandros Pantelides, James N Ingram, József Fiser, Máté Lengyel, Daniel M Wolpert
Publikováno v:
eLife, Vol 8 (2019)
The concept of objects is fundamental to cognition and is defined by a consistent set of sensory properties and physical affordances. Although it is unknown how the abstract concept of an object emerges, most accounts assume that visual or haptic bou
Externí odkaz:
https://doaj.org/article/26e7d9ec734742fe91ee8a7406a49219
Publikováno v:
eLife, Vol 6 (2017)
Externí odkaz:
https://doaj.org/article/be7bba5a5e9c4f92ac60c6697aafaa46
Autor:
Laurence Aitchison, Máté Lengyel
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 12, p e1005186 (2016)
Probabilistic inference offers a principled framework for understanding both behaviour and cortical computation. However, two basic and ubiquitous properties of cortical responses seem difficult to reconcile with probabilistic inference: neural activ
Externí odkaz:
https://doaj.org/article/533bc40a72e04380a6861124eb188923
Publikováno v:
eLife, Vol 5 (2016)
Interpreting visual scenes typically requires us to accumulate information from multiple locations in a scene. Using a novel gaze-contingent paradigm in a visual categorization task, we show that participants' scan paths follow an active sensing stra
Externí odkaz:
https://doaj.org/article/fdf11e2df6a84b29ad24b6f8d80f0e3b
Publikováno v:
eLife, Vol 4 (2015)
Cortical neurons integrate thousands of synaptic inputs in their dendrites in highly nonlinear ways. It is unknown how these dendritic nonlinearities in individual cells contribute to computations at the level of neural circuits. Here, we show that d
Externí odkaz:
https://doaj.org/article/c370d72abfbe4504b7932637fac5562b
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 2, p e1003489 (2014)
A venerable history of classical work on autoassociative memory has significantly shaped our understanding of several features of the hippocampus, and most prominently of its CA3 area, in relation to memory storage and retrieval. However, existing th
Externí odkaz:
https://doaj.org/article/43cfe689b9f74c2d8a419414dc74f4d5
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 9, p e1000493 (2009)
The dendritic tree contributes significantly to the elementary computations a neuron performs while converting its synaptic inputs into action potential output. Traditionally, these computations have been characterized as both temporally and spatiall
Externí odkaz:
https://doaj.org/article/6135cca6469249c0b1cbe227190651c9