Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Marko Puljic"'
Pattern-based computing via sequential phase transitions in hierarchical mean field neuropercolation
Autor:
Marko Puljic, Robert Kozma
Publikováno v:
Theoretical Computer Science. 633:54-70
In this work, we describe operational principles of a pattern-based computing paradigm based on the neuropercolation model, which can be used as associative memory supporting sensory processing and pattern recognition. Neuropercolation extends the co
Publikováno v:
SMC
Learning in the mammalian brain is commonly modeled through changing synaptic connections in cortical networks. Dynamical brain models indicate that learning leads to the formation of limit cycle oscillations across cortical areas and that the oscill
Autor:
Marko Puljic, Robert Kozma
Publikováno v:
Neural Networks. 45:101-110
Sensory information processing and cognition in brains are modeled using dynamic systems theory. The brain's dynamic state is described by a trajectory evolving in a high-dimensional state space. We introduce a hierarchy of random cellular automata a
Autor:
Marko Puljic, Robert Kozma
Publikováno v:
Cognitive Computation. 5:164-169
We analyze spatio-temporal dynamics of coupled neural oscillatory arrays. The interconnected oscillators can produce a wide range of dynamics, including quasi-periodic limit cycles, chaotic waveforms, and intermittent chaotic oscillations. We study t
Publikováno v:
KOZMA, ROBERT; PULJIC, MARKO; & PERLOVSKY, LEONID. (2009). MODELING GOAL-ORIENTED DECISION MAKING THROUGH COGNITIVE PHASE TRANSITIONS. New Mathematics and Natural Computation, 05(01), 143-157. doi: 10.1142/S1793005709001246. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/4wx298h8
Cognitive experiments indicate the presence of discontinuities in brain dynamics during high-level cognitive processing. Non-linear dynamic theory of brains pioneered by Freeman explains the experimental findings through the theory of metastability a
Autor:
Helena Šlogar, Marko Puljić
Publikováno v:
Međunarodne Studije, Vol XXII, Iss 2, Pp 59-81 (2022)
Cilj je rada utvrditi povezanost između rasta broja industrijskih robota i određenih karakteristika tržišta rada Europske unije s posebnim osvrtom na prerađivačku industriju. Rezultati statističke analize pokazuju kako gustoća industrijskih r
Externí odkaz:
https://doaj.org/article/309940a6c9914e99b8e3588af3a3db3b
Autor:
Marko Puljic, Robert Kozma
Publikováno v:
Complexity. 10:42-50
Questions related to the evolution of the structure of networks have received recently a lot of attention in the literature. But what is the state of the network given its structure? For example, there is the question of how the structures of neural
Autor:
Marko Puljic, Robert Kozma
Publikováno v:
Current opinion in neurobiology. 31
Mathematical approaches are reviewed to interpret intermittent singular space–time dynamics observed in brain imaging experiments. The following aspects of brain dynamics are considered: nonlinear dynamics (chaos), phase transitions, and criticalit
Publikováno v:
Criticality in Neural Systems
Author(s): Kozma, Robert; Puljic, Marko; Freeman, Walter J, III | Abstract: Criticality in the cortex emerges from the seemingly random interaction of microscopic components and produces higher cognitive functions at mesoscopic and macroscopic scales
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a471086959e51670709b87dc518fe2d8
https://doi.org/10.1002/9783527651009.ch7
https://doi.org/10.1002/9783527651009.ch7
Autor:
Marko Puljic, Robert Kozma
Publikováno v:
Advances in Cognitive Neurodynamics (II) ISBN: 9789048196944
Critical properties of dynamic models of neural populations are studied. Based on the classical work of Erdős-Renyi on the evolution of random graphs and motivated by the properties of the cortical tissue, a new class of random cellular automata cal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b7e83734caee7492fc90701898fa376
https://doi.org/10.1007/978-90-481-9695-1_6
https://doi.org/10.1007/978-90-481-9695-1_6