Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Michael A. Arbib"'
In Neural Organization, Arbib, Érdi, and Szentágothai integrate structural, functional, and dynamical approaches to the interaction of brain models and neurobiologcal experiments.In Neural Organization, Arbib, Érdi, and Szentágothai integrate str
Autor:
Brad Gasser, Michael A. Arbib
Publikováno v:
Adaptive Behavior. 25:195-213
We present a novel model, SCP1, of monkey sequence learning that takes the processes of stimulus recognition and motor planning seriously in addressing a robust dataset on list learning obtained through the Simultaneous Chaining Paradigm (SCP). Strik
Autor:
Michael A. Arbib
Publikováno v:
Biological Process in Living Systems ISBN: 9781351297165
Biological Process in Living Systems
Biological Process in Living Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaa3bdee0c0e144dc14e2fdc20091f82
https://doi.org/10.4324/9781351297165-7
https://doi.org/10.4324/9781351297165-7
Publikováno v:
Neural Networks. 19:254-271
Neurophysiology reveals the properties of individual mirror neurons in the macaque while brain imaging reveals the presence of 'mirror systems' (not individual neurons) in the human. Current conceptual models attribute high level functions such as ac
Autor:
Michael A. Arbib, Erhan Oztop
Publikováno v:
Biological Cybernetics. 87:116-140
Mirror neurons within a monkey's premotor area F5 fire not only when the monkey performs a certain class of actions but also when the monkey observes another monkey (or the experimenter) perform a similar action. It has thus been argued that these ne
The paper introduces dyadic brain modelling, offering both a framework for modelling the brains of interacting agents and a general framework for simulating and visualizing the interactions generated when the brains (and the two bodies) are each code
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b27171711ddca314fd89fce7f5fdd6d3
https://europepmc.org/articles/PMC4006188/
https://europepmc.org/articles/PMC4006188/
Publikováno v:
Neural Networks. 13:975-997
The article contributes to the quest to relate global data on brain and behavior (e.g. from PET, Positron Emission Tomography, and fMRI, functional Magnetic Resonance Imaging) to the underpinning neural networks. Models tied to human brain imaging da
Publikováno v:
European Journal of Neuroscience. 10:86-94
This study focuses on the role of the motor cortex, the spinal cord and the cerebellum in the dynamics stage of the control of arm movement. Currently, two classes of models have been proposed for the neural control of movements, namely the virtual t
Publikováno v:
Biological Cybernetics. 75:29-36
A large, realistic cerebellar neural network has been incorporated into a previously developed saccade model. Using this model, in the present paper, we simulate the complex spatiotemporal behavior of the neuronal subpopulations implicated in adaptiv
Publikováno v:
Human Brain Mapping. 2:225-233
Synthetic PET is introduced as a new computational technique for connecting neural network studies based on animal data and image studies of human brain function. Synthetic PET comparisons are taken from a computational model of interacting neural ne